Abstract: A system for monitoring and analyzing data in a distributed process control system is provided. The system includes a user interface having a set of user controls for selecting and configuring data blocks to create a data diagram representing a data model. The data blocks are associated with data operations, such as data analytics functions, and may be configured by the user for particular instances of general blocks. The data blocks are interconnected by wires conveying outputs or inputs of the blocks, which may also connect data sources to the data blocks. The data sources may include on-line data (i.e., data streams) or off-line data (i.e., stored data) from the process control system. Additional user controls may be used to evaluate the data diagram or convert the data diagram from an off-line to an on-line version.

Abstract: During commissioning activities of a process plant, a device placeholder object that stores an I/O-abstracted configuration of a particular field device within the plant is created and stored in a device in the back-end environment of the plant and a further configuration file is stored in or for the particular field device in the field equipment environment of the plant. The device placeholder object, which will eventually be associated with the particular field device, and the field device configuration file are used to perform separate commissioning activities in each of these plant environments before the field devices are configured to communicate with a process controller via a particular I/O network within the plant. Thereafter, a binding application performs a discovery process to detect the I/O communication path through which each field device is connected to the back-end environment.

Abstract: An I/O-abstracted configuration is defined for a field device that has not yet been assigned or allocated to communicate via a particular I/O device, and the field device (and optionally portions of the process control loop of which the field device is a part) is commissioned based on contents of its I/O-abstracted configuration. The field device's I/O-abstracted configuration is stored in an instance of a device placeholder object, which may be common to multiple types of devices and multiple types of I/O. A property of the device placeholder object may be exposed based on the value entered for another property, and the device placeholder object may store abstracted values as well as explicit or discrete values that are descriptive of the field device and its behavior. Upon I/O-assignment or allocation, values held in the device's I/O-abstracted configuration may be transferred to or otherwise synchronized with the device's as-built configuration.

Abstract: A handheld maintenance tool operates to detect the existence of a fault in a communication line or bus, including detecting short circuit or other low impedance faults, open circuit or other high impedance faults, etc. Additionally, the handheld maintenance tool may operate to detect an approximate location of a fault within the communication line with respect to the handheld device, to thereby enable an operator or maintenance person to more easily find and repair a detected fault.

Abstract: Techniques for automatically testing an entire process control loop, such as after components and portions of the loop have been commissioned separately, or after run-time operation begins, enable the process control loop to be tested without an operator in a back-end environment of a process plant coordinating with an operator in a field environment of the process plant to supply inputs and/or generate various conditions at the loop. Instead, a single operator performs a single operation to initiate an automatic loop test, or in some implementations, no user input is needed to initiate and/or perform the automatic loop test. Automatic loop testing includes automatically causing a field device to operate in a plurality of test states and determining whether resultant loop behaviors are expected behaviors. Multiple loops may be tested concurrently or distinct in time. An automatic loop test result is generated and may be presented via a user interface.

Abstract: A platform-to-platform communication architecture for a process control messaging service in a process control system or other industrial setting allows stationary and portable industrial computing units to communicate with each other, in one-to-one and one-to-many communications, and across networks, including isolated networks inside the process control system or industrial setting and external networks. A requesting industrial computing device platform generates a message for a destination, or responding, industrial computing device in the communication protocol of the destination platform, and wraps the message in a communication protocol of the process control messaging service. The communication architecture decodes the wrapped message into the communication protocol of the destination industrial computing device and forwards the decoded wrapped message to the destination.

Abstract: A platform-to-platform communication architecture for a process control messaging service in a process control system or other industrial setting allows stationary and portable industrial computing units to communicate with each other, in one-to-one and one-to-many communications, and across networks, including isolated networks inside the process control system or industrial setting and external networks. A requesting industrial computing device platform generates a message for a destination, or responding, industrial computing device in the communication protocol of the destination platform, and wraps the message in a communication protocol of the process control messaging service. The communication architecture decodes the wrapped message into the communication protocol of the destination industrial computing device and forwards the decoded wrapped message to the destination.

Abstract: Techniques for synchronizing configuration changes in a process plant allow for intelligent and efficient updates to objects and related dependent objects. Additionally, techniques for synchronizing minor configuration changes in a process plant enable real-time updates to objects during run-time. Such techniques reduce the amount of downtime for online operation of the process plant and reduce the amount of information transmitted over the process control network. Each object may correspond to a process entity and dependent objects may be referenced by or may reference the object. In some cases, when an engineer modifies an object, dependent objects with respect to the modified object that have pending modifications are identified and displayed to the engineer. The engineer then selects the dependent objects to sync with the modified object and the dependent objects and modified object are synced and executed by a corresponding device in the run-time system.

Abstract: A method and system configures a Device Description Language (DDL) interface on a DDL-based host system in a process plant. Using a device description identification, the system and method updates the host system with the device description for a selected process control device. The device description includes menus for the selected process control device. The method and system expose the DDL menu constructs from the device description to the host system, such that the host system is able to present the DDL constructs as user-selectable elements in a configuration interface, where DDL constructs may be added, deleted and/or modified to create a DDL interface independent of the menu for the process control device as provided in the device description.

Abstract: A system communicates process data to a remote computing device. The system includes a processor, a communication unit, and a memory storing instructions for modules. The modules include a scanner interfacing with the communication unit to enable communication with a server via a first network. The scanner enables communication by receiving data from the server, identifying polling requests in the data received, and transmitting request lists to the server in response to the polling requests. The modules also include a data stream processor determining a set of process data values in the data received, the set of process data values corresponding to view list data to be communicated to the remote computing device. Another module is an application program interface (API) interfacing with the communication units to enable communication with the remote computing device a second network by transmitting the set of process data values to the remote computing device.

Abstract: A method of sequencing a logical transfer of wireless nodes between wireless mesh networks includes iteratively evaluating each wireless node in a first set of wireless nodes to be transferred. Each evaluation includes a predictive analysis of a source wireless mesh network which tests communications between the gateway of the source wireless mesh network and each of the remaining wireless nodes, and a predictive analysis of the wireless node under evaluation in a destination wireless mesh network which tests communications between the gateway of the destination wireless mesh network and the wireless node under evaluation. The wireless node under evaluation is appended to a second set of wireless nodes to be transferred in response to the first predictive analysis of the source mesh network, and the predictive analysis of the wireless node under evaluation. The wireless nodes are structured in the second set in order of priority of transfer.

Abstract: Techniques for commissioning a process control device in a process plant include obtaining, at a portable computing device, commissioning data for commissioning the respective process control device for operation, such as a device tag. The portable computing device then transfers the commissioning data to a component in the same process control loop as the process control device via a wireless communication link. For example, the component includes a radio-frequency identification (RFID) or near field communication (NFC) unit for receiving RFID/NFC signals. When the portable computing device is within RFID/NFC communication range of the component, the commissioning data is transferred via an RFID/NFC signal to the component. The commissioning data is received while the component is in an unpowered state, where the RFID/NFC signal energizes the RFID/NFC unit at the component for receiving the signal.

Abstract: A computer-readable storage medium for controlling a process plant includes instructions operable to determine the location of a device in the process plant and to display data related to proximate devices. The instructions cause a processor to transmit to a server a first request for first data from a data storage area and to receive from the server, in response to the first request, first data from the storage area. The instructions cause the processor to cause the display to display the first data received from the server and to receive an indication that the mobile user interface device is in proximity to an external device. The instructions cause the processor to transmit to the server a second request for second data according to the received indication and to receive second data from the server.

Abstract: A distributed big data device in a process plant includes an embedded big data appliance configured to locally stream and store, as big data, data that is generated, received, or observed by the device, and to perform one or more learning analyzes on at least a portion of the stored data. The embedded big data appliance generates or creates learned knowledge based on a result of the learning analysis, which the device may use to modify its operation to control a process in real-time in the process plant, and/or which the device may transmit to other devices in the process plant. The distributed big data device may be a field device, a controller, an input/output device, or other process plant device, and may utilize learned knowledge created by other devices when performing its learning analysis.

Abstract: A method of controlling and managing a process control system having a plurality of control loops includes implementing a plurality of control routines to control operation of the plurality of control loops, respectively, wherein the control routines may include at least one non-adaptive control routine. The method then collects operating condition data in connection with the operation of each control loop, and identifies a respective process model for each control loop from the respective operating condition data collected for each control loop. The identification of the respective process models may be automatic as a result of a detected process change or may be on-demand as a result of an injected parameter change. The process models are then analyzed to measure or determine the operation of the process control loops.

Abstract: Apparatus, systems, and methods for communicating data between a controller and a multiplicity of field devices operating in a process plant are provided. The system includes distributed marshaling modules coupled by a head-end unit to I/O cards in communication with the controller. The distributed marshaling modules communicate with the field devices via respective electronic marshaling components converting signals between the field devices and the I/O cards. The distributed marshaling modules are coupled to the head-end unit by a ring communication architecture, such that the distributed marshaling modules may each be located relatively proximate to the field devices to which they are coupled.

Abstract: A data modeling studio provides a structured environment for graphically creating and executing models which may be configured for diagnosis, prognosis, analysis, identifying relationships, etc., within a process plant. The data modeling studio includes a configuration engine for generating user interface elements to facilitate graphical construction of a model and a runtime engine for executing data models in, for example, an offline or an on-line environment. The configuration engine includes an interface routine that generates user interface elements, a plurality of templates stored in memory that serve as the building blocks of the model and a model compiler that converts the graphical model into a data format executable by the run-time engine. The run time engine executes the model to produce the desired output and may include a retrieval routine for retrieving data corresponding to the templates from memory and a modeling routine for executing the executable model.

Abstract: Methods, apparatus and systems are disclosed for multi-module process control management. A multi-module view is presented, via a user interface, including a plurality of control modules corresponding to functions of a control process. The multi-module view provides a first set of configuration capabilities associated with the control modules, including the capability to logically connect respective ones of the control modules. In response to the selection of one of the control modules of the multi-module view, a single-module view is presented, via the user interface, including a functional block associated with the selected one of the control modules of the multi-module view. The single-module view provides a second set of configuration capabilities associated with the functional block, including the capability to logically connect the functional block to a respective one of the control modules.

Abstract: An anomaly detection system installed in a plant communications network detects unexpected changes or anomalies in the traffic patterns over the communications network to detect infected or potentially infected nodes. The anomaly detection system includes various data collection modules at each of the nodes of the network which operate to view the message traffic into and out of the node and to generate metadata pertaining to the message traffic. The communication modules at the nodes send the traffic metadata to an anomaly analysis engine, which processes the metadata using a rules engine that analyzes the metadata using a set of logic rules and traffic pattern baseline data to determine if current traffic patterns at one or more network nodes are anomalous. If so, the analysis engine may generate an alert or message to a user informing the user of the potentially infected node, may automatically disconnect the node from the network, or may take some other action to minimize the effects of an infected node.