SYSTEM AND METHOD FOR ASSOCIATING WIRELESS NODES OF A CONSIST

A train control system enables rapid, reliable, and verifiable association of a mobile component carried by an operator with at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in a train. The train control system may include a mobile component configured to be carried by an operator from one of the locomotives to another in the one or more consists. The at least one of a device, feature, or short range transceiver and the mobile component may be configured to communicate with each other wirelessly when brought within a threshold distance or less from each other. The mobile component may be configured to exchange a unique identifier with each locomotive automatically or upon an action of the operator when the operator brings the mobile component to within the threshold distance or less of each of the one or more locomotives. The train control system may be configured to limit communication of wireless control commands or diagnostic information from a lead locomotive such that the commands or diagnostic information are communicated only to others of the one or more locomotives that have been verifiably identified as being associated with the lead locomotive by exchange of the unique identifier with the mobile component carried by the operator.

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Description
TECHNICAL FIELD

The present disclosure relates generally to a system and method for associating wireless nodes and, more particularly, a system and method for associating wireless nodes at locomotives of a consist with a lead locomotive in a train.

BACKGROUND

Rail vehicles may include multiple powered units, such as locomotives, that are mechanically coupled or linked together in a consist. The consist of powered units operates to provide tractive and/or braking efforts to propel and stop movement of the rail vehicle. The powered units in the consist may change the supplied tractive and/or braking efforts based on a data message that is communicated to the powered units. For example, the supplied tractive and/or braking efforts may be based on Positive Train Control (PTC) instructions or control information for an upcoming trip. The control information may be used by a software application to determine the speed of the rail vehicle for various segments of an upcoming trip of the rail vehicle. Control systems and subsystems for controlling and monitoring the tractive and/or braking efforts performed by one or more locomotives of the rail vehicle and performing other operations associated with the locomotives and other rail cars in a train may be located in part on the rail vehicle and/or distributed across one or more servers off-board the vehicle at one or more remote control stations. Wireless control and diagnostics between a lead locomotive and other locomotives in a consist or a train requires a knowledge of which wireless nodes are associated with the consist and which are not. Unintended communication of commands and/or diagnostic information from a lead locomotive of a train to a locomotive on another train is generally not appropriate.

A goal in the operation of the locomotives and other rail cars in a train is to provide the most accurate and up-to-date information regarding operational characteristics of the entire train and all computer systems and subsystems of the train to a human or autonomous operator located on-board or at a remote controller interface. In order to achieve the goal, e.g., of providing automatic train operation (ATO), a reliable, precisely calibrated and synchronized computerized control system must be provided in order to transmit train control commands and other data indicative of operational characteristics associated with the various computer systems and subsystems of the locomotive consists and other rail cars between the train and an off-board, remote controller interface (also sometimes referred to as the “back office”) and/or between a lead locomotive of a consist and trailing locomotives of the consist. A remote controller interface may also comprise one or more remote servers, such as servers located “in the cloud,” or communicatively connected over the Internet or other communication network. The control system must be capable of transmitting data messages having the information used to control the tractive and/or braking efforts of the rail vehicle and other operational characteristics of the various consist subsystems while the rail vehicle is moving. The control system must also be able to transmit information regarding a detected fault on-board a locomotive, and possibly respond with control commands to reset the fault. There is also a need for a train tracking and monitoring system that determines and presents current, real-time position information for one or more trains in a railroad network, the configuration or arrangement of powered and non-powered units within each of the trains, and operational status of the various systems and subsystems of the trains that are being tracked. Advances in the bandwidth, throughput, data transmission speeds, and other capabilities of various telecommunication networks, including 5G wireless communication networks, enables the placement of a large number of sensor devices throughout the train, and communication of sensor data to and from various control systems and subsystems of the trains. The control systems and subsystems may be distributed locally on leading and trailing consists of the trains, and/or remotely, off-board the trains at one or more distributed remote servers or control centers such as the back office and other control centers connected over the Internet. Proper synchronization, calibration, and coordination between the distributed control systems is important for determining the exact configuration of the train and operational status of all train assets, systems, and subsystems at any point in time, and implementing reconfiguration of train assets and/or changes in operational parameters of the systems and subsystems when necessary to meet operational goals. Depending on a wireless technology being employed, existing methods may require operator actions within a cab of each locomotive in a consist. A problem with this is that there is a risk of injury resulting from an operator climbing up a ladder to access the cab on each locomotive. The process of an operator climbing into each cab also adds significant delay when completing the actions required to associate the wireless nodes in the cabs of each trailing locomotive in a consist with a lead locomotive.

One example of a powered system, such as a train, that includes a control system for remotely controlling speed regulation of the powered system to improve efficiency of operation of the powered system is disclosed in U.S. Pat. No. 8,989,917 of Kumar, that issued on Mar. 24, 2015 (“the '917 patent”). In particular, the '917 patent discloses a system for operating a remotely controlled powered system. The system includes feedforward and feedback elements configured to provide and receive information related to predicted and actual movement of the powered system to remotely control the speed of the system to improve efficiency of operation.

Although useful in allowing for remote control of the speed of operation of one or more locomotives in a train, the system of the '917 patent may be limited. In particular, the '917 patent does not provide a way to readily associate wireless nodes in cabs of the trailing locomotives in one or more consists of a train with a lead locomotive of the train in a rapid, reliable, and verifiable manner, without the above-discussed problems of risk and delay while an operator climbs into each cab.

The present disclosure is directed at overcoming one or more of the shortcomings set forth above and/or other problems of the prior art.

SUMMARY

In one aspect, the present disclosure is directed to a train control system configured to enable rapid, reliable, and verifiable association of a mobile component carried by an operator with at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in a train. The train control system may include the mobile component configured to be carried by an operator from one of the one or more locomotives to another of the one or more locomotives in the one or more consists in the train. The at least one of a device, feature, or short range transceiver located on each of the one or more locomotives in the one or more consists in the train and the mobile component may be configured to communicate with each other wirelessly when brought within a threshold distance or less from each other. The mobile component may be configured to transmit to each of the one or more locomotives an identifier unique to the one or more consists in the train or unique to a wireless network associated with the one or more consists. The mobile component may be further configured to transmit the unique identifier to each of the one or more locomotives automatically or upon an action of the operator when the operator brings the mobile component to within the threshold distance or less of each of the one or more locomotives. The train control system may be configured to limit communication of wireless control commands or diagnostic information from a lead locomotive of the one or more locomotives such that the commands or diagnostic information may be communicated only to other locomotives of the one or more locomotives that have been verifiably identified as being associated with the lead locomotive by receipt of the unique identifier from the mobile component carried by the operator.

In another aspect, the present disclosure is directed to a method of rapidly, reliably and verifiably associating locomotives in a train with a lead locomotive of the train. The method may include carrying a mobile component to within a threshold distance or less from at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in a train. The at least one of a device, feature, or short range transceiver located on each of the one or more locomotives in the one or more consists in the train and the mobile component may communicate with each other wirelessly when brought within the threshold distance or less from each other. The mobile component may transmit to each of the one or more locomotives an identifier unique to the one or more consists in the train or unique to a wireless network associated with the one or more consists. The mobile component may transmit the unique identifier to each of the one or more locomotives automatically or upon an action of an operator when the operator brings the mobile component to within the threshold distance or less of each of the one or more locomotives. The method further includes limiting communication of wireless control commands or diagnostic information from the lead locomotive of the one or more locomotives such that the commands or diagnostic information may be communicated only to others of the one or more locomotives that have been verifiably identified as being associated with the lead locomotive by receipt of the unique identifier from the mobile component carried by the operator.

In yet another aspect, the present disclosure is directed to a train control system configured to enable rapid, reliable, and verifiable association of a lead locomotive in a consist in a train over a first wireless network with a wireless node located on one or more other locomotives of one or more consists in the train. The train control system may include at least one of a mobile component configured to be carried by an operator from one of the one or more locomotives to another of the one or more locomotives in the one or more consists in the train, or a separate, second wireless network communicatively coupled to the one or more locomotives in the one or more consists in the train. The wireless node located on each of the one or more locomotives in the one or more consists in the train and the at least one of the mobile component or the separate, second wireless network may be configured to communicate with each other wirelessly. The mobile component and the separate, second wireless network may be configured to transmit to each of the one or more locomotives an identifier unique to the one or more consists in the train or unique to the first wireless network associated with the one or more consists. The mobile component may be further configured to transmit the unique identifier to each of the one or more locomotives automatically or upon an action of the operator when the operator brings the mobile component to within the threshold distance or less of each of the one or more locomotives. The train control system may be configured to limit communication of wireless control commands or diagnostic information from a lead locomotive of the one or more locomotives such that the commands or diagnostic information may be communicated only to other locomotives of the one or more locomotives that have been verifiably identified as being associated with the lead locomotive by receipt of the unique identifier from the mobile component carried by the operator or from the separate, second wireless network.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic diagram of one embodiment of a control system for a train;

FIG. 2 is a block diagram of one implementation of a portion of the control system illustrated in FIG. 1;

FIG. 3 is an illustration of a system for utilizing real-time data for predictive analysis of the performance of a monitored system, in accordance with one embodiment.

DETAILED DESCRIPTION

FIG. 1 is a schematic diagram of one embodiment of a control system 100 for operating a train 102 traveling along a track 106. The train may include multiple rail cars (including powered and/or non-powered rail cars or units) linked together as one or more consists or a single rail car (a powered or non-powered rail car or unit). The control system 100 may provide for cost savings, improved safety, increased reliability, operational flexibility, and convenience in the control of the train 102 through communication of network data between an off-board remote controller interface 104 and the train 102. The control system 100 may also provide a means for remote operators or third party operators to communicate with the various locomotives or other powered units of the train 102 from remote interfaces that may include any computing device connected to the Internet or other wide area or local communications network. The control system 100 may be used to convey a variety of network data and command and control signals in the form of messages communicated to the train 102, such as packetized data or information that is communicated in data packets, from the off-board remote controller interface 104. The off-board remote controller interface 104 may also be configured to receive remote alerts and other data from a controller on-board the train, and forward those alerts and data to desired parties via pagers, mobile telephone, email, and online screen alerts. The data communicated between the train 102 and the off-board remote controller interface 104 may include signals indicative of various operational parameters associated with components and subsystems of the train, signals indicative of fault conditions, signals indicative of maintenance activities or procedures, and command and control signals operative to change the state of various circuit breakers, throttles, brake controls, actuators, switches, handles, relays, and other electronically-controllable devices on-board any locomotive or other powered unit of the train 102. The remote controller interface 104 also enables the distribution of the various computer systems such as control systems and subsystems involved in operation of the train or monitoring of train operational characteristics at one or more remote locations off-board the train and accessible by authorized personnel over the Internet, wireless telecommunication networks, and by other means. In various exemplary embodiments, a centralized or cloud-based computer processing system including remote controller interface 104 may be located in one or more of a back-office server or a plurality of servers remote from the train. One or more distributed, edge-based computer processing systems may be located on-board one or more locomotives of the train, and each of the distributed computer processing systems may be communicatively connected to the centralized computer processing system.

A train control system according to various exemplary embodiments of this disclosure may be configured to enable rapid, reliable, and verifiable association of a mobile component carried by an operator with at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in a train. The train control system may include the mobile component configured to be carried by an operator from one of the one or more locomotives to another of the one or more locomotives in the one or more consists in the train. The at least one of a device, feature, or short range transceiver located on each of the one or more locomotives in the one or more consists in the train and the mobile component may be configured to communicate with each other wirelessly when brought within a threshold distance or less from each other. The mobile component may be configured to transmit to each of the one or more locomotives an identifier unique to the one or more consists in the train or unique to a wireless network associated with the one or more consists. The mobile component may be further configured to transmit the unique identifier to each of the one or more locomotives automatically or upon an action of the operator when the operator brings the mobile component to within the threshold distance or less of each of the one or more locomotives. The train control system may be configured to limit communication of wireless control commands or diagnostic information from a lead locomotive of the one or more locomotives such that the commands or diagnostic information may be communicated only to other locomotives of the one or more locomotives that have been verifiably identified as being associated with the lead locomotive by receipt of the unique identifier from the mobile component carried by the operator.

Control system 100 may be configured to use artificial intelligence for maintaining synchronization between centralized (cloud-based) and distributed (edge-based) train control models. Control system 100 may include a centralized or cloud-based computer processing system located in one or more of a back-office server or a plurality of servers remote from train 102, one or more distributed, edge-based computer processing systems located on-board one or more locomotives of the train, wherein each of the distributed computer processing systems is communicatively connected to the centralized computer processing system, and a data acquisition hub 312 (see FIG. 3) communicatively connected to one or more of databases and a plurality of sensors associated with the one or more locomotives or other components of the train and configured to acquire real-time and historical configuration, structural, and operational data in association with inputs derived from real time and historical contextual data relating to a plurality of trains operating under a variety of different conditions for use as training data.

Control system 100 may also include a centralized virtual system modeling engine included in the centralized computer processing system and configured to create one or more centralized models of one or more actual train control systems in operation on-board the one of more locomotives of the train based at least in part on data received from the data acquisition hub, wherein a first one of the centralized models is utilized in a process of generating a first set of output control commands for a first train control scenario implemented by an energy management system associated with one or more of the locomotives, and one or more distributed virtual system modeling engines included in one or more of the distributed computer processing systems, each of the one or more distributed virtual system modeling engines being configured to create one or more edge-based models of one or more actual train control systems in operation on-board the one or more locomotives of the train based at least in part on data received from the data acquisition hub, wherein a first one of the edge-based models is utilized in a process of generating a second set of output control commands for a second train control scenario implemented by the energy management system associated with the one or more of the locomotives. A machine learning engine may be included in at least one of the centralized and distributed computer processing systems, the machine learning engine being configured to receive the training data from the data acquisition hub, receive the first centralized model from the centralized virtual system modeling engine, receive the first edge-based model from one of the distributed virtual system modeling engines, and compare the first set of output control commands generated by the first centralized model for the first train control scenario and the second set of output control commands generated by the first edge-based model for the second train control scenario.

The machine learning engine may train a learning system using the training data to enable the machine learning engine to safely mitigate a divergence discovered between the first and second sets of output control commands using a learning function including at least one learning parameter. Training the learning system may include providing the training data as an input to the learning function, the learning function being configured to use the at least one learning parameter to generate an output based on the input, causing the learning function to generate the output based on the input, comparing the output to one or more of the first and second sets of output control commands to determine a difference between the output and the one or more of the first and second sets of output control commands, and modifying the at least one learning parameter and the output of the learning function to decrease the difference responsive to the difference being greater than a threshold difference and based at least in part on actual real time and historical information on in-train forces and train operational characteristics acquired from a plurality of trains operating under a variety of different conditions. An energy management system associated with the one or more locomotives of the train may be configured to adjust one or more of throttle requests, dynamic braking requests, and pneumatic braking requests for the one or more locomotives of the train based at least in part on the modified output of the learning function used by the learning system which has been trained by the machine learning engine. The train control system according to various embodiments of this disclosure ensures that various output control commands and diagnostic information that may originate at a lead locomotive of the train, or that may be sent to the lead locomotive from an offboard, centralized computer processing system, and is intended to be communicated wirelessly to trailing locomotives in the train, may only be exchanged with wireless nodes on locomotives that have been verifiably associated with the lead locomotive.

Some control strategies undertaken by control system 100 may include asset protection provisions, whereby asset operations are automatically derated or otherwise reduced in order to protect train assets, such as a locomotive, from entering an overrun condition and sustaining damage. For example, when the control system detects via sensors that the coolant temperature, oil temperature, crankcase pressure, or another operating parameter associated with a locomotive has exceeded a threshold, the control system may be configured to automatically reduce engine power (e.g., via a throttle control) to allow the locomotive to continue the current mission with a reduced probability of failure. In addition to derating or otherwise reducing certain asset operations based on threshold levels of operational parameters, asset protection may also include reducing or stopping certain operations based on the number, frequency, or timing of maintenance operations or faults detected by various sensors. In some cases, the control system may be configured to fully derate the propulsion systems of the locomotive and/or bring the train 102 to a complete stop to prevent damage to the propulsion systems in response to signals generated by sensors. In this way, the control system may automatically exercise asset protection provisions of its control strategy to reduce incidents of debilitating failure and the costs of associated repairs.

At times, however, external factors may dictate that the train 102 should continue to operate without an automatic reduction in engine power, or without bringing the train to a complete stop. The costs associated with failing to complete a mission on time can outweigh the costs of repairing one or more components, equipment, subsystems, or systems of a locomotive. In one example, a locomotive of the train may be located near or within a geo-fence characterized by a track grade or other track conditions that require the train 102 to maintain a certain speed and momentum in order to avoid excessive wheel slippage on the locomotive, or even stoppage of the train on the grade. Factors such as the track grade, environmental factors, and power generating capabilities of one or more locomotives approaching or entering the pre-determined geo-fence may result in an unacceptable delay if the train were to slow down or stop. In certain situations the train may not even be able to continue forward if enough momentum is lost, resulting in considerable delays and expense while additional locomotives are moved to the area to get the train started again. In some implementations of this disclosure the geo-fences may be characterized as no-stop zones, unfavorable-stop zones, or favorable-stop zones.

In situations when a train is approaching a geo-fence characterized as one of the above-mentioned zones, managers of the train 102 may wish to temporarily modify or disable asset protection provisions associated with automatic control of the locomotive to allow the train 102 to complete its mission on time. However, managers having the responsibility or authority to make operational decisions with such potentially costly implications may be off-board the train 102 or away from a remote controller interface, such as at a back office or other network access point. To avoid unnecessary delays in reaching a decision to temporarily modify or disable asset protection provisions of automatic train operation (ATO), the control system 100 may be configured to facilitate the selection of ride-through control levels via a user interface at an on-board controller or at the off-board remote controller interface 104. The control system 100 may also be configured to generate a ride-through control command signal including information that may be used to direct the locomotive to a geo-fence with a more favorable stop zone. Locomotive control system 100 may include the features of the present disclosure for ensuring rapid, reliable, and verifiable association of the lead locomotive with the trailing locomotives of a train when control commands and/or diagnostic information will be transmitted wirelessly from the lead locomotive to the other locomotives of the train.

Locomotive control system 100 may include a centralized or cloud-based computer processing system located in one or more of a back-office server or a plurality of servers remote from a locomotive of a train, an edge-based computer processing system located on-board the locomotive of the train, wherein the edge-based computer processing system is communicatively connected to the centralized computer processing system, and a data acquisition hub communicatively connected to one or more of databases and a plurality of sensors associated with the locomotive or other components of the train and configured to acquire real-time and historical configuration, structural, and operational data in association with inputs derived from real time and historical contextual data relating to a plurality of trains operating under a variety of different conditions and in different geographical areas for use as training data. The locomotive control system may also include a centralized virtual system modeling engine included in the centralized computer processing system and configured to create a centralized model of an actual train control system in operation on-board the locomotive of the train based at least in part on data received from the data acquisition hub, wherein the centralized model is utilized in a process of generating a first set of output control commands for a first train control scenario implemented by an energy management system associated with the locomotive, and an edge-based virtual system modeling engine included in the edge-based computer processing system, the edge-based virtual system modeling engine being configured to create an edge-based model of an actual train control system in operation on-board the locomotive of the train based at least in part on data received from the data acquisition hub, wherein the edge-based model is utilized in a process of generating a second set of output control commands for a second train control scenario implemented by the energy management system associated with the locomotive.

A machine learning engine may be included in at least one of the centralized and edge-based computer processing systems. The machine learning engine may be configured to receive the training data from the data acquisition hub, receive the centralized model from the centralized virtual system modeling engine, receive the edge-based model from the edge-based virtual system modeling engine, and train a learning system using the training data to enable the machine learning engine to predict when the locomotive will enter a geo-fence where communication between the edge-based computer processing system and the centralized computer processing system will be inhibited. Training the learning system may include providing the training data as an input to a learning function including at least one learning parameter, the learning function being configured to use the at least one learning parameter to generate an output based on the input, causing the learning function to generate the output based on the input, comparing the output of the learning function to real time data to determine a difference between the prediction and actual real time data indicative of a breakdown in communication between the centralized computer processing system and the edge-based computer processing system, and modifying the at least one learning parameter and the output of the learning function to decrease the difference responsive to the difference being greater than a threshold difference. The locomotive control system may also transfer contextual data relating to the locomotive predicted to enter a geo-fence before the locomotive actually enters the geo-fence from the edge-based computer processing system to the centralized virtual system modeling engine in the centralized computer processing system for use in creating the centralized model. This “front-loading” of some contextualized data from an edge-based computer processing system on-board the locomotive to the centralized computer processing system ahead of the time when the machine learning engine predicts that the locomotive will enter a geo-fence with insufficient communication enables the centralized computer processing system with substantially more computing power than the edge-based computer processing system to continue modeling and producing train control outputs for optimized train control scenarios, even when the train is traveling through geo-fences with reduced communication capabilities. The train control system according to various embodiments of this disclosure also ensures that a lead locomotive of one or more consists of a train may be limited in communication over a first wireless network communicatively coupling the locomotives on the train for transmission of wireless control commands or diagnostic information from the lead locomotive. The train control system may be configured to ensure that the commands or diagnostic information may be communicated from the lead locomotive only to other locomotives of the one or more consists of the train that have been verifiably identified as being associated with the lead locomotive by receipt of a unique identifier from a mobile component carried by an operator or transmitted over a second wireless network, such as a cellular data connection or positive train control (PTC) radio network.

The off-board remote controller interface 104 may be connected with an antenna module 124 configured as a wireless transmitter or transceiver to wirelessly transmit data messages and control commands to the train 102. The messages and commands may originate elsewhere, such as in a rail-yard back office system, one or more remotely located servers (such as in the “cloud”), a third party server, a computer disposed in a rail-yard tower, and the like, and be communicated to the off-board remote controller interface 104 by wired and/or wireless connections. Alternatively, the off-board remote controller interface 104 may be a satellite that transmits the messages and commands down to the train 102 or a cellular tower disposed remote from the train 102 and the track 106. Other devices may be used as the off-board remote controller interface 104 to wirelessly transmit the messages. For example, other wayside equipment, base stations, or back office servers may be used as the off-board remote controller interface 104. By way of example only, the off-board remote controller interface 104 may use one or more of the Transmission Control Protocol (TCP), Internet Protocol (IP), TCP/IP, User Datagram Protocol (UDP), or Internet Control Message Protocol (ICMP) to communicate network data over the Internet with the train 102.

As described below, the network data can include information used to automatically and/or remotely control operations of the train 102 or subsystems of the train, and/or reference information stored and used by the train 102 during operation of the train 102. The network data communicated to the off-board remote controller interface 104 from the train 102 may also provide alerts and other operational information that allows for remote monitoring, diagnostics, asset management, and tracking of the state of health of all of the primary power systems and auxiliary subsystems such as HVAC, air brakes, lights, event recorders, and the like. The increased use of distributed computer system processing enabled by advances in network communications, including but not limited to 5G wireless telecommunication networks, allows for the remote location of distributed computer system processors that may perform intensive calculations and/or access large amounts of real-time and historical data related to the train configuration, structural, and operational parameters. This distributed computer system processing may also introduce potential breakdowns in communication or transient latency issues between the distributed nodes of the communication network, leading to potential synchronization and calibration problems between various computer control systems and subsystems, and between centralized models created by a centralized virtual system modeling engine and edge-based models created by an edge-based virtual system modeling engine. The control system 100 and/or offboard remote control interface 104, according to various embodiments of this disclosure, may employ artificial intelligence algorithms and/or machine learning engines or processing modules to train learning algorithms and/or create virtual system models and perform comparisons between real-time data, historical data, and/or predicted data, to find indicators or patterns in which the distributed computer systems may face synchronization problems. The early identification of any potential synchronization or calibration problems between the various distributed computer systems or subsystems using machine learning and virtual system models enables early implementation of proactive measures to mitigate the problems. The train control system according to various exemplary embodiments of this disclosure also ensures that commands or diagnostic information may be communicated from the lead locomotive only to other locomotives of the one or more consists of the train that have been verifiably identified as being associated with the lead locomotive by receipt of a unique identifier from a mobile component carried by an operator or transmitted over a second wireless network.

The train 102 may include a lead consist 114 of powered locomotives, including the interconnected powered units 108 and 110, one or more remote or trailing consists 140 of powered locomotives, including powered units 148, 150, and additional non-powered units 112, 152. “Powered units” refers to rail cars that are capable of self-propulsion, such as locomotives. “Non-powered units” refers to rail cars that are incapable of self-propulsion, but which may otherwise receive electric power for other services. For example, freight cars, passenger cars, and other types of rail cars that do not propel themselves may be “non-powered units”, even though the cars may receive electric power for cooling, heating, communications, lighting, and other auxiliary functions.

In the illustrated embodiment of FIG. 1, the powered units 108, 110 represent locomotives joined with each other in the lead consist 114. The lead consist 114 represents a group of two or more locomotives in the train 102 that are mechanically coupled or linked together to travel along a route. The lead consist 114 may be a subset of the train 102 such that the lead consist 114 is included in the train 102 along with additional trailing consists of locomotives, such as trailing consist 140, and additional non-powered units 152, such as freight cars or passenger cars. While the train 102 in FIG. 1 is shown with a lead consist 114, and a trailing consist 140, alternatively the train 102 may include other numbers of locomotive consists joined together or interconnected by one or more intermediate powered or non-powered units that do not form part of the lead and trailing locomotive consists.

The powered units 108, 110 of the lead consist 114 include a lead powered unit 108, such as a lead locomotive, and one or more trailing powered units 110, such as trailing locomotives. As used herein, the terms “lead” and “trailing” are designations of different powered units, and do not necessarily reflect positioning of the powered units 108, 110 in the train 102 or the lead consist 114. For example, a lead powered unit may be disposed between two trailing powered units. Alternatively, the term “lead” may refer to the first powered unit in the train 102, the first powered unit in the lead consist 114, and the first powered unit in the trailing consist 140. The term “trailing” powered units may refer to powered units positioned after a lead powered unit. In another embodiment, the term “lead” refers to a powered unit that is designated for primary control of the lead consist 114 and/or the trailing consist 140, and “trailing” refers to powered units that are under at least partial control of a lead powered unit.

The powered units 108, 110 include a connection at each end of the powered unit 108, 110 to couple propulsion subsystems 116 of the powered units 108, 110 such that the powered units 108, 110 in the lead consist 114 function together as a single tractive unit. The propulsion subsystems 116 may include electric and/or mechanical devices and components, such as diesel engines, electric generators, and traction motors, used to provide tractive effort that propels the powered units 108, 110 and braking effort that slows the powered units 108, 110.

Similar to the lead consist 114, the embodiment shown in FIG. 1 also includes the trailing consist 140, including a lead powered unit 148 and a trailing powered unit 150. The trailing consist 140 may be located at a rear end of the train 102, or at some intermediate point along the train 102. Non-powered units 112 may separate the lead consist 114 from the trailing consist 140, and additional non-powered units 152 may be pulled behind the trailing consist 140.

The propulsion subsystems 116 of the powered units 108, 110 in the lead consist 114 may be connected and communicatively coupled with each other by a network connection 118. In one embodiment, the network connection 118 includes a net port and jumper cable that extends along the train 102 and between the powered units 108, 110. The network connection 118 may be a cable that includes twenty seven pins on each end that is referred to as a multiple unit cable, or MU cable. Alternatively, a different wire, cable, or bus, or other communication medium, may be used as the network connection 118. For example, the network connection 118 may represent an Electrically Controlled Pneumatic Brake line (ECPB), a fiber optic cable, or wireless connection—such as over a 5G telecommunication network. Similarly, the propulsion subsystems 156 of the powered units 148, 150 in the trailing consist 140 may be connected and communicatively coupled to each other by the network connection 118, such as a MU cable extending between the powered units 148, 150, or wireless connections.

The network connection 118 may include several channels over which network data is communicated. Each channel may represent a different pathway for the network data to be communicated. For example, different channels may be associated with different wires or busses of a multi-wire or multi-bus cable. Alternatively, the different channels may represent different frequencies or ranges of frequencies over which the network data is transmitted.

The powered units 108, 110 may include communication units 120, 126 configured to communicate information used in the control operations of various components and subsystems, such as the propulsion subsystems 116 of the powered units 108, 110. The communication unit 120 disposed in the lead powered unit 108 may be referred to as a lead communication unit. The lead communication unit 120 may be the unit that initiates the transmission of data packets forming a message to the off-board, remote controller interface 104. For example, the lead communication unit 120 may transmit a message via a WiFi or cellular modem to the off-board remote controller interface 104. The message may contain information on an operational state of the lead powered unit 108, such as a throttle setting, a brake setting, readiness for dynamic braking, the tripping of a circuit breaker on-board the lead powered unit, or other operational characteristics. Additional operational information associated with a locomotive such as an amount of wheel slippage, wheel temperatures, wheel bearing temperatures, brake temperatures, and dragging equipment detection may also be communicated from sensors on-board a locomotive or other train asset, or from various sensors located in wayside equipment or sleeper ties positioned at intervals along the train track. The communication units 126 may be disposed in different trailing powered units 110 and may be referred to as trailing communication units. Alternatively, one or more of the communication units 120, 126 may be disposed outside of the corresponding powered units 108, 110, such as in a nearby or adjacent non-powered unit 112. Another lead communication unit 160 may be disposed in the lead powered unit 148 of the trailing consist 140. The lead communication unit 160 of the trailing consist 140 may be a unit that receives data packets forming a message transmitted by the off-board, remote controller interface 104. For example, the lead communication unit 160 of the trailing consist 140 may receive a message from the off-board remote controller interface 104 providing operational commands that are based upon the information transmitted to the off-board remote controller interface 104 via the lead communication unit 120 of the lead powered unit 108 of the lead consist 114. A trailing communication unit 166 may be disposed in a trailing powered unit 150 of the trailing consist 140, and interconnected with the lead communication unit 160 via the network connection 118.

The communication units 120, 126 in the lead consist 114, and the communication units 160, 166 in the trailing consist 140 may be connected with the network connection 118 such that all of the communication units for each consist are communicatively coupled with each other by the network connection 118 and linked together in a computer network. Alternatively, the communication units may be linked by another wire, cable, or bus, or be linked by one or more wireless connections. The train control system according to various embodiments of this disclosure may be configured to enable rapid, reliable, and verifiable association of a lead locomotive in a consist in a train over a first wireless network with a wireless node located on one or more other locomotives of one or more consists in the train. The train control system may be configured to associate a mobile component carried by an operator with at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in a train. In addition or alternatively, the train control system may be configured to associate a separate, second wireless network communicatively coupled to the one or more locomotives in the one or more consists in the train with at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in the train. The wireless node located on each of the one or more locomotives in the one or more consists in the train and the at least one of the mobile component or the separate, second wireless network may be configured to communicate with each other wirelessly. The exchange of wireless command control signals and diagnostic information between the lead locomotive and other locomotives in a consist of a train requires a knowledge of which wireless nodes are associated with the consist and which are not. For obvious reasons, while the lead locomotive may command motion or other operational characteristics and diagnostic information to other locomotives in the consist, sending such commands and diagnostic information to a locomotive that is not in the consist may not result in a desired result. Existing methods of confirming the identity of locomotives that should be receiving and accepting wireless communications from a lead locomotive in the same train have typically involved operator actions within the cab of each locomotive in each consist of the train. These procedures involve an operator climbing up a ladder to access the cab on each locomotive, thus introducing risk of injury, and delay in completing the actions to associate all of the potential wireless nodes in each of the locomotives of a train.

The mobile component and/or the separate, second wireless network of a train control system according to various embodiments of this disclosure may be configured to transmit to each of the one or more locomotives in a train an identifier unique to the one or more consists in the train or unique to the first wireless network associated with the one or more consists. The mobile component may be further configured to transmit the unique identifier to each of the one or more locomotives automatically or upon an action of an operator when the operator brings the mobile component to within the threshold distance or less of each of the one or more locomotives. The threshold distance may be the shortest distance from the operator to the cab of each locomotive as the operator walks along the length of the train and reaches each point at which the operator has a clear line of sight to a respective cab such that the operator is verifiably associating each locomotive in the train with the first wireless network.

The train control system may be configured to limit communication of wireless control commands or diagnostic information from a lead locomotive of the one or more locomotives in a train such that the commands or diagnostic information may be communicated only to other locomotives of the one or more locomotives that have been verifiably identified as being associated with the lead locomotive by receipt of the unique identifier from the mobile component carried by the operator or from the separate, second wireless network.

The train control system may be configured such that the at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in the train comprises a Bluetooth device, an Infrared (IR) device, or a radio frequency identification (RFID) device. The mobile component may include a transceiver communicatively compatible with the at least one of a device, feature, or short range transceiver. The mobile component may also be a radio frequency identification (RFID) card. The mobile component may be configured to transmit the unique identifier to each of the one or more locomotives upon the operator moving the mobile component to within the threshold distance or less of each of the one or more locomotives. One of ordinary skill in the art will recognize that the threshold distance may be determined as a function of how close the operator actually needs to be to each locomotive in order to verifiably identify each locomotive as being part of the same consist and/or train as the lead locomotive from which commands and information are being wirelessly transmitted. Existing train inspection activities generally require an operator to walk the length of a consist in a train, or the length of multiple consists in the train to perform inspections. The mobile component according to various embodiments of this disclosure may be a portable transceiver of other wireless communication device, such as a cellular phone with a QR code scanner, which may be carried by an operator during the routine inspections of the consist or consists in order to scan in or transmit a unique identifier at each of the locomotives. In some exemplary embodiments, the mobile component may be configured to transmit the unique identifier to each of the one or more locomotives upon the operator scanning a bar code located on each of the one or more locomotives with the mobile component. Additionally, or alternatively, a bar code scanner could be located on one or more of the locomotives such that the bar codes scanner on a locomotive could scan a bar code displayed by the operator. The unique identifier may include at least one of a Wi-Fi secured password or an employee identification.

The networked communication units 120, 126, 160, 166 may include antenna modules 122. The antenna modules 122 may represent separate individual antenna modules or sets of antenna modules disposed at different locations along the train 102. For example, an antenna module 122 may represent a single wireless receiving device, such as a single 220 MHz TDMA antenna module, a single cellular modem, a single wireless local area network (WLAN) antenna module (such as a “Wi-Fi” antenna module capable of communicating using one or more of the IEEE 802.11 standards or another standard), a single WiMax (Worldwide Interoperability for Microwave Access) antenna module, a single satellite antenna module (or a device capable of wirelessly receiving a data message from an orbiting satellite), a single 3G antenna module, a single 4G antenna module, a single 5G antenna module, and the like. As another example, an antenna module 122 may represent a set or array of antenna modules, such as multiple antenna modules having one or more TDMA antenna modules, cellular modems, Wi-Fi antenna modules, WiMax antenna modules, satellite antenna modules, 3G antenna modules, 4G antenna modules, and/or 5G antenna modules.

As shown in FIG. 1, the antenna modules 122 may be disposed at spaced apart locations along the length of the train 102. For example, the single or sets of antenna modules represented by each antenna module 122 may be separated from each other along the length of the train 102 such that each single antenna module or antenna module set is disposed on a different powered or non-powered unit 108, 110, 112, 148, 150, 152 of the train 102. The antenna modules 122 may be configured to send data to and receive data from the off-board remote controller interface 104. For example, the off-board remote controller interface 104 may include an antenna module 124 that wireles sly communicates the network data from a remote location that is off of the track 106 to the train 102 via one or more of the antenna modules 122. Alternatively, the antenna modules 122 may be connectors or other components that engage a pathway over which network data is communicated, such as through an Ethernet connection.

The diverse antenna modules 122 enable the train 102 to receive the network data transmitted by the off-board remote controller interface 104 at multiple locations along the train 102. Increasing the number of locations where the network data can be received by the train 102 may increase the probability that all, or a substantial portion, of a message conveyed by the network data is received by the train 102. For example, if some antenna modules 122 are temporarily blocked or otherwise unable to receive the network data as the train 102 is moving relative to the off-board remote controller interface 104, other antenna modules 122 that are not blocked and are able to receive the network data may receive the network data. An antenna module 122 receiving data and command control signals from the off-board device 104 may in turn re-transmit that received data and signals to the appropriate lead communication unit 120 of the lead locomotive consist 114, or the lead communication unit 160 of the trailing locomotive consist 140. Any data packet of information received from the off-board remote controller interface 104 may include header information or other means of identifying which locomotive in which locomotive consist the information is intended for. Although the lead communication unit 120 on the lead consist may be the unit that initiates the transmission of data packets forming a message to the off-board, remote controller interface 104, all of the lead and trailing communication units may be configured to receive and transmit data packets forming messages. Accordingly, in various alternative implementations according to this disclosure, a command control signal providing operational commands for the lead and trailing locomotives may originate at the remote controller interface 104 rather than at the lead powered unit 108 of the lead consist 114.

Each locomotive or powered unit of the train 102 may include a car body supported at opposing ends by a plurality of trucks. Each truck may be configured to engage the track 106 via a plurality of wheels, and to support a frame of the car body. One or more traction motors may be associated with one or all wheels of a particular truck, and any number of engines and generators may be mounted to the frame within the car body to make up the propulsion subsystems 116, 156 on each of the powered units. The propulsion subsystems 116, 156 of each of the powered units may be further interconnected throughout the train 102 along one or more high voltage power cables in a power sharing arrangement. Energy storage devices (not shown) may also be included for short term or long term storage of energy generated by the propulsion subsystems or by the traction motors when the traction motors are operated in a dynamic braking or generating mode. Energy storage devices may include batteries, ultra-capacitors, flywheels, fluid accumulators, and other energy storage devices with capabilities to store large amounts of energy rapidly for short periods of time, or more slowly for longer periods of time, depending on the needs at any particular time. The DC or AC power provided from the propulsion subsystems 116, 156 or energy storage devices along the power cable may drive AC or DC traction motors to propel the wheels. Each of the traction motors may also be operated in a dynamic braking mode as a generator of electric power that may be provided back to the power cables and/or energy storage devices. Control over engine operation (e.g., starting, stopping, fueling, exhaust aftertreatment, etc.) and traction motor operation, as well as other locomotive controls, may be provided by way of an on-board controller 200 and various operational control devices housed within a cab supported by the frame of the train 102. In some implementations of this disclosure, initiation of these controls may be implemented in the cab of the lead powered unit 108 in the lead consist 114 of the train 102. In other alternative implementations, initiation of operational controls may be implemented off-board at the remote controller interface 104, or at a powered unit of a trailing consist. As discussed above, the various computer control systems involved in the operation of the train 102 may be distributed across a number of local and/or remote physical locations and communicatively coupled over one or more wireless or wired communication networks.

As shown in FIG. 2, an exemplary implementation of the control system 100 may include the on-board controller 200. The on-board controller 200 may include an energy management system 232 configured to determine, e.g., one or more of throttle requests, dynamic braking requests, and pneumatic braking requests 234 for one or more of the powered and non-powered units of the train. The energy management system 232 may be configured to make these various requests based on a variety of measured operational parameters, track grade, track conditions, freight loads, trip plans, and predetermined maps or other stored data with one or more goals of improving availability, safety, timeliness, overall fuel economy and emissions output for individual powered units, consists, or the entire train. The cab of the lead powered unit 108, 148 in each of the consists may also house a plurality of operational control devices and control system interfaces. The operational control devices may be used by an operator to manually control the locomotive, or may be controlled electronically via messages received from off-board the train. Operational control devices may include, among other things, an engine run/isolation switch, a generator field switch, an automatic brake handle, an independent brake handle, a lockout device, and any number of circuit breakers. Manual input devices may include switches, levers, pedals, wheels, knobs, push-pull devices, touch screen displays, etc.

Operation of the engines, generators, inverters, converters, and other auxiliary devices may be at least partially controlled by switches or other operational control devices that may be manually movable between a run or activated state and an isolation or deactivated state by an operator of the train 102. The operational control devices may be additionally or alternatively activated and deactivated by solenoid actuators or other electrical, electromechanical, or electro-hydraulic devices. The off-board remote controller interface 104, 204 may also require compliance with security protocols to ensure that only designated personnel may remotely activate or deactivate components on-board the train from the off-board remote controller interface after certain prerequisite conditions have been met. The off-board remote controller interface may include various security algorithms or other means of comparing an operator authorization input with a predefined security authorization parameter or level. The security algorithms may also establish restrictions or limitations on controls that may be performed based on the location of a locomotive, authorization of an operator, and other parameters.

Circuit breakers may be associated with particular components or subsystems of a locomotive on the train 102, and configured to trip when operating parameters associated with the components or subsystems deviate from expected or predetermined ranges. For example, circuit breakers may be associated with power directed to individual traction motors, HVAC components, and lighting or other electrical components, circuits, or subsystems. When a power draw greater than an expected draw occurs, the associated circuit breaker may trip, or switch from a first state to a second state, to interrupt the corresponding circuit. In some implementations of this disclosure, a circuit breaker may be associated with an on-board control system or communication unit that controls wireless communication with the off-board remote controller interface. After a particular circuit breaker trips, the associated component or subsystem may be disconnected from the main electrical circuit of the locomotive 102 and remain nonfunctional until the corresponding breaker is reset. The circuit breakers may be manually tripped or reset. Alternatively or in addition, the circuit breakers may include actuators or other control devices that can be selectively energized to autonomously or remotely switch the state of the associated circuit breakers in response to a corresponding command received from the off-board remote controller interface 104, 204. In some embodiments, a maintenance signal may be transmitted to the off-board remote controller interface 104, 204 upon switching of a circuit breaker from a first state to a second state, thereby indicating that action such as a reset of the circuit breaker may be needed.

In some situations, train 102 may travel through several different geographic regions or geo-fences and encounter different operating conditions in each region or geo-fence. For example, different regions may be associated with varying track conditions, steeper or flatter grades, speed restrictions, noise restrictions, and/or other such conditions. Some operating conditions in a given geographic region may also change over time as, for example, track rails wear and speed and/or noise restrictions are implemented or changed. Other circumstantial and contextual conditions, such as distances between sidings, distances from rail yards, limitations on access to maintenance resources, and other such considerations may vary throughout the course of mission. Operators may therefore wish to implement certain control parameters in certain geographic regions to address particular operating conditions.

To help operators implement desired control strategies based on the geographic location of the train 102, the on-board controller 200 may be configured to include a graphical user interface (GUI) that allows operators and/or other users to establish and define the parameters of geo-fences along a travel route. A geo-fence is a virtual barrier that may be set up in a software program and used in conjunction with global positioning systems (GPS) or radio frequency identification (RFID) to define geographical boundaries. As an example, a geo-fence may be defined along a length of track that has a grade greater than a certain threshold. A first geo-fence may define a no-stop zone, where the track grade is so steep that a train will not be able to traverse the length of track encompassed by the first geo-fence if allowed to stop. A second geo-fence may define an unfavorable-stop zone, where the grade is steep enough that a train stopping in the unfavorable-stop zone may be able to traverse the second geo-fence after a stop, but will miss a trip objective such as arriving at a destination by a certain time. A third geo-fence may define a favorable-stop zone, where the grade of the track is small enough that the train will be able to come to a complete stop within the favorable-stop zone for reasons such as repair or adjustment of various components or subsystems, and then resume travel and traverse the third geo-fence while meeting all trip objectives.

The remote controller interface 104 may include a GUI configured to display information and receive user inputs associated with the train. The GUI may be a graphic display tool including menus (e.g., drop-down menus), modules, buttons, soft keys, toolbars, text boxes, field boxes, windows, and other means to facilitate the conveyance and transfer of information between a user and remote controller interface 104, 204. Access to the GUI may require user authentication, such as, for example, a username, a password, a pin number, an electromagnetic passkey, etc., to display certain information and/or functionalities of the GUI.

The energy management system 232 of the controller 200 on-board a lead locomotive 208 may be configured to automatically determine one or more of throttle requests, dynamic braking requests, and pneumatic braking requests 234 for one or more of the powered and non-powered units of the train. The energy management system 232 may be configured to make these various requests based on a variety of measured operational parameters, track conditions, freight loads, trip plans, and predetermined maps or other stored data with a goal of improving one or more of availability, safety, timeliness, overall fuel economy and emissions output for individual locomotives, consists, or the entire train. Some of the measured operational parameters such as track grade or other track conditions may be associated with one or more predetermined geo-fences. The cab of the lead locomotive 208 in each of the consists 114, 140 along the train 102 may also house a plurality of input devices, operational control devices, and control system interfaces. The input devices may be used by an operator to manually control the locomotive, or the operational control devices may be controlled electronically via messages received from off-board the train. The input devices and operational control devices may include, among other things, an engine run/isolation switch, a generator field switch, an automatic brake handle (for the entire train and locomotives), an independent brake handle (for the locomotive only), a lockout device, and any number of circuit breakers. Manual input devices may include switches, levers, pedals, wheels, knobs, push-pull devices, and touch screen displays. The controller 200 may also include a microprocessor-based locomotive control system 237 having at least one programmable logic controller (PLC), a cab electronics system 238, and an electronic air (pneumatic) brake system 236, all mounted within a cab of the locomotive. The cab electronics system 238 may comprise at least one integrated display computer configured to receive and display data from the outputs of one or more of machine gauges, indicators, sensors, and controls. The cab electronics system 238 may be configured to process and integrate the received data, receive command signals from the off-board remote controller interface 204, and communicate commands such as throttle, dynamic braking, and pneumatic braking commands 233 to the microprocessor-based locomotive control system 237.

The microprocessor-based locomotive control system 237 may be communicatively coupled with the traction motors, engines, generators, braking subsystems, input devices, actuators, circuit breakers, and other devices and hardware used to control operation of various components and subsystems on the locomotive. In various alternative implementations of this disclosure, some operating commands, such as throttle and dynamic braking commands, may be communicated from the cab electronics system 238 to the locomotive control system 237, and other operating commands, such as braking commands, may be communicated from the cab electronics system 238 to a separate electronic air brake system 236. One of ordinary skill in the art will recognize that the various functions performed by the locomotive control system 237 and electronic air brake system 236 may be performed by one or more processing modules or controllers through the use of hardware, software, firmware, or various combinations thereof. Examples of the types of controls that may be performed by the locomotive control system 237 may include radar-based wheel slip control for improved adhesion, automatic engine start stop (AESS) for improved fuel economy, control of the lengths of time at which traction motors are operated at temperatures above a predetermined threshold, control of generators/alternators, control of inverters/converters, the amount of exhaust gas recirculation (EGR) and other exhaust aftertreatment processes performed based on detected levels of certain pollutants, and other controls performed to improve safety, increase overall fuel economy, reduce overall emission levels, and increase longevity and availability of the locomotives. The at least one PLC of the locomotive control system 237 may also be configurable to selectively set predetermined ranges or thresholds for monitoring operating parameters of various subsystems. When a component detects that an operating parameter has deviated from the predetermined range, or has crossed a predetermined threshold, a maintenance signal may be communicated off-board to the remote controller interface 204. The at least one PLC of the locomotive control system 237 may also be configurable to receive one or more command signals indicative of at least one of a throttle command, a dynamic braking readiness command, and an air brake command 233, and output one or more corresponding command control signals configured to at least one of change a throttle position, activate or deactivate dynamic braking, and apply or release a pneumatic brake, respectively.

The cab electronics system 238 may provide integrated computer processing and display capabilities on-board the train 102, and may be communicatively coupled with a plurality of cab gauges, indicators, and sensors, as well as being configured to receive commands from the remote controller interface 204. The cab electronics system 238 may be configured to process outputs from one or more of the gauges, indicators, and sensors, and supply commands to the locomotive control system 237. In various implementations, the remote controller interface 204 may comprise a distributed system of servers, on-board and/or off-board the train, or a single laptop, hand-held device, or other computing device or server with software, encryption capabilities, and Internet access for communicating with the on-board controller 200 of the lead locomotive 208 of a lead consist and the lead locomotive 248 of a trailing consist. Control command signals generated by the cab electronics system 238 on the lead locomotive 208 of the lead consist may be communicated to the locomotive control system 237 of the lead locomotive of the lead consist, and may be communicated in parallel via a WiFi/cellular modem 250 off-board to the remote controller interface 204. The lead communication unit 120 on-board the lead locomotive of the lead consist may include the WiFi/cellular modem 250 and any other communication equipment required to modulate and transmit the command signals off-board the locomotive and receive command signals on-board the locomotive. As shown in FIG. 2, the remote controller interface 204 may relay commands received from the lead locomotive 208 via another WiFi/cellular modem 250 to another cab electronics system 238 on-board the lead locomotive 248 of the trailing consist. As discussed above, wireless communication of control commands and/or diagnostic information from a lead locomotive to other locomotives of a consist or other consists in a train may be limited such that the wireless communication may only occur over a first wireless network with wireless nodes on locomotives that have been verifiably associated with the lead locomotive by receipt of a unique identifier from either a mobile component carried by an operator during train inspections, or from a separate, second wireless network.

The control systems and interfaces on-board and off-board the train may embody single or multiple microprocessors, field programmable gate arrays (FPGAs), digital signal processors (DSPs), programmable logic controllers (PLCs), etc., that include means for controlling operations of the train 102 in response to operator requests, built-in constraints, sensed operational parameters, and/or communicated instructions from the remote controller interface 104, 204. Numerous commercially available microprocessors can be configured to perform the functions of these components. Various known circuits may be associated with these components, including power supply circuitry, signal-conditioning circuitry, actuator driver circuitry (i.e., circuitry powering solenoids, motors, or piezo actuators), and communication circuitry.

The locomotives 208, 248 may be outfitted with any number and type of sensors known in the art for generating signals indicative of associated control configurations, structural parameters, or operating parameters. In one example, a locomotive 208, 248 may include a temperature sensor configured to generate a signal indicative of a coolant temperature of an engine on-board the locomotive. Additionally or alternatively, sensors may include brake temperature sensors, exhaust sensors, fuel level sensors, pressure sensors, structural stress sensors, knock sensors, reductant level or temperature sensors, speed sensors, motion detection sensors, location sensors, or any other sensor known in the art. The signals generated by the sensors may be directed to the cab electronics system 238 for further processing and generation of appropriate commands.

Any number and type of warning devices may also be located on-board each locomotive, including an audible warning device and/or a visual warning device. Warning devices may be used to alert an operator on-board a locomotive of an impending operation, for example startup of the engine(s). Warning devices may be triggered manually from on-board the locomotive (e.g., in response to movement of a component or operational control device to the run state) and/or remotely from off-board the locomotive (e.g., in response to control command signals received from the remote controller interface 204.) When triggered from off-board the locomotive, a corresponding command signal used to initiate operation of the warning device may be communicated to the on-board controller 200 and the cab electronics system 238.

The on-board controller 200 and the off-board remote controller interface 204 may include any means for monitoring, recording, storing, indexing, processing, and/or communicating various operational aspects of the locomotive 208, 248. These means may include components such as, for example, a memory, one or more data storage devices, a central processing unit, or any other components that may be used to run an application. Furthermore, although aspects of the present disclosure may be described generally as being stored in memory, one skilled in the art will appreciate that these aspects can be stored on or read from different types of computer program products or non-transitory computer-readable media such as computer chips and secondary storage devices, including hard disks, floppy disks, optical media, CD-ROM, or other forms of RAM or ROM.

The off-board remote controller interface 204 may be configured to execute instructions stored on non-transitory computer readable medium to perform methods of remote control of the locomotive 230. That is, as will be described in more detail in the following section, on-board control (manual and/or autonomous control) of some operations of the locomotive (e.g., operations of traction motors, engine(s), circuit breakers, etc.) may be selectively overridden by the off-board remote controller interface 204.

Remote control of the various powered and non-powered units on the train 102 through communication between the on-board cab electronics system 238 and the off-board remote controller interface 204 may be facilitated via the various communication units 120, 126, 160, 166 spaced along the train 102. The communication units may include hardware and/or software that enables sending and receiving of data messages between the powered units of the train and the off-board remote controller interfaces. The data messages may be sent and received via a direct data link and/or a wireless communication link, as desired. The direct data link may include an Ethernet connection, a connected area network (CAN), or another data link known in the art. The wireless communications may include satellite, cellular, infrared, and any other type of wireless communications that enable the communication units to exchange information between the off-board remote controller interfaces and the various components and subsystems of the train 102.

As shown in the exemplary embodiment of FIG. 2, the cab electronics system 238 may be configured to receive the requests 234 after they have been processed by a locomotive interface gateway (LIG) 235, which may also enable modulation and communication of the requests through a WiFi/cellular modem 250 to the off-board remote controller interface (back office) 204. The cab electronics system 238 may be configured to communicate commands (e.g., throttle, dynamic braking, and braking commands 233) to the locomotive control system 237 and an electronic air brake system 236 on-board the lead locomotive 208 in order to autonomously control the movements and/or operations of the lead locomotive.

In parallel with communicating commands to the locomotive control system 237 of the lead locomotive 208, the cab electronics system 238 on-board the lead locomotive 208 of the lead consist may also communicate commands to the off-board remote controller interface 204. The commands may be communicated either directly or through the locomotive interface gateway 235, via the WiFi/cellular modem 250, off-board the lead locomotive 208 of the lead consist to the remote controller interface 204. The remote controller interface 204 may then communicate the commands received from the lead locomotive 208 to the trailing consist lead locomotive 248. The commands may be received at the trailing consist lead locomotive 248 via another WiFi/cellular modem 250, and communicated either directly or through another locomotive interface gateway 235 to a cab electronics system 238. The cab electronics system 238 on-board the trailing consist lead locomotive 248 may be configured to communicate the commands received from the lead locomotive 208 of the lead consist to a locomotive control system 237 and an electronic air brake system 236 on-board the trailing consist lead locomotive 248. The commands from the lead locomotive 208 of the lead consist may also be communicated via the network connection 118 from the trailing consist lead locomotive 248 to one or more trailing powered units 150 of the trailing consist 140. The result of configuring all of the lead powered units of the lead and trailing consists to communicate via the off-board remote controller interface 204 is that the lead powered unit of each trailing consist may respond quickly and in close coordination with commands responded to by the lead powered unit of the lead consist. Additionally, each of the powered units in various consists along a long train may quickly and reliably receive commands such as throttle, dynamic braking, and pneumatic braking commands 234 initiated by a lead locomotive in a lead consist regardless of location and conditions.

The integrated cab electronics systems 238 on the powered units of the lead consist 114 and on the powered units of the trailing consist 140 may also be configured to receive and generate commands for configuring or reconfiguring various switches, handles, and other operational control devices on-board each of the powered units of the train as required before the train begins on a journey, or after a failure occurs that requires reconfiguring of all or some of the powered units. Examples of switches and handles that may require configuring or reconfiguring before a journey or after a failure may include an engine run switch, a generator field switch, an automatic brake handle, and an independent brake handle. Remotely controlled actuators on-board the powered units in association with each of the switches and handles may enable remote, autonomous configuring and reconfiguring of each of the devices. For example, before the train begins a journey, or after a critical failure has occurred on one of the lead or trailing powered units, commands may be sent from the off-board remote controller interface 204 to any powered unit in order to automatically reconfigure all of the switches and handles as required on-board each powered unit without requiring an operator to be on-board the train. Following the reconfiguring of all of the various switches and handles on-board each locomotive, the remote controller interface may also send messages to the cab electronics systems on-board each locomotive appropriate for generating other operational commands such as changing throttle settings, activating or deactivating dynamic braking, and applying or releasing pneumatic brakes. This capability saves the time and expense of having to delay the train while sending an operator to each of the powered units on the train to physically switch and reconfigure all of the devices required.

FIG. 3 is an illustration of a system according to an exemplary embodiment of this disclosure for utilizing real-time data for predictive analysis of the performance of a monitored computer system, such as train control system 100 shown in FIG. 1. The system 300 may include a series of sensors (i.e., Sensor A 304, Sensor B 306, Sensor C 308) interfaced with the various components of a monitored system 302, a data acquisition hub 312, an analytics server 316, and a client device 328. The monitored system 302 may include one or more of the train control systems illustrated in FIG. 2, such as an energy management system, a cab electronics system, and a locomotive control system. It should be understood that the monitored system 302 can be any combination of components whose operations can be monitored with sensors and where each component interacts with or is related to at least one other component within the combination. For a monitored system 302 that is a train control system, the sensors may include brake temperature sensors, exhaust sensors, fuel level sensors, pressure sensors, knock sensors, structural stress sensors, reductant level or temperature sensors, generator power output sensors, voltage or current sensors, speed sensors, motion detection sensors, location sensors, wheel temperature or bearing temperature sensors, or any other sensor known in the art for monitoring various train control configurations, structural parameters, and operational parameters.

The sensors are configured to provide output values for system parameters that indicate the operational status and/or “health” of the monitored system 302. The sensors may include sensors for monitoring the operational status and/or health of the various physical systems associated with operation of a train, as well as the operational status of the various computer systems and subsystems associated with operation of the train. The sensors may also be configured to measure additional data that can affect system operation. For example, sensor output can include environmental information, e.g., temperature, humidity, etc., which can impact the operation and efficiency of the various train control systems.

In one exemplary embodiment, the various sensors 304, 306, 308 may be configured to output data in an analog format. For example, electrical power sensor measurements (e.g., voltage, current, etc.) are sometimes conveyed in an analog format as the measurements may be continuous in both time and amplitude. In another embodiment, the sensors may be configured to output data in a digital format. For example, the same electrical power sensor measurements may be taken in discrete time increments that are not continuous in time or amplitude. In still another embodiment, the sensors may be configured to output data in either an analog or digital format depending on the sampling requirements of the monitored system 302.

The sensors can be configured to capture output data at split-second intervals to effectuate “real time” data capture. For example, in one embodiment, the sensors can be configured to generate hundreds of thousands of data readings per second. It should be appreciated, however, that the number of data output readings taken by a sensor may be set to any value as long as the operational limits of the sensor and the data processing capabilities of the data acquisition hub 312 are not exceeded.

Each sensor may be communicatively connected to the data acquisition hub 312 via an analog or digital data connection 310. The data acquisition hub 312 may be a standalone unit or integrated within the analytics server 316 and can be embodied as a piece of hardware, software, or some combination thereof. In one embodiment, the data connection 310 is a “hard wired” physical data connection (e.g., serial, network, etc.). For example, a serial or parallel cable connection between the sensor and the hub 312. In another embodiment, the data connection 310 is a wireless data connection. For example, a 5G radio frequency (RF) cellular connection, BLUETOOTH™, infrared or equivalent connection between the sensor and the hub 312.

The data acquisition hub 312 may be configured to communicate “real-time” data from the monitored system 302 to the analytics server 316 using a network connection 314. In one embodiment, the network connection 314 is a “hardwired” physical connection. For example, the data acquisition hub 312 may be communicatively connected (via Category 5 (CAT5), fiber optic or equivalent cabling) to a data server (not shown) that is communicatively connected (via CAT5, fiber optic or equivalent cabling) through the Internet and to the analytics server 316 server, the analytics server 316 being also communicatively connected with the Internet (via CAT5, fiber optic, or equivalent cabling). In another embodiment, the network connection 314 is a wireless network connection (e.g., 5G cellular, Wi-Fi, WLAN, etc.). For example, utilizing an 802.11a/b/g or equivalent transmission format. In practice, the network connection utilized is dependent upon the particular requirements of the monitored system 302. Data acquisition hub 312 may also be configured to supply warning and alarms signals as well as control signals to monitored system 302 and/or sensors 304, 306, and 308 as described in more detail below.

As shown in FIG. 3, in one embodiment, the analytics server 316 may host an analytics engine 318, a virtual system modeling engine 324, a calibration engine 334, and several databases 326, 330, and 332. Additional engines or processing modules may also be included in analytics server 316, such as an operator behavior modeling engine, a simulation engine, and other machine learning or artificial intelligence engines or processing modules. The virtual system modeling engine 324 can be, e.g., a computer modeling system. In this context, the modeling engine can be used to precisely model and mirror the actual train control systems and subsystems. Analytics engine 318 can be configured to generate predicted data for the monitored systems and analyze differences between the predicted data and the real-time data received from data acquisition hub 312. Analytics server 316 may be interfaced with a monitored train control system 302 via sensors, e.g., sensors 304, 306, and 308. The various sensors are configured to supply real-time data from the various physical components and computer systems and subsystems of train 102. The real-time data is communicated to analytics server 316 via data acquisition hub 312 and network 314.

Data acquisition hub 312 can be configured to provide real-time data to analytics server 316 as well as alarming, sensing and control features for the monitored system 302, such as the train control system 100. In some implementations according to this disclosure, the results of periodic non-destructive evaluations (NDE) of various train components such as the knuckles interconnecting powered and non-powered rail cars of the train may be combined with other real-time and historical data from data acquisition hub 312 by a simulation engine of analytics server 316 for predicting when a potential failure of the component may occur. Computer vision algorithms may be employed, for example, in evaluating images taken of a knuckle during NDE, and analyzing life expectancy of the knuckle before a predicted failure. Other forms of NDE such as gamma imaging, infrared imaging, and ultrasonic testing may also be employed on components such as knuckles, brake rigging, brake shoes, axles, wheel sets, and any other structural components subjected to stresses during operation of the train. The simulation engine and machine learning algorithms may be configured and programmed to predict expected forces that will act on the component following the NDE, and predict the time or amount of usage until an expected failure. The results of such predictive failure analysis may enable implementation of optimal repair and replacement protocols, such as by scheduling replacement of a knuckle with a predicted failure that falls within a predetermined threshold time period at a convenient repair location such as a train yard.

The real-time data from data acquisition hub 312 can be passed to a comparison engine, which can be separate from or form part of analytics engine 318. The comparison engine can be configured to continuously compare the real-time data with predicted values generated by virtual system modeling engine 324 or another simulation engine included as part of analytics server 316. Based on the comparison, the comparison engine can be further configured to determine whether deviations between the real-time values and the predicted values exist, and if so to classify the deviation, e.g., high, marginal, low, etc. The deviation level can then be communicated to a decision engine, which can also be included as part of analytics engine 318 or as a separate processing module. The decision engine can be configured to look for significant deviations between the predicted values and real-time values as received from the comparison engine. If significant deviations are detected, the decision engine can also be configured to determine whether an alarm condition exists, activate the alarm and communicate the alarm to a Human-Machine Interface (HMI) for display in real-time via, e.g., client 328. The decision engine of analytics engine 318 can also be configured to perform root cause analysis for significant deviations in order to determine the interdependencies and identify any failure relationships that may be occurring. The decision engine can also be configured to determine health and performance levels and indicate these levels for the various processes and equipment via the HMI of client 328. All of which, when combined with the analytical and machine learning capabilities of analytics engine 318 allows the operator to minimize the risk of catastrophic equipment failure by predicting future failures and providing prompt, informative information concerning potential/predicted failures before they occur. Avoiding catastrophic failures reduces risk and cost, and maximizes facility performance and up time.

INDUSTRIAL APPLICABILITY

The train control system and methods of the present disclosure may be applicable to any grouping of vehicles such as locomotives in consists of a train where remote access to particular functions of the machines may be desirable, and where control commands and diagnostic information are exchanged between a lead locomotive and other locomotives of one or more consists of a train. System processing associated with such groupings of vehicles or other machines may be highly distributed as a result of recent advances and cost improvements in sensing technology and communication of large amounts of operational and configuration data acquired from sensors associated with the vehicles or other machines. Communication networks such as 5G mobile networks allow for increased bandwidths, increased throughput, and faster data speeds than many existing telecommunication technologies, thereby enabling the interconnection of large numbers of devices on mobile platforms such as vehicles, and the transmission of data from those interconnected devices at much faster speeds and with much more accuracy than currently available. These improvements in data transmission capabilities allow for the remote distribution of the various computer control systems and subsystems that were traditionally restricted to being physically located on the controlled devices, such as locomotives or other vehicles.

The train control system of the present disclosure enables a method of rapidly, reliably and verifiably associating locomotives in a train with a lead locomotive of the train. The method may include carrying a mobile component to within a threshold distance or less from at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in the train. The mobile component may wirelessly communicate with the at least one of a device, feature, or short range transceiver located on each of the one or more locomotives in the one or more consists in the train. The wireless communication between the mobile component and the at least one of a device, feature, or short range transceiver may be performed automatically, or upon an action taken by an operator carrying the mobile component, for example, during a routine inspection of one or more consists of the train.

The at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in the train may include various forms of transceivers such as a Bluetooth device, an Infrared (IR) device, and a radio frequency identification (RFID) device. The mobile component may include a portable device carried by an operator, including, but not limited to a cellular phone that may act as a transceiver communicatively compatible with the at least one of a device, feature, or short range transceiver on each of the locomotives. In some embodiments, the mobile component may include a radio frequency identification (RFID) card. The mobile component transmits a unique identifier to each of the one or more locomotives upon the operator moving the mobile component to within the threshold distance or less of each of the one or more locomotives. In some implementations, the mobile component may transmit the unique identifier to each of the one or more locomotives upon the operator scanning a bar code located on each of the one or more locomotives with the mobile component. The unique identifier may include at least one of a Wi-Fi secured password or an employee identification.

The wireless communication between the mobile component and the at least one of a device, feature, or short range transceiver in each cab of each of the locomotives in one or more consists may include transmitting an identifier unique to the one or more consists in the train or unique to a wireless network associated with the one or more consists from the mobile component to each of the one or more locomotives, wherein the mobile component transmits the unique identifier to each of the one or more locomotives automatically or upon an action of an operator when the operator brings the mobile component to within the threshold distance or less of each of the one or more locomotives. For example, the operator may scan a barcode that is in reach from the ground at each locomotive as a routine inspection of the train is being performed. Alternatively, the operator may simply activate a transmission of the unique identifier to each wireless node on each locomotive upon approaching the locomotive in close enough proximity in order to ensure that only the locomotives of the consist in the same train as the lead locomotive receive a transmission activated by the operator and including the unique identifier associated with the one or more consists of the train or associated with a wireless network over which the one or more consists communicate.

In exemplary implementations of the train control system according to this disclosure, communication of wireless control commands or diagnostic information from the lead locomotive of the one or more locomotives is limited such that the commands or diagnostic information may be communicated only to other locomotives of the one or more locomotives that have been verifiably identified as being associated with the lead locomotive by receipt of the unique identifier from at least one of the mobile component carried by the operator, or from a separate, second wireless network, such as over a cellular data connection or a positive train control (PTC) radio network. In some implementations the mobile component may receive the unique identifier from another system such as a train dispatch system, which generates the unique identifier to be associated with the locomotives in one or more consists of the train, or with a wireless network over which the locomotives in the one or more consists of the train communicate.

Distributed, remote access to the computerized systems associated with the vehicles in a train, such as control systems and computer systems monitoring the various functions performed by the control systems, enhances operational aspects such as automatic train operation (ATO) when human operators are not present or available at the locomotives, monitoring and maintenance of train equipment, and collection of data provided by various sensors and other devices during operation of the locomotives, which can be used to optimize performance, efficiency, safety, and life expectancy of the equipment. The increased amount of communication of data over wireless networks may also increase the need for systems and methods to predict or monitor for any transient latency issues in the exchange of data between various remotely distributed computer systems, and maintain synchronization of the distributed systems. Implementation of the above-discussed train control system with rapid, reliable, and verifiable association of a lead locomotive over a wireless network with other locomotives of one or more consists of a train ensures that control commands and diagnostic data are only transmitted to locomotives intended to receive the information. The system also enables the prediction, early identification, and mitigation of any latency issues during the exchange of data between the various computerized systems and subsystems.

Associative memory is built through “experiential” learning in which each newly observed state is accumulated in the associative memory as a basis for interpreting future events. The machine learning algorithms performed by analytics engine 318 assist in uncovering the patterns and sequencing of train control procedures under a large variety of operating conditions to help pinpoint the location and cause of any actual or impending failures of physical systems or computer control systems. As discussed above, train control systems that include a machine learning engine may also be configured to encode real human engineer behavior into a train control strategy engine that enables less experienced train engineers, or semi-autonomously or fully autonomously operated trains to perform optimized train handling across different terrains, with different trains, and under different operating conditions. This approach also allows for easy scalability, extensibility, or customization of train control procedures for different types of trains, different sizes of trains, different loads being carried by the trains, different weather conditions, different emissions and safety standards depending on geographical location, and different overall train operating goals.

During normal operation, a human operator may be located on-board the lead locomotive 208 and within the cab of the locomotive. The human operator may be able to control when an engine or other subsystem of the train is started or shut down, which traction motors are used to propel the locomotive, what switches, handles, and other input devices are reconfigured, and when and what circuit breakers are reset or tripped. The human operator may also be required to monitor multiple gauges, indicators, sensors, and alerts while making determinations on what controls should be initiated. However, there may be times when the operator is not available to perform these functions, when the operator is not on-board the locomotive 208, and/or when the operator is not sufficiently trained or alert to perform these functions. In addition, the distributed control systems according to this disclosure facilitate remote access to and availability of the locomotives in a train for authorized third parties, including providing redundancy and reliability of monitoring and control of the locomotives and subsystems on-board the locomotives.

A method of controlling locomotives in lead and trailing consists of a train in accordance with various aspects of this disclosure may include, for example, receiving an automatic or manually generated configuration failure signal at the off-board remote controller interface 204. The configuration failure signal may be indicative of a situation at one or more of the locomotives in the train requiring configuration or reconfiguration of various operational control devices on-board the one or more locomotives. Dispatch personnel may then initiate the transmission of a configuration command signal from a remote client 328, to the analytics engine 318 of the analytics server 316, to the remote controller interface 204, and to the one or more locomotives requiring reconfiguration. In this way, all of the locomotives in the lead and trailing consists of the train may be reconfigured in parallel without requiring an operator on-board the train. The configuration commands signals, like other messages communicated from the remote controller interface 204, may also be transmitted only to a lead locomotive in a consist, and then communicated over a wired connection such as the network connection 118 to one or more trailing locomotives in the consist, or over a wireless network that has been verifiably associated with the lead locomotive and the wireless nodes on all of the trailing locomotives of the one or more consists in the same train. As discussed above, on-board controls of the locomotives in the train may also include the energy management system 232 providing one or more of throttle, dynamic braking, or braking requests 234 to the cab electronics system 238. The cab electronics system 238 may process and integrate these requests along with other outputs from various gauges and sensors, and commands such as the configuration command that may have been received from the off-board remote controller interface 204. The cab electronics system 238 may then communicate commands to the on-board locomotive control system 237. In parallel with these on-board communications, the cab electronics system 238 may communicate commands via a WiFi/cellular modem 250 back to the off-board remote controller interface 204. In various alternative implementations, the analytics server 316 and off-board remote controller interface 204 may further process the commands received from the lead locomotive 208 of the lead consist or from a back office command center in order to modify the commands or otherwise interpret the commands before transmitting commands to the locomotives. Modification of the commands may be based on additional information the remote controller interface has acquired from data acquisition hub 312 and one or more sensors located on the locomotives, or other stored data. The commands transmitted from the remote controller interface 204 by dispatch personnel may be received from the remote controller interface in parallel at each of the locomotives of multiple trailing consists.

In addition to throttle, dynamic braking, and braking commands, the remote controller interface 204 may also communicate other commands to the cab electronics systems of the on-board controllers on one or more locomotives in multiple consists. These commands may include switching a component such as a circuit breaker on-board a locomotive from a first state, in which the circuit breaker has not tripped, to a second state, in which the circuit breaker has tripped. The circuit breaker may be tripped in response to detection that an operating parameter of at least one component or subsystem of the locomotive has deviated from a predetermined range. When such a deviation occurs, a maintenance signal may be transmitted from the locomotive to the off-board remote controller interface 204. The maintenance signal may be indicative of a subsystem having deviated from the predetermined range as indicated by a circuit breaker having switched from a first state to a second state. The method may further include selectively receiving a command signal from the remote controller interface 204 at a control device on-board the locomotive, with the command signal causing the control device to autonomously switch the component from the second state back to the first state. In the case of a tripped circuit breaker, the command may result in resetting the circuit breaker.

The method of remotely controlling the locomotives in various consists of a train may also include configuring one or more programmable logic controllers (PLC) of microprocessor-based locomotive control systems 237 on-board one or more locomotives to selectively set predetermined ranges for operating parameters associated with various components or subsystems. In one exemplary implementation, a locomotive control system 237 may determine that a circuit of a particular subsystem of the associated locomotive is operating properly when the current flowing through the circuit falls within a particular range. A circuit breaker may be associated with the circuit and configured to trip when the current flowing through the circuit deviates from the determined range. In another exemplary implementation, the locomotive control system may determine that a particular flow rate of exhaust gas recirculation (EGR), or flow rate of a reductant used in exhaust gas aftertreatment, is required in order to meet particular fuel economy and/or emission levels. A valve and/or pump regulating the flow rate of exhaust gas recirculation and/or reductant may be controlled by the locomotive control system when a level of a particular pollutant deviates from a predetermined range. The predetermined ranges for various operating parameters may vary from one locomotive to another based on specific characteristics associated with each locomotive, including age, model, location, weather conditions, type of propulsion system, fuel efficiency, type of fuel, and the like.

A method of controlling locomotives in lead and trailing consists of a train in accordance with various aspects of this disclosure may include transmitting an operating control command from a lead locomotive in a lead consist of a train off-board to a remote controller interface. The remote controller interface may then relay that operating control command to one or more lead locomotives of one or more trailing consists of the train. In this way, the one or more trailing consists of the train may all respond reliably and in parallel with the same control commands that are being implemented on-board the lead locomotive of the lead consist. As discussed above, on-board controls of the lead locomotive of the lead consist in the train may include the energy management system or human operator 232 providing one or more of throttle, dynamic braking, or braking requests 234 to the cab electronics system 238. The cab electronics system 238 may process and integrate these requests along with other outputs from various gauges and sensors, and commands that may have been received from the off-board remote controller interface 204. The commands received from the off-board remote controller interface 204 may include commands generated manually by a user with the proper permission selecting a particular ride-through control level, or automatically based on a particular geo-fence that a locomotive is entering. The cab electronics system 238 may then communicate commands to the on-board locomotive control system 237. In parallel with these on-board communications, the cab electronics system 238 may communicate the same commands via a WiFi/cellular modem 250, or via a locomotive interface gateway 335 and WiFi/cellular modem 250 to the off-board remote controller interface 204. In various alternative implementations, the off-board remote controller interface 204 may further process the commands received from the lead locomotive 208 of the lead consist in order to modify the commands before transmitting the commands to lead locomotives of trailing consists. Modification of the commands may be based on additional information the remote controller interface has acquired from the lead locomotives of the trailing consists, trip plans, information from maps or other stored data, and the results of machine learning, virtual system modeling, synchronization, and calibration performed by the analytics server 316. The commands may be received from the remote controller interface in parallel at each of the lead locomotives 248 of multiple trailing consists.

The method of remotely controlling the locomotives in various consists of a train may also include configuring one or more programmable logic controllers (PLC) of microprocessor-based locomotive control systems 237 on-board one or more lead locomotives to selectively set predetermined ranges for operating parameters associated with various components or subsystems. As discussed above, the predetermined ranges for operating parameters may be selectively set based at least in part on a manually or automatically selected ride-through control level and a geo-fence associated with the location of the locomotive. In one exemplary implementation, a locomotive control system 237 may determine that a circuit of a particular subsystem of the associated locomotive is operating properly when the current flowing through the circuit falls within a particular range. A circuit breaker may be associated with the circuit and configured to trip when the current flowing through the circuit deviates from the determined range. In another exemplary implementation, the locomotive control system may determine that a particular flow rate of exhaust gas recirculation (EGR), or flow rate of a reductant used in exhaust gas aftertreatment, is required in order to meet particular fuel economy and/or emission levels. A valve and/or pump regulating the flow rate of exhaust gas recirculation and/or reductant may be controlled by the locomotive control system when a level of a particular pollutant deviates from a predetermined range. The predetermined ranges for various operating parameters may vary from one locomotive to another based on specific characteristics associated with each locomotive, including age, model, location, weather conditions, type of propulsion system, fuel efficiency, type of fuel, and the like.

The method of controlling locomotives in a train in accordance with various implementations of this disclosure may still further include the cab electronics system 238 on-board a locomotive receiving and processing data outputs from one or more of gauges, indicators, sensors, and controls on-board the locomotive. The cab electronics system 238 may also receive and process, e.g., throttle, dynamic braking, and pneumatic braking requests from the energy management system and/or human operator 232 on-board the locomotive, and command signals from the off-board remote controller interface 204. The command signals received from off-board the locomotive, or generated on-board the locomotive may be determined at least in part by a selected ride-through control level and the particular geo-fence associated with the current location of the train. The cab electronics system 238 may then communicate appropriate commands to the locomotive control system 237 and/or electronic air brake system 236 based on the requests, data outputs and command signals. The locomotive control system 237 may perform various control operations such as resetting circuit breakers, adjusting throttle settings, activating dynamic braking, and activating pneumatic braking in accordance with the commands received from the cab electronics system 238.

Train control methods according to various exemplary embodiments of this disclosure may also include using machine learning for implementing handovers between centralized and distributed train control models. Such methods may include providing a centralized or cloud-based computer processing system in one or more of a back-office server or a plurality of servers remote from a train, and providing one or more distributed, edge-based computer processing systems on-board one or more locomotives of the train, wherein each of the distributed computer processing systems is communicatively connected to the centralized computer processing system. The methods may include acquiring real-time and historical configuration, structural, and operational data in association with inputs derived from real time and historical contextual data relating to a plurality of trains operating under a variety of different conditions and in different geographical areas for use as training data at a data acquisition hub communicatively connected to one or more of databases and a plurality of sensors associated with the one or more locomotives or other components of the train. The methods may also include creating one or more centralized models of one or more actual train control systems in operation on-board the one of more locomotives of the train using a centralized virtual system modeling engine included in the centralized computer processing system and based at least in part on data received from the data acquisition hub, wherein a first one of the centralized models is utilized in a process of generating a first set of output control commands for a first train control scenario implemented by an energy management system associated with one or more of the locomotives, and creating one or more edge-based models of one or more actual train control systems in operation on-board the one or more locomotives of the train using one or more distributed virtual system modeling engines included in one or more of the distributed computer processing systems and based at least in part on data received from the data acquisition hub, wherein a first one of the edge-based models is utilized in a process of generating a second set of output control commands for a second train control scenario implemented by the energy management system associated with the one or more of the locomotives. The train control methods may still further include receiving the training data from the data acquisition hub at a machine learning engine included in at least one of the centralized and distributed computer processing systems, receiving the first centralized model from the centralized virtual system modeling engine at the machine learning engine, receiving the first edge-based model from one of the distributed virtual system modeling engines at the machine learning engine, and training a learning system with the machine learning engine using the training data to enable the machine learning engine to predict when one or more locomotives of the train will enter a geo-fence where communication between at least one of the one or more edge-based computer processing systems and the centralized computer processing system will be inhibited. Training the learning system may include providing the training data as an input to a learning function including at least one learning parameter, the learning function being configured to use the at least one learning parameter to generate an output based on the input, causing the learning function to generate the output based on the input, comparing the output of the learning function to the training data to determine a difference between the prediction and actual real time data indicative of a breakdown in communication between the centralized computer processing system and the at least one of the one or more edge-based computer processing systems, and modifying the at least one learning parameter and the output of the learning function to decrease the difference responsive to the difference being greater than a threshold difference. The train control methods may also include transferring contextual data relating to the one or more locomotives of the train predicted to enter a geo-fence before the one or more locomotives actually enter the geo-fence from the at least one of the one or more edge-based computer processing systems to the centralized virtual system modeling engine in the centralized computer processing system for use in creating the first centralized model.

It will be apparent to those skilled in the art that various modifications and variations can be made to the systems and methods of the present disclosure without departing from the scope of the disclosure. Other embodiments will be apparent to those skilled in the art from consideration of the specification and practice of the system disclosed herein. It is intended that the specification and examples be considered as exemplary only, with a true scope of the disclosure being indicated by the following claims and their equivalents.

Claims

1. A train control system configured to enable rapid, reliable, and verifiable association of a mobile component carried by an operator with at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in a train, the train control system comprising:

the mobile component configured to be carried by an operator from one of the one or more locomotives to another of the one or more locomotives in the one or more consists in the train;
the at least one of a device, feature, or short range transceiver located on each of the one or more locomotives in the one or more consists in the train and the mobile component being configured to communicate with each other wirelessly when brought within a threshold distance or less from each other;
the mobile component being configured to communicate with each of the one or more locomotives and exchange a unique identifier associated with the one or more consists in the train or associated with a wireless network operational on the one or more consists;
the mobile component being configured to exchange the unique identifier with each of the one or more locomotives automatically or upon an action of the operator when the operator brings the mobile component to within the threshold distance or less of each of the one or more locomotives; and
the train control system being configured to limit communication of wireless control commands or diagnostic information from a lead locomotive of the one or more locomotives such that the commands or diagnostic information are communicated only to other locomotives of the one or more locomotives that have been verifiably identified as being associated with the lead locomotive by exchange of the unique identifier with the mobile component carried by the operator.

2. The train control system of claim 1, wherein the at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in the train comprises a Bluetooth device.

3. The train control system of claim 1, wherein the at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in the train comprises an Infrared (IR) device.

4. The train control system of claim 1, wherein the at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in the train comprises a radio frequency identification (RFID) device.

5. The train control system of claim 1, wherein the mobile component comprises a transceiver communicatively compatible with the at least one of a device, feature, or short range transceiver.

6. The train control system of claim 5, wherein the mobile component comprises a radio frequency identification (RFID) card.

7. The train control system of claim 1, wherein the mobile component is configured to exchange the unique identifier with each of the one or more locomotives upon the operator moving the mobile component to within the threshold distance or less of each of the one or more locomotives.

8. The train control system of claim 7, wherein the mobile component is configured to exchange the unique identifier with each of the one or more locomotives upon the operator scanning a bar code located on each of the one or more locomotives with a bar code reader of the mobile component or presenting a bar code on the mobile component to a bar code scanner on each of the one or more locomotives.

9. The train control system of claim 1, wherein the unique identifier comprises at least one of a Wi-Fi secured password or an employee identification.

10. A method of rapidly, reliably and verifiably associating locomotives in a train with a lead locomotive of the train, the method comprising:

carrying a mobile component to within a threshold distance or less from at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in the train;
wireles sly communicating between the at least one of a device, feature, or short range transceiver located on each of the one or more locomotives in the one or more consists in the train and the mobile component when the at least one of a device, feature, or short range transceiver and the mobile component are brought within the threshold distance or less from each other;
exchanging an identifier unique to the one or more consists in the train or unique to a wireless network associated with the one or more consists between the mobile component and each of the one or more locomotives, wherein the mobile component exchanges the unique identifier with each of the one or more locomotives automatically or upon an action of an operator when the operator brings the mobile component to within the threshold distance or less of each of the one or more locomotives; and
limiting communication of wireless control commands or diagnostic information from the lead locomotive of the one or more locomotives such that the commands or diagnostic information may be communicated only to others of the one or more locomotives that have been verifiably identified as being associated with the lead locomotive by exchange of the unique identifier with the mobile component carried by the operator.

11. The method of claim 10, wherein the at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in the train comprises a Bluetooth device.

12. The method of claim 10, wherein the at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in the train comprises an Infrared (IR) device.

13. The method of claim 10, wherein the at least one of a device, feature, or short range transceiver located on one or more locomotives of one or more consists in the train comprises a radio frequency identification (RFID) device.

14. The method of claim 10, wherein the mobile component comprises a transceiver communicatively compatible with the at least one of a device, feature, or short range transceiver.

15. The method of claim 14, wherein the mobile component comprises a radio frequency identification (RFID) card.

16. The method of claim 10, wherein the mobile component exchanges the unique identifier with each of the one or more locomotives upon the operator moving the mobile component to within the threshold distance or less of each of the one or more locomotives.

17. The method of claim 16, wherein the mobile component exchanges the unique identifier with each of the one or more locomotives upon the operator scanning a bar code located on each of the one or more locomotives with a bar code reader of the mobile component or presenting a bar code on the mobile component to a bar code scanner on each of the one or more locomotives.

18. The method of claim 10, wherein the unique identifier comprises at least one of a Wi-Fi secured password or an employee identification.

19. A train control system configured to enable rapid, reliable, and verifiable association of a lead locomotive in a consist in a train over a first wireless network with a wireless node located on one or more other locomotives of one or more consists in the train, the train control system comprising:

at least one of a mobile component configured to be carried by an operator from one of the one or more locomotives to another of the one or more locomotives in the one or more consists in the train, or a separate, second wireless network communicatively coupled to the one or more locomotives in the one or more consists in the train;
the wireless node located on each of the one or more locomotives in the one or more consists in the train and the at least one of the mobile component, or the separate, second wireless network being configured to communicate with each other wireles sly;
the mobile component and the separate, second wireless network being configured to exchange with each of the one or more locomotives an identifier unique to the one or more consists in the train or unique to the first wireless network;
the mobile component being configured to exchange the unique identifier with each of the one or more locomotives automatically or upon an action of the operator when the operator brings the mobile component to within the threshold distance or less of each of the one or more locomotives; and
the train control system being configured to limit communication of wireless control commands or diagnostic information from a lead locomotive of the one or more locomotives such that the commands or diagnostic information may be communicated only to others of the one or more locomotives that have been verifiably identified as being associated with the lead locomotive by exchange of the unique identifier with the mobile component carried by the operator or with the separate, second wireless network.

20. The train control system of claim 19, wherein the mobile component is configured to exchange the unique identifier with each of the one or more locomotives upon the operator moving the mobile component to within the threshold distance or less of each of the one or more locomotives.

Patent History
Publication number: 20210323589
Type: Application
Filed: Apr 15, 2020
Publication Date: Oct 21, 2021
Applicant: Progress Rail Services Corporation (Albertville, AL)
Inventors: Mark A. FANARA (Blue Springs, MO), Raymond T. KELLEHER (Frankfort, IL), John M. HANDY (Wheaton, IL)
Application Number: 16/849,436
Classifications
International Classification: B61L 15/00 (20060101); B61C 17/12 (20060101);