Abstract: A method may include receiving an indication of an available updated container. The method may also involve identifying one or more compute surfaces comprising a first container and a second container that correspond to the available container, such that the first container may control one or more operations of an operational technology (OT) device. The method may also include scheduling a deployment of the updated container to replace the second container, receiving expected output data associated with a digital model associated with the OT device, and scheduling a switchover of control of the one or more operations to the second container based on the expected output data.

Abstract: An industrial automation system may include a first computing device that may receive operational technology (OT) data from industrial automation devices of an industrial automation system, determine identities of the industrial automation devices based on the OT data, determine that the OT data includes data attributes having variations as compared to additional OT data, transmit the identifiers and the data attributes to a second computing device in response to determining that the data attributions have the variations, receive containers including updated digital representations of the industrial automation devices from the second computing device, execute the containers to output additional data attributes, and send commands to the industrial automation devices to modify processes based the additional data attributes.

Abstract: Techniques to facilitate adaptive optimization and control of flotation cell processing are disclosed herein. In at least one implementation, a computing system receives a plurality of flotation cell process variables associated with a flotation cell process. The flotation cell process variables are fed into a machine learning model associated with the flotation cell process to determine improved settings for the flotation cell process. The improved settings for the flotation cell process are provided to an industrial controller that controls at least one aspect of the flotation cell process to improve the flotation cell process.

Abstract: A method may involve receiving, via at least one processor, a request from an industrial component operating in an industrial automation system, such that the request may include an indication of a software function. The method may then involve querying a container registry having a plurality of container images based on the software function, identifying at least one container image of the plurality of container images that corresponds to the software function, sending an indication of the at least one container image to the industrial component, and receiving a selection of the at least one container image from the industrial component. The method may also involve retrieving the at least one container image from the container registry and sending the at least one container image to the industrial component.

Abstract: An industrial automation device includes processing circuitry and a non-transitory computer-readable medium having instructions that, when executed by the processing circuitry, cause the processing circuitry to execute a software container and receive, at the software container, a first set of data having raw data from one or more industrial automation devices communicatively coupled to the industrial automation device. When executed, the instructions also cause the processing circuitry to pre-process the first set of data using the software container to generate a second set of data and send the second set of data to a second industrial automation device communicatively coupled to the first industrial automation device.

Abstract: An industrial automation device includes first processing circuitry configured to perform a first set of operations associated with controlling the industrial automation device or one or more industrial automation devices communicatively coupled to the industrial automation device. The industrial automation device includes input/output circuitry communicatively couplable to an electronic device having second processing circuitry that is configured to execute computer-readable instructions to execute a software container and receive, in the software container, data from the industrial automation device, the one or more industrial automation devices, or both. The second processing circuitry executes the computer-readable instructions to perform, using the software container, a second set of operations associated with controlling the industrial automation device or the one or more industrial automation devices.

Abstract: A non-transitory computer-readable medium stores instructions that, when executed by a processor, cause the processor to receive, via the processor, a characteristic of data to be collected from an operational technology (OT) device disposed within an OT network associated with an industrial automation system configured to perform an industrial automation process, determine, via the processor, that the characteristic exceeds a threshold value, and deploy, via the processor, in response to determining that the characteristic exceeds the threshold value, a container to a compute surface within the OT network that is disposed within a threshold distance of the OT device. The container is configured to receive the data from the OT device and process the received data.

Abstract: An industrial automation device includes processing circuitry and a non-transitory computer-readable medium that includes instructions that, when executed by the processing circuitry of the industrial automation device, cause the processing circuitry to execute a software container and receive, at the software container, data from one or more industrial automation devices communicatively coupled to the industrial automation device. The instructions, when executed, also cause the processor to determine, using the software container, one or more control operations for the industrial automation device or the one or more industrial automation devices based on the data. Furthermore, the instructions, when executed, cause the processor to cause the industrial automation device to perform the one or more control operations or send the one or more control operations to the one or more industrial automation devices.

Abstract: Techniques for data transmission within an industrial automation system include modeling or simulating, in accordance with a model, a plurality of devices performing one or more operations in an industrial automation system, determining, for a first operation of the one or more operations and from a plurality of categories, a category for the first operation, sending a request to the industrial automation system for data associated with the first operation at a time, wherein the data and time are determined based on the category of the first operation, receiving, from the industrial automation system, the requested data, and modifying the model based on the received data.

Abstract: A method may involve receiving, via at least one processor, a request from an industrial component operating in an industrial automation system, such that the request may include an indication of a software function. The method may then involve querying a container registry having a plurality of container images based on the software function, identifying at least one container image of the plurality of container images that corresponds to the software function, sending an indication of the at least one container image to the industrial component, and receiving a selection of the at least one container image from the industrial component. The method may also involve retrieving the at least one container image from the container registry and sending the at least one container image to the industrial component.

Abstract: Embodiments of this present disclosure may include systems that perform operations including receiving a first symbol instance from an industrial automation device. The first template object instance may characterize a dataset accessible to the industrial automation device. Symbol object instances may inherit a categorization with respect to categories associated with the industrial automation device including an identity, a state, a runtime status, a maintenance status, sustainability information, or any combination thereof. The operations may include receiving a first input corresponding to the first symbol object instance. The first input may include an indication of a change to the original symbolic definition. The operations may include identifying a type of the industrial automation device based on the first symbol object instance and generating enhanced template data based on the type of the industrial automation device, the first input, and the first symbol object instance.

Abstract: Techniques for data transmission within an industrial automation system include modeling or simulating, in accordance with a model, a plurality of devices performing one or more operations in an industrial automation system, determining, for a first operation of the one or more operations and from a plurality of categories, a category for the first operation, sending a request to the industrial automation system for data associated with the first operation at a time, wherein the data and time are determined based on the category of the first operation, receiving, from the industrial automation system, the requested data, and modifying the model based on the received data.

Abstract: A non-transitory computer-readable medium includes instructions that, when executed by processing circuitry, cause the processing circuitry to receive, from an edge device of an industrial automation system, data indicative of a type of one or more devices in the industrial automation system, one or more types of data generated by the one or more devices, one or more components included in the one or more devices, firmware of the one or more devices, or any combination thereof. When executed, the instructions also cause the processing circuitry to identify, based on the received data, either a firmware update for the industrial automation system or, from a container repository, a container that is implementable on the edge device. Additionally, when executed, the instructions cause the processing circuitry to cause a container image for the container or firmware update for the firmware to be sent to the edge device.

Abstract: A method may include receiving an indication of an available updated container. The method may also involve identifying one or more compute surfaces comprising a first container and a second container that correspond to the available container, such that the first container may control one or more operations of an operational technology (OT) device. The method may also include scheduling a deployment of the updated container to replace the second container, receiving expected output data associated with a digital model associated with the OT device, and scheduling a switchover of control of the one or more operations to the second container based on the expected output data.

Abstract: A cloud computing system receives data associated with a component of an industrial automation system, wherein the data identifies a supplier of the component, and a location of the component within the industrial automation system, updates a registry for the industrial automation system based on the received data, generates a mapping between the industrial automation system and the component of the industrial automation system, wherein the mapping is indicative of the supplier, the location, or both, models the component performing one or more operations in the industrial automation system based on the received data, the registry, and the mapping, determines a recommended action for the industrial automation system based on the model, the received data, the registry, and the mapping, and transmits the recommended action to a computing device.

Abstract: An industrial automation system may include a first computing device that may receive operational technology (OT) data from industrial automation devices of an industrial automation system, determine identities of the industrial automation devices based on the OT data, determine that the OT data includes data attributes having variations as compared to additional OT data, transmit the identifiers and the data attributes to a second computing device in response to determining that the data attributions have the variations, receive containers including updated digital representations of the industrial automation devices from the second computing device, execute the containers to output additional data attributes, and send commands to the industrial automation devices to modify processes based the additional data attributes.

Abstract: A system for performing industrial automation control may include a first device that generates a first set of data formatted according to a first protocol and a second device that generates an automation command. The automation command may control the first device based on the first set of data. The second device may interpret data formatted according to a second protocol. The system may include a broker system coupled between the first device and the second device to transform data communicated between the devices, such as the first set of data, the automation command, or both. For example, the broker system may transmit a set of data generated to communicate the first set of data to the second device formatted according to the second protocol as opposed to being formatting according to the first protocol.

Abstract: Embodiments of this present disclosure may include systems that perform operations including receiving a first symbol instance from an industrial automation device. The first template object instance may characterize a dataset accessible to the industrial automation device. Symbol object instances may inherit a categorization with respect to categories associated with the industrial automation device including an identity, a state, a runtime status, a maintenance status, sustainability information, or any combination thereof. The operations may include identifying a type of the industrial automation device based on the first symbol instance and generating template data based on the type of the industrial automation device and the first symbol instance. The template data may include values associated with the dataset and the categories associated with the first symbol instance. The operations may also include sending a control signal to the industrial automation device based on the template data.

Abstract: Embodiments of this present disclosure may include systems that perform operations including receiving a request to access data associated with an industrial automation device from a requesting device and identifying the industrial automation device based on the request. The operations may include sending a query for template data to the industrial automation device based on the request and receiving the template data. The operations may include determining a data structure based on the requesting device and generating the data structure based on the template data and a mapping between the data structure and the template data. The operations may additionally include sending the data structure to the requesting device.

Abstract: Embodiments of this present disclosure may include systems that perform operations including receiving a request to access data of an industrial automation device from a requesting device and identifying the industrial automation device based on the request. The operations may include sending a query for template data to the industrial automation device based on the request and symbolic data operations. The template data may include one or more instantaneous values associated with the industrial automation device. The operations may include sending the template data to the requesting device.