Abstract: Systems and methods described herein may enable operations including receiving, from an industrial automation device associated with an industrial automation system, process-related data. The operations may include generating a subset of processed data based on processing the process-related data according to a rule. Based on the processing, the operations may include generating context data that includes an indication of the rule. By doing so, less than a whole set of industrial process-related data may be transmitted for further processing, such as to a cloud-computing system for further processing.

Abstract: Described systems and methods may enable a cloud-computing system to use data model-based analysis to manage maintenance of an industrial automation system based on life stage predictions and real-time evaluations. Based on the data model-based analyses, the cloud-computing system may instruct an industrial control system of the industrial automation system to implement recommended adjustments and/or to confirm a part replacement occurred in situ. The recommended adjustment may include a part replacement. The cloud-computing system may generate instructions to cause shipment of the part to be installed as part of the part replacement to the industrial automation system.

Abstract: Systems and methods described herein may enable a cloud-computing system to use data model-based analysis to manage maintenance of an industrial automation system based on life stage predictions and real-time evaluations. Based on the data model-based analyses, the cloud-computing system may instruct an industrial control system of the industrial automation system to implement recommended adjustments and/or to confirm a part replacement occurred in situ. After confirming a part replacement, the cloud-computing system may reset, in a memory corresponding to the replaced part, an indication of total operating time of that replaced part to reflect the part replacement, thereby bypassing an input also able to be used to reset the indication of total operating time in the memory.

Abstract: A method includes transmitting, from a computing device, a request to generate a configuration file for an industrial automation device disposed within an industrial automation system configured to perform an industrial automation process, wherein the industrial automation device is communicatively coupled to an operational technology (OT) network, transmitting, from the computing device, one or more characteristics of the industrial automation device, the industrial automation system, the industrial automation process, the OT network, or any combination thereof, receiving, at the computing device, the configuration file for the industrial automation device, wherein the configuration file for the industrial automation device was generated using one or more large language models (LLMs) based on the one or more characteristics of the industrial automation device, the industrial automation system, the industrial automation process, the OT network, or any combination thereof, and installing the configuration file

Abstract: A system for providing causal graph relationships for industrial automation systems. The system receives a first input indicative of a selection of a design artifact associated with an industrial automation system having one or more industrial automation devices, where the design artifact defines an industrial automation project configured to control operations of the one or more industrial automation devices. In response to the first input, the system parses the design artifact to identify causal relationships between the one or more industrial automation devices, stores data indicative of the identified causal relationships in a database, and generates causal graphs based on the stored data. The system receives a second input indicative of a request to generate a custom view of the industrial automation system, and generates a custom view of the industrial automation system in response to the second input, where the custom view includes the causal graphs.

Abstract: A method includes receiving an indication of an inspection of an industrial automation device being triggered, displaying, via a display of a mobile computing device, instructions for performing the inspection of the industrial automation device, receiving, via one or more sensors of the mobile computing device, one or more sensors communicatively coupled to the mobile computing device, or both, inspection data associated with the industrial automation device, processing the inspection data associated with the industrial automation device to generate results of the inspection of the industrial automation device, and displaying, via the display of the mobile computing device, the results of the inspection of the industrial automation device.

Abstract: In a container orchestration environment implemented in an industrial automation environment, a new industrial automation component (e.g., device or software) attaches to an industrial automation network, and a pod of the container orchestration environment detects the attachment. In response, the pod creates a new pod representing the new industrial automation component by determining a type of the new industrial automation component, identifying functionality specific to the industrial automation component based on the type, provisioning software to implement the functionality, and generating a pod with containers for the software. The pod couples interfaces in the software to interfaces of the new industrial automation component and exposes the pod in the container orchestration environment, allowing the industrial automation component to participate in the container orchestration system.

Abstract: An electronic failure detector includes an electronic processor having processor inputs and processor outputs, a memory connected to one of the inputs, a logic circuit having logic circuit inputs and logic circuit outputs, the logic circuit inputs and logic circuit outputs being connected to others of the processor inputs, and instructions, stored within the non-volatile memory, for causing the processor to perform a logic check of the logic circuit and to generate a first signal on the processor output if said logic check is true, and to generate a second signal on the processor output if said logic check is false.