Abstract: An AI-based smart asset health surveillance system for a connected system is presented. The connected system includes a plurality of production and/or process lines, wherein each of the plurality of production and/or process lines includes a plurality of assets. The smart asset health surveillance system includes a memory having computer-readable instructions stored therein; and a processor configured to execute the computer-readable instructions. The processor is configured to execute the computer-readable instructions to monitor the plurality of assets and to automatically predict one or more downtime and/or anomalous events for the plurality of assets. An AI-based smart asset health surveillance method is also presented.

Abstract: A life expectancy prediction system for a target tool includes a processing machine body, a detector to detect a state data, a learned model storage unit to store learned models generated by executing machine learning using training datasets, including an explanatory variable and an objective variable, the explanatory variable being the state data and the objective variable being a number of first remaining machining times, the learned model storage unit being to store the learned models, each for each of the tools and a remaining machining times prediction unit to select, based on the state data, one learned model and predict a number of second remaining machining times, using the one learned model and the state data.

Abstract: A control system configured to control safety-critical and non-safety-critical processes and/or plant components includes: a non-safety controller module, at least one safety controller module, and at least one condition monitoring module. The non-safety controller module is configured to control the non-safety-critical processes and/or the non-safety-critical plant components. The at least one safety controller module is configured to control the safety-critical processes and/or the safety-critical plant components. The at least one condition monitoring module is configured to perform fail-safe condition monitoring and to collect monitoring data. The non-safety controller module is configured to receive the collected monitoring data from the condition monitoring module and to pass the collected monitoring data to the safety controller module. The safety-controller module is configured to evaluate the monitoring data based on safety conditions.

Abstract: A method for securely managing operations of a field device in an industrial environment includes receiving a request to operate the field device from one or more data sources. The request includes information associated with the field device, requestor information, and at least one operation command to be executed on the field device. The method further includes generating one or more control signals to operate the field device based on the received request. Further, the method includes validating the generated one or more control signals based on information related to the field device and proximity of one or more objects with respect to location of the field device. The method includes outputting the generated one or more control signals to at least one field device via a network based on successful validation of the one or more control signals. The outputted one or more control signals operate the field device.

Abstract: A method for machining a toothing of a workpiece held in a clamping, in which a toothing tool that rotates about its rotational axis and comprises cutting edges is brought into rolling chip-removing machining engagement with the toothing that rotates about its rotational axis, in order to produce a predetermined tooth flank end geometry in one or more machining passes, wherein during the machining pass which produces the tooth flank end geometry, monitoring responsive to the event of a removed chip being pressed into a machined tooth flank of the toothing by means of the rolling machining process is carried out and, if the monitoring responds, an additional toothing machining process that removes the material protrusion on top of the tooth flank end geometry formed by the chip that was pressed in is implemented automatically, which process is carried out in the same clamping of the workpiece and by means of the toothing tool.

Abstract: A first component of a process control loop (e.g., a controller or I/O gateway) monitors for and detects performance degradation of a second component of the loop by sending heartbeat messages to the second component via a diagnostic channel different from a control communications channel via which the first and second components communicate control messages for controlling an industrial process. The second component utilizes its control message interpreter to return received heartbeat messages to the first component via the diagnostic channel. The first component detects degradation of the second component when the round trip time (RTT) of a heartbeat message falls outside of an acceptable range of RTTs for the second component, and may suggest or automatically initiate mitigating actions. The first component may determine the average RTT or expected response time of the second component and acceptable range of variations based on a sample number of measured RTTs.

Abstract: A method for actuating a valve with an electromagnetic valve drive through which electric current is conducted to open or close the valve or to hold the valve in an open or closed position includes receiving an opening signal, determining an adapted opening signal which is adapted to physical limits of the valve or valve drive, and determining a feed-forward signal for feed-forward control of an electric current to drive the electromagnetic valve drive to open the valve in reaction to the adapted opening signal. The method further includes calculating an actuation signal for actuating the valve drive using the feed-forward signal, and outputting the actuation signal.

Abstract: The present disclosure discloses an Industrial Internet of Things (IIoT) with a dual independent platform, which comprises a user platform, a service platform, a management platform, a sensor network platform and an object platform that interact in turn. The service platform adopts centralized layout, and the management platform and the sensor network platform adopt independent layout. The present disclosure also discloses a control method of the IIoT with the dual independent platform. The present disclosure builds the IIoT based on the five platform structure, in which the sensor network platform and the management platform are arranged independently, and each corresponding platform includes a plurality of independent sub-platforms, so that the independent sensor network platform and the management platform can be used for each production line device to form an independent data processing channel and transmission channel, and reduce the data processing capacity and transmission capacity of each platform.

Abstract: A motion system and method of managing health of the motion system uses at least one multi-dimensional motor operational parameter (MOP) model and motion variables used by a servo drive of the motion system to calculate at least one health indication value for the motion system. The health indication value is used to generate a notification for maintenance of the motion system.

Abstract: Embodiments for controlling flow rates within a well system are disclosed herein. In one embodiment, a first flow control configuration is determined including determining flow profiles for a plurality of zones each including at least one flow control device. Contaminant intake classifications associated with one or more of the zones are generated based on the first flow control configuration and a first contaminant level detected for a combined flow comprising inflow from the zones. A second flow control configuration for the zones is generated based on the contaminant intake classifications.

Abstract: Systems, devices, and methods including: receiving, by an interpreter component having a processor with addressable memory, a first state of a tool of a computer numerical control (CNC) machine; determining, by the interpreter component, a reward and a value of the reward based on the received first state, where the reward is at least one of: positive and negative; transmitting, by the interpreter component, a set of information comprising the determined reward and the value of the reward to an agent component; performing, by the agent component, at least one action to generate a tool path and to proceed to a second state, where the second state is combined with the first state; and determining, by the agent component, the generated tool path based on the determined reward and value associated with the at least one action.

Abstract: A data processing apparatus executes a process on each piece of data repetitively transmitted from a device and transmits processing information on the process to a receiving apparatus, and includes an outputter and a GW communicator. The outputter acquires conditional information, indicating whether a transmission condition required for transmission of generation data generated in execution of the process to the receiving apparatus is satisfied, after every generation of generation data. When the conditional information indicates satisfaction of the transmission condition for the piece of generation data, the outputter outputs additional information on satisfaction or dissatisfaction of the transmission condition for at least one of another piece of generation data generated immediately before or after the piece of generation data.

Abstract: The present disclosure discloses an industrial internet of things with a dual front sub platform and a control method, the industrial internet of things includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform that interact in turn. The service platform adopts a centralized layout, and the management platform and the sensor network platform adopt a front sub platform layout. The control method is used for the industrial internet of things.

Abstract: In order to monitor the operational status of a plant, a plant monitoring apparatus 10 includes: a control program acquisition unit 11 configured to acquire a control program for controlling the plant on the basis of sensor data from a sensor installed in the plant; a causal relationship extraction unit 12 configured to extract, from the control program, causal relationships between a plurality of signals that are used in the plant; a causal relationship specification unit 13 configured to specify the current state of the plurality of signals and compare the specified state and the extracted causal relationships to specify a causal relationship corresponding to the specified state; and a display unit 14 configured to display the specified causal relationship on a screen.

Abstract: The present disclosure relates to an Industrial Internet of Things (IoT) and a method for controlling a balance rate of a production line. The Industrial IoT includes an user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence, the service platform adopts a centralized arrangement, the management platform adopts an independent arrangement, and the sensor network platform adopts a rear sub-platform arrangement.

Abstract: A first valve of a manifold for a fluid distribution system may regulate a fluid flow to a first fluid handling device (“FHD”). A second valve of the manifold may communicate with a second FHD, a reservoir, or a recirculation line. A target flow condition for the manifold may be determined by a manifold control system (“MCS”) based on a device setting received for the first FHD. The MCS may determine a fluid distribution system operation for obtaining the target flow condition based on the target flow condition, a flowrate of the fluid flow, and an operational state of a supply device. The operation may include the MCS controlling at least one of the supply device, the first valve, and the second valve to change the flowrate. The MCS may continuously operate at least one manifold valve to maintain the target flow condition once exhibited by the manifold.

Abstract: Computing device and method using machine learning to optimize operations of a processing chain of a food factory. The computing device collects data representative of characteristics of a product processed by the processing chain. At least some of the collected data are received from one or more sensor monitoring operations of the processing chain. The computing device determines at least one product characteristic value based on the collected data. The computing device executes the machine learning inference engine, which uses a predictive model for inferring command(s) for controlling processing appliance(s) of the processing chain based on inputs. The inputs comprise the at least one product characteristic value. The computing device transmits the command(s) to the processing appliance(s) of the processing chain. Examples of product characteristic values comprise: a product temperature, a product humidity level, a product geometric characteristic, a product weight, and a product defect measurement.

Abstract: According to one embodiment, an electronic apparatus includes a receiver, a processor and a transmitter. The receiver receives a reception signal including a value indicating a physical quantity related to operation of a control target object at a communication destination. The processor determines a state of wireless communication between the electronic apparatus and the communication destination. The processor calculates a target value for instructing operation of the control target object. The processor generates a transmission signal including a value obtained by modifying the target value. The transmitter transmits the transmission signal to the control target object.

Abstract: A data collection setting device of an industrial machine includes: a display unit that displays augmented reality; an industrial machine identifying unit that identifies the industrial machine in the real world displayed on the display unit; a data display control unit that displays, on the display unit, a virtual object relating to the data which are collectable in the identified industrial machine; a data collecting device display control unit that displays, on the display unit, an object indicating the data collecting device; an operation determining unit that determines operation of an operator with respect to the virtual object relating to the data and the object indicating the data collecting device displayed on the display unit, and identifies the data and the data collecting device; and a data collection setting generating unit that generates a setting for collecting the identified data of the industrial machine (10) in the identified data collecting device.

Abstract: According to an aspect, there is provided method for analyzing movement. Initially, information on one or more desired movement properties for a moving element of a mechanical system powered by an electrical machine which is controlled by a drive is maintained in a memory of a wireless sensing device. The wireless sensing device including one or more sensors is detachably fixed to the moving element of the mechanical system. The one or more sensors include one or more kinematic sensors. The wireless sensing device acquire results of a plurality of measurements performed by the wireless sensing device while the moving element is in motion. During the acquiring, the wireless sensing device compares results of the plurality of measurements with the one or more desired movement properties and communicates with the drive to adjust one or more drive parameters based on the comparing.