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    INDUSTRIAL ASSET MODEL ROLLBACK
    71.
    发明公开
    INDUSTRIAL ASSET MODEL ROLLBACK 审中-公开

    公开(公告)号：US20240160805A1

    公开(公告)日：2024-05-16

    申请号：US18176033

    申请日：2023-02-28

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Chirayu S Shah ,  Heiko Ott ,  Adrian Dams ,  Bruce McCleave, JR.

    IPC: G06F30/20

    CPC classification number: G06F30/20

    Abstract: Industrial asset model rollback (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a model condition component that determines whether a defined revert condition, applicable to an industrial asset model, has been satisfied, and a versioning component that, in response to the defined revert condition being determined to be satisfied, reverts the industrial asset model from a second version of the industrial asset model to a first version of the industrial asset model.

    INDUSTRIAL ASSET MODEL VERSIONING CONTROL AND ACCESS
    72.
    发明公开
    INDUSTRIAL ASSET MODEL VERSIONING CONTROL AND ACCESS 审中-公开

    公开(公告)号：US20240160199A1

    公开(公告)日：2024-05-16

    申请号：US18176026

    申请日：2023-02-28

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Chirayu S Shah ,  Heiko Ott ,  Adrian Dams ,  Bruce McCleave, JR.

    IPC: G05B19/418

    CPC classification number: G05B19/41885

    Abstract: Industrial asset model versioning control and access (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a model update component that, based on a change to a first version of an industrial asset model, updates the industrial asset model, resulting in a second version of the industrial asset model, and a versioning component that stores the second version of the industrial asset model in an industrial asset model data store.

    INDUSTRIAL AUTOMATION RELATIONAL DATA EXTRACTION, CONNECTION, AND MAPPING
    73.
    发明公开
    INDUSTRIAL AUTOMATION RELATIONAL DATA EXTRACTION, CONNECTION, AND MAPPING 审中-公开

    公开(公告)号：US20240160191A1

    公开(公告)日：2024-05-16

    申请号：US18176041

    申请日：2023-02-28

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Chirayu S Shah ,  Heiko Ott ,  Adrian Dams ,  Bruce McCleave, JR.

    IPC: G05B19/418

    CPC classification number: G05B19/4185 ,  G05B19/4183

    Abstract: Industrial automation relational data extraction, connection, and mapping (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a device interface component that matches industrial relational data, accessible via an industrial asset model, to an industrial device represented in the industrial asset model, and in response to matching the industrial relational data to the industrial device, extracts the industrial relational data into the industrial asset model, and a model update component that updates the industrial asset model, resulting in an updated industrial asset model, wherein updating the industrial asset model comprises associating the industrial relational data with the industrial device.

    IMPLEMENTING DEVICE MODIFICATIONS BASED ON MACHINE LEARNING PROCESSES PERFORMED WITHIN A SECURE DEPLOYMENT SYSTEM
    74.
    发明公开
    IMPLEMENTING DEVICE MODIFICATIONS BASED ON MACHINE LEARNING PROCESSES PERFORMED WITHIN A SECURE DEPLOYMENT SYSTEM 审中-公开

    公开(公告)号：US20240160174A1

    公开(公告)日：2024-05-16

    申请号：US18107005

    申请日：2023-02-07

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Rob A. Entzminger ,  David C. Mazur ,  Nathaniel S. Sandler ,  Todd A. Wiese ,  Jonathan Alan Mills

    IPC: G05B19/042 ,  G06N20/00

    CPC classification number: G05B19/0423 ,  G06N20/00

    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.

    Maintenance grounding device in motor control center with integrated interlock system
    76.
    发明授权
    Maintenance grounding device in motor control center with integrated interlock system 有权

    公开(公告)号：US11984289B2

    公开(公告)日：2024-05-14

    申请号：US17967742

    申请日：2022-10-17

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Navinchandra Bhatt ,  Paul van Heeswyk ,  John Kay ,  Ashwin Baliga B

    IPC: H02B11/04 ,  H01H9/26 ,  H02B1/30 ,  H02B11/133 ,  H02B13/00

    CPC classification number: H01H9/26 ,  H02B1/30 ,  H02B11/04 ,  H02B11/133 ,  H02B13/005

    Abstract: A motor control center includes an enclosure comprising an isolation switch, a main contactor device, and a ground switch device. The isolation switch is selectively manually operable between a connected state and a disconnected state. In the connected state the isolation switch is adapted to conduct electrical power from an associated power source to the main contactor device and wherein the isolation switch in the disconnected state interrupts conduction of electrical power from the associated power source to the main contactor device. The main contactor device is selectively operable between a conductive state and a non-conductive state, wherein the main contactor device is adapted to electrically connect the isolation switch to the ground switch device and to an associated electrical load when the main contactor device is in its conductive state and wherein the main contactor device disconnects said isolation switch from the ground switch device and the associated electrical load when the main contactor device is in its non-conductive state. The ground switch device is manually operable from an open, ungrounded state in which the main contactor device is electrically disconnected from a ground path to a closed, grounded state in which the main contactor device is electrically connected to the ground path. The motor control center further includes an interlock device operably connected between the isolation switch and the ground switch device, wherein the interlock device prevents movement of the isolation switch from the disconnected state to the connected state when the ground switch device is in the grounded state.

    Defect detection during an automated production process
    77.
    发明授权
    Defect detection during an automated production process 有权

    公开(公告)号：US11982995B2

    公开(公告)日：2024-05-14

    申请号：US17703325

    申请日：2022-03-24

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Gregory J. Vance ,  Robert F. Trinnes ,  Mikica Cvijetinovic ,  Francisco P. Maturana

    IPC: G05B19/418 ,  G05B11/01

    CPC classification number: G05B19/418 ,  G05B11/01 ,  G05B2219/31304

    Abstract: Described herein are systems and methods for improving defect detection in an automated production process. The system comprises a memory that stores executable components and a processor, operatively coupled to the memory, that executes the executable components. The executable components comprise an automation defect component and a machine learning component. The automation defect component retrieves parametric data associated with the production process. The automation defect component provides the parametric data to a machine learning algorithm. The machine learning component generates common attributes between the defective items. The machine learning component identifies a set of common attributes shared between the defective items and a non-defective item. The machine learning component modifies the set of the common attributes shared between the defective items and the non-defective item. The machine learning component generates defect indicators based on the common attributes. The automation defect component monitors subsequent parametric data to recognize the defect indicators.

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