Abstract: A system may include drives that are communicatively coupled to and/or control I/O devices via communication option cards. The drives and/or the communication option cards may include a logic engine to control internal I/O devices and external I/O devices via single pair Ethernet (SPE) conductors accessible via an Ethernet network.

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: Systems and methods for monitoring a self-driving vehicle are presented. The system comprises a camera, a processor, a communications transceiver, a computer-readable medium, and a display device. The processor can be configured to receive an image of a self-driving vehicle from the camera, and vehicle information from the self-driving vehicle. A graphic comprising the image of the self-driving vehicle and a visual representation of the vehicle information is then displayed on the display device. The vehicle information may comprise any or all of vehicle-status information, vehicle-mission information, vehicle-metric information, and vehicle-environment information.

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: 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 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: 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 (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 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: 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: 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 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: 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: Systems and methods for monitoring a fleet of self-driving vehicles are disclosed. The system comprises one or more self-driving vehicles having at least one sensor for collecting current state information, a fleet-management system, and computer-readable media for storing reference data. The method comprises autonomously navigating a self-driving vehicle in an environment, collecting current state information using the vehicle's sensor, comparing the current state information with the reference data, identifying outlier data in the current state information, and generating an alert based on the outlier data. A notification based on the alert may be sent to one or more monitoring devices according to the type and severity of the outlier.

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: 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: An industrial integrated development environment (IDE) is designed to execute on a cloud-platform or a web-based platform. The IDE includes a library of device profiles that render graphical device configuration interfaces for reading and writing values of device parameters. To ensure correct binding of an instance of a device profile invoked on a client device and the corresponding physical device on the plant floor during runtime, the IDE system assigns a unique session identifier to each communication channel between a client-side profile instance and the corresponding physical device.

Abstract: A system for remote viewing and control of self-driving vehicles includes: an execution subsystem for deployment at an execution location containing a self-driving vehicle. The execution subsystem includes: a capture assembly to capture multimedia data depicting the execution location, and a server to receive the multimedia data and transmit the multimedia data for presentation at an operator location remote from the execution location. The server relays operational commands and operational status data between the self-driving vehicle and the operator location. The system includes an operator subsystem for deployment at the operator location, including: a display assembly, and a computing device to: (a) establish a connection with the server; (b) receive the multimedia data from the server and control the display assembly to present the multimedia data; and (c) receive control commands and transmit the control commands to the server for execution by the self-driving vehicle.

Abstract: An industrial development hub (IDH) supports industrial development and testing capabilities that are offered as a cloud-based service. The IDH comprises an enhanced storage platform and associated design tools that serve as a repository on which customers can store control project code, device configurations, and other digital aspects of an industrial automation project. The IDH system can facilitate discovery and management of digital content associated with control systems, and can be used for system backup and restore, code conversion, and version management. The IDH also supports storage and instantiation of virtual machine images preconfigured with digital engineering applications that can be instantiated and executed remotely as part of a digital engineering services framework.

Abstract: Systems and methods for autonomous provision replenishment are disclosed. Parts used in a manufacturing process are stored in an intermediate stock queue. When the parts are consumed by the manufacturing process and the number of parts in the queue falls below a threshold, a provision-replenishment signal is generated. One or more self-driving material-transport vehicles, a fleet-management system, and a provision-notification device.