Abstract: A method may include receiving, via a secure deployment management (SDM) system, data associated with one or more operations of an industrial device from a secure deployment management (SDM) node associated with the industrial device. The data is received via a secure communication channel established by the SDM system with the SDM node and security protocols. The method also includes sending the data to a computerized maintenance management system (CMMS) container component may perform tasks in conjunction with a computerized maintenance management system (CMMS) process, such that the CMMS container component may communicate with the CMMS process via a first firewall through which the SDM system is incapable of communicating. The SDM system may enable the data associated with the operations to communicate with the SDM node through a second firewall between the SDM system and the SDM node, the second firewall being different from the first firewall.

Abstract: Systems and methods described herein may relate to a system that includes one or more industrial devices that perform one or more operations within an industrial automation system. One or more industrial devices may include a compute surface able to perform one or more software tasks. The system may include a processor that determines a trigger event has occurred. The processor may determine additional data and a target device based on the trigger event, where the processor may be located on a different hierarchical level as compared to the target device. The processor may determine a container to be deployed to the target device based on the container generating the additional data when deployed on the target device. The processor may deploy the container to the target device.

Abstract: Systems and methods for detecting anomalies in network communication in an industrial automation system. An anomaly detection system, a decentralized system, may identify IoT devices within the network communication and corresponding communication metrics. Using the communication metrics between the identified IoT devices, the anomaly detection system may generate a social network model that is indicative of expected network communication properties. By analyzing social network metrics and overall entropy of the network communication in real time, the anomaly detection system may identify anomalies that may be associated with potential network vulnerabilities.

Abstract: A (GUI) for designing an industrial automation system includes a design window and a first accessory window. The GUI presents a library visualization representative of a plurality of objects within the first accessory window, each object is represented by an icon and corresponds to a respective industrial automation device. The GUI receives inputs indicative of a selection of one or more objects of the plurality of objects from the library, presents the one or more objects in the design window, determines that the one or more inputs do not comply with a set of industrial automation system rules comprising one or more relationships between a plurality of industrial automation devices, and displays a warning message that the one or more inputs do not comply with the set of industrial automation system rules.

Abstract: A system includes a circuit breaker and a delay circuit. The circuit breaker has a coil to enable control of a contact to selectively couple a load to a power source responsive to a coil voltage signal applied to the coil. The delay circuit has a depletion mode MOSFET and an energy storage circuit. The depletion mode MOSFET is controlled as an active current sink to provide the coil voltage signal based on a DC voltage signal. The energy storage circuit has an input coupled to a drain of the depletion mode MOSFET, a capacitor, and an output coupled to the drain of the depletion mode MOSFET, the energy storage circuit charges the capacitor from the DC voltage signal and delivers current to the depletion mode MOSFET to delay discontinuation of the coil voltage signal responsive to a drop or discontinuation of the DC voltage signal.

Abstract: A method may include receiving, via a secure deployment management (SDM) system, data associated with operations of an industrial device from a SDM node associated with the industrial device. The data is received via a secure communication channel established by the SDM system with the SDM node and security protocols. The SDM node is communicatively coupled with a machine learning system for sending and receiving data. The machine learning system may generate an updated machine learning model based on the data and a machine learning model representative of expected outputs associated with the operations of the industrial device and generate updated configuration data based on the updated machine learning model. The method may then include receiving the updated configuration data from the SDM node via the secure communication channel and sending the updated configuration data to the industrial device without performing security operations on the updated configuration data.

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: A control system may include a processor that may receive a first dataset associated with a current received at a load device coupled to a relay device. The processor may also determine harmonics data associated with the current and determine a switching profile to control moving a first armature of three armatures in the relay device based on the harmonics data. The switching profile is configured to control movement of the first armature between a first position and a second position, and wherein the switching profile comprises a firing angle for moving the first armature with respect to an electrical waveform, a second armature, and a third armature. The processor may then control a current provided to a relay coil of the relay device based on the switching profile, such that the relay coil causes the first armature to move.

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 of the present technology 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 recommendation engine configured to, an industrial programming environment, generate a recommendation to add a component to control logic based on an existing portion of the control logic. A notification component is configured to surface the recommendation in the programming environment. A programming component is configured to, in the programming environment, add the component to the control logic.

Abstract: A method may include receiving, via a secure deployment management (SDM) system, a notification indicative of a change in configuration data associated with an industrial device from a secure deployment management (SDM) node associated with the industrial device. The notification is received via a secure communication channel established by the SDM system with the SDM node and one or more security protocols. The method also includes retrieving, via the SDM system, the configuration data associated with the industrial device from a data source in response to receiving the notification and sending, via the SDM system, the configuration data to the SDM node via the secure communication channel. The industrial device may receive the configuration data from the SDM node without performing one or more security operations on the configuration data.

Abstract: The present disclosure describes quick connect features of a mover assembly for a linear motor system. The mover assembly may include a platform and at least two movers. The movers may include a linkage feature and the platform at least two linkage elements. The movers may be removably coupled to the platform by rotating the movers relative to the platform between an engaged position and a disengaged position. In an engaged position, the linkage element of the platform may retain the linkage feature of the mover and the linkage element and the linkage feature may translationally couple the mover and the platform.

Abstract: A method may include receiving, via a secure deployment management (SDM) system, configuration data associated with an industrial device, identifying, via the SDM system, a presence of a secure deployment management (SDM) node associated with the industrial device, and establishing, via the SDM system, a secure communication channel between the SDM system and the SDM node using one or more security protocols. The method may also involve sending, via the SDM system, the configuration data to the industrial device via the secure communication channel. The industrial device may receive the configuration data without performing one or more security operations on the configuration data.

Abstract: A system and method for varying an amplitude of voltage on a DC bus by track segment in a linear drive system for an independent cart system according to application requirements is disclosed. The track includes at least a first portion and a second portion, where a DC voltage at a first amplitude is provided to the first portion of the track, and a DC voltage at a second amplitude is provided to the second portion of the track. The first amplitude of the DC voltage is selected to permit movers traveling along the track to travel at full rated speed with a full rated three applied to the mover. The second amplitude of the DC voltage is selected to permit the movers to travel at a reduced speed with full or increased three applied or to travel at full rated speed with a reduced force applied to the mover.

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 system includes a first asset and a second asset disposed at an industrial system, and a server communicatively coupled to the first asset and the second asset. The server device is configured to receive a first set of stream-based data from the first asset and generate a model for the second asset based on the first set of stream-based data, wherein the model is configured to output an expected set of stream-based data associated with the second asset; receive a second set of stream-based data from the second asset; and send a command to the first asset or the second asset in response to the second set of stream-based data being outside of a threshold from the expected set of stream-based data.

Abstract: A system includes drives that are communicatively coupled to a gateway communication device via single pair Ethernet (SPE) conductors. The gateway communication device may operate as router or a scanner to facilitate communication between the drives and components of an industrial automation system that are accessible via an Ethernet network.

Abstract: A method may include receiving, via a first computing node of a cluster of computing nodes in a container orchestration system, a pod from a second computing node in the cluster of computing nodes. The method may also involve retrieving an image file that includes containers from a registry, such that the pod detail an indication of a location of the image file in the registry. The method then involves generating a package based on the one or more containers and one or more mapped commands implementable by a control system in an operational technology (OT) domain. The mapped commands correspond to operations performable by the control system that corresponds to commands specified in the containers. The method may then involve storing the package in a filesystem shared with the control system.

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: Systems and methods for monitoring components of a manufacturing application system (e.g., MES or MOM) with respect to application-specific metrics is provided. The MES may include software or a computer system used to monitor, control, and log processes employed to transform raw materials to products in an industrial automation system. The industrial automation system may include a monitoring system that receive a first set of data associated with application-specific metrics corresponding to the manufacturing application system as well as a second set of data from components associated with the manufacturing application system. The monitoring system may store a third set of data, in which the second set of data is organized with respect to the first set of data in a database.

Abstract: A system may include a device that has one or more components that may perform one or more operations of an industrial automation system. The device may detect a change in an operation of the one or more components and generate a signal representative of the change. The system may also include one or more persistent display tags that may correspond to the one or more components. The one or more persistent display tags may receive the signal from the device and update a display in response to receiving the signal.