Rockwell Automation

A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.

A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.

The present technology relates to soft-starts of alternating current (AC) motors, and particularly, to controlling a soft-start of an AC motor using a configuration of transistors and diodes. A system may include processing circuitry and gating circuitry. The gating circuitry may include a first transistor coupled to an AC voltage supply, a second transistor coupled to the first transistor and to an AC motor, a first diode coupled across current path terminals of the first transistor, and a second diode coupled across current path terminals of the second transistor. The processing circuitry may be configured to monitor voltage and current of the AC voltage supply and provide gating signals to the control terminals of the first and second transistors to control operations of the first and second transistors based at least in part on one or more desired firing angles and the voltage or current of the AC voltage supply.

A system and method for transferring data between safety controllers during qualification establishes a dedicated communication channel between a first communication core executing in a first safety controller and a second communication core executing in a second safety controller. Safety data is prepared for transfer between the first and second safety controllers. Parameters for the dedicated communication channel are transferred from the first communication core to a first safety core executing in the first safety controller. The safety data is transferred from the first safety core to a second safety core executing in the second safety controller. The safety data received at the second safety controller is verified with the second safety core. Operation of a safety task is enabled in tandem on the first safety core and the second safety core upon successful transfer of the safety data from the first safety controller to the second safety controller.

An independent cart system with reduced particulate generation includes a mover configured to travel along a track. The mover includes wheels mounted to the mover, multiple sealing elements, and multiple dampening elements. Each wheel is operative to engage the track as the mover travels along the track, and each wheel includes a rolling bearing. At least one of the sealing elements is mounted adjacent to each rolling bearing for the wheels to prevent particulate generated by the rolling bearing from leaving the mover. The dampening elements reduce vibration on the mover as the mover travels along the track. A platform is mounted to an upper surface of a drive block for each mover by a fastener. At least one rolling bearing is mounted between the fastener and either the platform or the drive block.

An industrial remote support system acts as an interactive assistant that leverages generative augmented reality (AR) and artificial intelligence (AI) techniques to provide dynamic support information for industrial assets. The system can suggest solutions to performance problems based on earlier documented solutions, thereby expediting the process of finding resolutions. Users can submit information about the industrial asset for which support is requested via an optical or data scan of the asset using an AR-capable client device. The system enhances a user's prompt with relevant contextual data retrieved from stored documentation as well as relevant past chat histories to assist the system's generative AI model in recommending accurate resolutions to alarm conditions or performance issues described by the user's prompt.

A human-machine interface (HMI) development system leverages a generative Al model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.

An industrial digital insights system acts as an interactive assistant that leverages generative artificial intelligence (AI) techniques to suggest solutions to industrial alarm conditions or other performance problems based on earlier documented solutions, thereby expediting the process of finding alarm resolutions. The system enhances a user's prompt with relevant contextual data retrieved from stored documentation as well as relevant past chat histories to assist the system's generative AI model in recommending accurate resolutions to alarm conditions or performance issues described by the user's prompt. The system can also leverage generative AI to formulate and present proactive asset management recommendations based on analysis of the customer's assets and their usage.

Systems, methods, and media for implementing updates in a control system without losing safety functionality. An example method includes halting execution of a safety function on a secondary control device; updating the secondary control device while the execution of the safety function is halted on the secondary control device; synchronizing second safety data associated with the safety function and stored in memory of the secondary control device with first safety data associated with the safety function and stored in memory of a primary control device after updating the secondary control device; and restarting the execution of the safety function on the secondary control device after synchronizing the second safety data with the first safety data.

A non-transitory computer readable medium stores instructions that, when executed by processing circuitry, cause the processing circuitry to receive, from a server, a discovery driver that enables an endpoint management agent running on the processing circuitry to perform discovery of devices, software, or both, running on a subnet of an operational technology (OT) network, execute the discovery driver, receive, from the server, a command to perform the discovery of the devices, the software, or both, running on the subnet of the OT network, via the discovery driver, transmit, on the subnet, based on the command, a first discovery query in a first protocol, receive, in response to the first discovery query, first discovery data, transmit, on the subnet, based on the command, a second discovery query in a second protocol, receive, in response to the second discovery query, second discovery data, and transmit, to the server, the first and second discovery data.