Abstract: Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods to surface data pipelines in an industrial automation environment. In some examples, a design component generates a control program configured for implementation by a programmable logic controller to control an industrial process. The design component adds program tags to the control program and implements the control program through the programmable logic controller. The design component establishes data pipelines that correspond to the program tags in the control program between data sources associated with the program tags and a machine learning system that consumes process data generated by the data sources. A pipeline management component generates a pipeline suggestion that indicates individual ones of the data pipelines and their corresponding program tags.

Abstract: To improve integrity of time synchronization, a node in a safety rated system verifies that its clock remains synchronized to another clock. Two adjacent, time-synchronized nodes transmit diagnostic messages to each other at an agreed upon interval and generate timestamps when the diagnostic message is received from the other node. The nodes then transmit their respective timestamp back to the sending node. Clock drift is detected by comparing a difference between the two timestamps at which the messages were received against a threshold. To avoid accidental detection of clock drift, a difference in transmission delays between the two nodes is stored in a FIFO buffer. Each node monitors the average of the data in the FIFO buffer. If the average deviates from the target value by too great a value, then the node determines the values of the clocks have skewed beyond an acceptable range and generates a fault condition.

Abstract: A motor control center (MCC) for an industrial automation system, includes an enclosure housing comprising a plurality of sections, including a first section having one or more buckets, including a first bucket, a first bus bar, a second bus bar, and a third bus bar extending horizontally across the first section along a back plane of the enclosure housing, and a first electrical component, configured to perform one or more functions of the MCC, disposed within the first bucket of the first section. The first electrical component is directly electrically coupled to the first set of bus bars such that the first electrical component draws a first phase of power from the first bus bar, a second phase of power from the second bus bar, and a third phase of power from the third bus bar.

Abstract: A method may include generating visualizations each representative of operational parameters associated with industrial devices in an industrial system via a control system that controls operations of the industrial devices. The control system is communicatively connected to a first computing system and a second computing system. The method may also include receiving a request including credentials associated with a requester from the second computing system and determining rights to each of the visualizations. Additionally, the method may include identifying one or more of the visualizations based on the access rights and receiving a selection of the one or more of the visualizations from the second computing system. Moreover, the method may include transmitting the one or more of the visualizations to the first computing system that live streams the one or more of the visualizations to the second computing system.

Abstract: A method and system for communication between a motor controller and an analytic module includes a Single Pair Ethernet interface with power supplied over the two data lines. The analytic module, in turn, connects to a motor or other devices proximate the motor. The analytic module receives input signals from the motor or different types of sensors or devices. A processing unit in the analytic module may perform some initial processing on the incoming data. The processing unit is configured to transmit either the raw input signals or processed data via the Single Pair Ethernet connection back to the motor controller or to other controllers in the system with the motor controller acting solely as a pass-through gateway. The analytic module unit may be configured to transmit data at different update rates. One of the update rates may be synchronized to an update period in the motor controller.

Abstract: For automatic device addressing, a processor configures each node device on a serial network for an order measurement. The processor further measures an order parameter for each of the node devices. The processor determines an order number of each of the node devices based on the order parameter for the node device.

Abstract: A method for generating a topology view of an industrial parallel redundancy protocol (PRP) network includes: detecting, by one or more processors, a plurality of nodes on the PRP network; determining, by the one or more processors, a first set of the plurality of nodes that connects to a first local area network (LAN); determining, by the one or more processors, a second set of the plurality of nodes that connects to a second LAN; determining, by the one or more processors, connections between the plurality of nodes; and generating, by the one or more processors, the topology view of the PRP network comprising a topology view of the first LAN and the second LAN according to the determined connections.

Abstract: A graphical user interface (GUI) for designing and monitoring an industrial automation system presents an alert based on a condition of an object corresponding to a respective industrial automation device displayed on the GUI. The GUI generates one or more suggestions for resolving the alert, including referencing a historical data set, parsing the historical data set to identify one or more previous instances in which the condition of the object occurred and was successfully resolved, and identifying one or more respective remedial actions taken in each of the one or more identified previous instances to resolve the condition. The GUI presents the one or more remedial actions as the one or more suggestions for resolving the alert, receives an input selecting one of the one or more remedial actions, and implements the selected remedial action.

Abstract: A method may include receiving, via a computing system, a request to generate one or more visualizations based on one or more datasets provided by an industrial device within an industrial system. The computing system may be communicatively coupled to the industrial device via a data backplane. The method may also involve accessing a visualization platform system in response to receiving the request, sending design data associated with the one or more visualizations to the visualization platform system, and receiving a visualization project file for execution by the computing system from the visualization platform system. The visualization project file may be generated based on the design data. The method may also include generating the one or more visualizations based on the visualization project file and presenting the one or more visualizations via an electronic display device.

Abstract: Systems and methods of visual programming for industrial systems. One system includes an electronic processor configured to generate a graphical user interface (GUI) for programming an industrial controller. The electronic processor is also configured to receive a selection of a function associated with a set of computer executable instructions. The electronic processor is also configured to generate a graphical representation of the function, the graphical representation including a set of interactive components for receiving one or more parameters specific to configuring the function. The electronic processor is also configured to receive a set of parameters for configuring the function and generate a code file for executing the function based on the set of parameters.

Abstract: A method includes using at least one processor to detect that a tool coupled to an end effector of a robot having multiple joints is contacting a surface. The robot includes multiple joint motors configured to control multiple motions of the multiple joints. One or more control systems are configured to control each of the joint motors in a joint position mode. The method also includes identifying, via the at least one processor, a first joint of the multiple joints in response to detecting that the tool is contacting the surface. The method also includes sending, via the at least one processor, a command to at least one of the one or more control systems associated with a first joint motor of the multiple joint motors that corresponds to the first joint. The command is configured to cause the at least one of the one or more control systems to operate in a torque mode. The method also includes sending, via the at least one processor, a joint torque value to the at least one of the one or more control systems.

Abstract: A system may include sensor device comprising a sensor configured to measure sensor data indicating an operational parameter of industrial automation equipment associated with an industrial automation process. The system may also include communication circuitry configured to transmit the sensor data. Additionally, the system includes a processor configured to receive the sensor data. Further, the system includes a non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause the processor to perform operations including identifying an operational state of the industrial automation equipment based on the sensor data. The operations may also include determining a discrepancy between the sensor data and the operational state. Further, the operations may include modifying an operation of the processor from a first operational mode to a second operational mode of a plurality of operational based on the comparison.

Abstract: Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods to visualize machine learning model status in an industrial automation environment. In some examples, a machine learning component receives process inputs associated with industrial devices in the industrial automated environment. The machine learning component processes the inputs to generate machine learning outputs and transfers the machine learning outputs to influence one or more functions of the industrial devices. The machine learning component reports operational data characterizing the machine learning outputs. A Human Machine Interface (HMI) component displays a visualization of the machine learning component and receives the operational data from the machine learning component.

Abstract: A computing device for collecting and preserving data acquired from various devices in a data model with the respective context of acquired data. The computing device may provide a user interface to receive the context or information model associated with a dataset. By providing data with its context, different software platforms may synthesize or analyze the retrieved data more efficiently. Moreover, the computing device may include transaction conditions to define a workflow for transferring the datasets using data model associated with one or more datasets for transmission of data to a destination. The transaction conditions may detail a custom workflow for data communication through an industrial automation system using the data model.

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: 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 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 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: 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.