Abstract: A cloud-based edge-as-as-service (EaaS) system allows edge gateways to be easily configured and deployed on the cloud for collection, contextualization, and egress of industrial data to downstream applications, including analytic applications, work order management systems, or visualization systems. The EaaS system uses predefined device profiles to automatically discover relevant data items on plant floor devices and present these data items to a user. Model configuration interfaces served by the EaaS system allow the user to map selected data items to predefined models for organizing or contextualizing the selected data, and for egressing the contextualized data to the target applications. These model configurations can be deployed on the cloud platform as edge gateways that use the resulting information models to collect and contextualize relevant items of device data during runtime and to export the modeled data to the target application.

Abstract: A power supply system includes modular power supply modules interconnected via a wire harness. The power supply system can be installed in one or more electrical cabinets in a manufacturing facility, for example, among other possible applications. The wire harness includes a fault bus and a synchronization bus, and the individual power supply modules detect and report faults as well as synchronize operation, such as pre-charging, via communication using the wire harness.

Abstract: A system may include a control system for controlling one or more operations of one or more industrial devices in an industrial system. The control system may receive streaming data comprising one or more visualizations representative of one or more live operational parameters associated with one or more industrial devices. The streaming data may include multiple image frames. The control system may also identify multiple datasets associated with the streaming data and generate multiple machine-readable images based on the multiple datasets. In addition, the control system may embed the multiple machine-readable images within the multiple image frames of the streaming data to generate updated streaming data and send the updated streaming data to a computing system that may extract the multiple machine-readable images from the updated streaming data.

Abstract: A system and method for monitoring and controlling an industrial process using a data model extensible to different industry applications. The system is configured to: receive data describing the industrial process from one or more data sources in a first format; contextualize and transform the data by determining one or more tags for the data, the one or more tags comprising context information describing characteristics of the entities involved in the industrial process; generate a data model describing the industrial process based on the one or more tags; receive a first indication from a user indicating a first industry application to which the data model will be applied; and extend the data model to include a second plurality of nodes representing entities associated with the first industry application and a second plurality of edges connecting the second plurality of nodes and describing relationships between the second plurality of nodes.

Abstract: A system and method for monitoring and controlling energy use in an industrial process. The method includes: receiving, by a processing circuit, data describing energy use in an industrial process from one or more data sources; contextualizing, by the processing circuit, the data describing the energy use in an industrial process; generating, by the processing circuit, an energy data model based on the contextualized data; executing, by the processing circuit, the energy data model to determine key performance indicators for the energy use in an industrial process; displaying, by the processing circuit, the key performance indicators to a user; determining, by the processing circuit, if the key performance indicators are above one or more pre-determined thresholds; and taking a corrective action in response to the key performance indicators being above the one or more pre-determined thresholds.

Abstract: A system and method for monitoring and controlling production of batches of products in an industrial process, the method comprising: receiving, by a processing circuit, data describing a batch of products generated in an industrial process from one or more data sources; contextualizing, by the processing circuit, the data describing the batch of products generated in the industrial process; generating, by the processing circuit, a batch data model based on the contextualized data; executing, by the processing circuit, the batch data model to determine key performance indicators for the batch of products; comparing, by the processing circuit, the key performance indicators to pre-determined key performance indicators; and performing an automated action based on a result of the comparison.

Abstract: A system and method for monitoring and controlling assets to mitigate predicted future faults. The method includes receiving, by a processing circuit, data describing an asset from one or more data sources; generating, by the processing circuit, an asset data model based on the received data; receiving, by the processing circuit, an extensible data model describing an organizational structure of an enterprise associated with the asset; extending, by the processing circuit, the extensible data model to include the asset models executing, by the processing circuit, the extensible data model including the asset models to determine one or more key performance indicators for the asset; predicting, by the processing circuit, a future fault for the asset based on the key performance indicators; sending, by the processing circuit, an informed and prioritized notification to plant personnel regarding the predicted fault; and taking a corrective action to mitigate the predicted future fault.

Abstract: The present technology relates to health metrics corresponding to industrial automation devices and a user experience for viewing and configuring health metrics. Health metrics of a device can be produced by obtaining performance metrics of the device and contextualizing the performance metrics based on contextualization information. The health metrics can be categorized based on applying rule sets to the health metrics. The rule sets can be selectively applied to the health metrics based on a type of a respective health metric. The health metrics and health metric categories can be instantiated in a user interface of a user device based on a request for device health information from the user device.

Abstract: The present technology relates to health metrics corresponding to industrial automation devices and a user experience for configuring calculation devices to produce the health metrics. Health metrics of a device can be produced by obtaining performance metrics of the device and contextualizing the performance metrics based on contextualization information. The health metrics can be categorized based on applying rule sets to the health metrics. Contextualization and application of rule sets can be selectively performed by one or more calculation devices, such as one or more servers, industrial devices, user devices, or the like based on configuration settings. The calculation devices can obtain the performance metrics, operations, and rule sets to produce the health metrics for instantiation on a user interface.

Abstract: The present technology relates to health metrics corresponding to industrial automation devices and a user experience for connecting to devices in an industrial automation environment to configure and view health metrics. Health metrics of a device can be obtained from a server, an industrial device, a controller coupled to the industrial device, or another source, and provided to a user interface device. The user interface device can display indications of the health metrics on a user interface. The user interface device can also establish a connection with a user device and provide the indications of the health metrics to the user device for display on a user interface of the user device.

Abstract: Various embodiments of the present technology generally relate to solutions for integrating machine learning models into industrial automation environments. More specifically, embodiments of the present technology include systems and methods for implementing machine learning models within industrial control code to improve performance, increase productivity, and add capability to existing control programs. In an embodiment, a system comprises: a storage component configured to maintain a set of model control schemes for controlling an industrial process, a control component configured to control the industrial process with a control program running a model control scheme, wherein the model control scheme is configured to optimize a first parameter of the industrial process, and a model management component configured to change the model control scheme to optimize a second parameter of the industrial process that is distinct from the first parameter.

Abstract: A latch system for an electrical equipment enclosure includes a chassis and a latch arm, engaged with a circuit breaker, that moves between first, second, and intermediate arm positions. A handle operatively connected to the circuit breaker is movable between ON, TRIP, OFF, and RESET handle positions. The handle is operatively connected to the latch arm such that the latch arm is positioned in the second arm position when the handle is located in said RESET handle position. The latch arm spring biases the latch arm into the first or intermediate positions when the handle is in the ON, TRIP, or OFF handle position. A lockout plunger is connected to the handle to rotate with the handle and is movable between disengaged and engaged positions. The lockout plunger prevents movement of the handle from the OFF to the ON handle position when the lockout plunger is in its engaged position.

Abstract: A tangible, non-transitory, computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive user input indicative of a selection of a user experience of a plurality of user experiences. The plurality of user experiences include a first user experience associated with a first event that occurred in an industrial automation system at a first time prior to receiving the user input and a second user experience associated with a second event expected to occur in the industrial automation system at a second time after receiving the user input. When executed, the instructions also cause the processing circuitry to determine, based on the user input, output representative data associated with the industrial automation system and instruct an extended reality device to present the output representative data.

Abstract: Various embodiments of the present technology generally relate to solutions for improving industrial automation programming and data science capabilities with machine learning. More specifically, embodiments include systems and methods for implementing machine learning engines within industrial programming and data science environments to improve performance, increase productivity, and add functionality. In an embodiment, a system comprises a machine learning-based analysis engine configured to perform an analysis of operational data from an industrial automation environment. The analysis engine is further configured to perform an analysis of control logic and identify, based on the analysis of the operational data and the analysis of the control logic, a variable that is in the control logic but is not used in the operational data. The system further comprises a notification component configured to surface a notification that the variable is in the control logic but is not used in the operational data.

Abstract: In an embodiment, a method includes transmitting power to a media interface module via a base and receiving device information associated with any number of devices. The devices are connected to any number of communication ports of the media interface module. The method also includes configuring any number of network connections between the media interface module and the host device based on the device information. The method also includes establishing any number of communication sessions between the devices and the host device via the communication ports after the network connections are configured.

Abstract: A non-transitory, computer-readable medium includes computer-executable instructions that, when executed, by one or more processors associated with a first input/output (I/O) component in an industrial automation system, cause the processors to perform operations. The first I/O component may operate in a single duplex (“suplex”) mode of operation. The operations include detecting a second I/O component in the industrial automation system, determining that a first hardware configuration, a first software configuration, or both, associated with the first I/O component is compatible with a second hardware configuration, a second software configuration, or both, associated with the second I/O component, and reconfiguring the first I/O component to operate in a duplex mode of operation.

Abstract: A connector for receiving a ribbon cable, to be assembled via a clamping tool, is provided. The connector includes a housing, a cover, and a protection cap. The housing includes an open top and a bottom. The cover is configured to selectively cover the open top of the housing to enclose the ribbon cable within an interior of the housing. The protection cap is configured to cover the bottom of the housing. The protection cap includes a nonplanar surface with a bump, where the clamping tool contacts the cover and the bump to force the cover toward the housing when the connector is assembled.

Abstract: An industrial system includes a load control assembly, an integrated absence of voltage tester (AVT), and an absence of voltage indicator. The load control assembly has a supply input, a load output, a disconnecting device, and a load controller coupled to the load output, with the disconnecting device coupled between the supply input and the load controller. The AVT is integrated into one of the disconnecting device and the load controller, and the AVT configured to detect an absence of an operating voltage of the load control assembly. The absence of voltage indicator is coupled to the AVT and configured to indicate the absence of an operating voltage of the load control assembly detected by the AVT.

Abstract: Systems and methods for providing fault detection for input/output modules of industrial systems. One system includes a plurality of channel circuits for interfacing with industrial control equipment of an industrial system. The system also includes an electronic processor communicatively coupled to each channel circuit via a dedicated hardware communication channel. The electronic processor is configured to control a current load supply for at least one channel circuit included in the plurality of channel circuits.

Abstract: There is provided a driver-support system for use with a human-operated material-transport vehicle, and methods for using the same. The system has at least one sensor, a human-vehicle interface, and a transceiver for communicating with a fleet-management system. The system also has a processor that is configured to provide a mapping application and a localization application based on information received from the sensor. The mapping application and localization application may be provided in a single localization-and-mapping (“SLAM”) application, which may obtain input from the sensor, for example, when the sensor is an optical sensor such as a LiDAR or video camera.