PARALLEL EMULATION FOR CONTROLS TESTING
    91.
    发明公开

    公开(公告)号:US20240070345A1

    公开(公告)日:2024-02-29

    申请号:US17823155

    申请日:2022-08-30

    Inventor: Bernard Brooks

    CPC classification number: G06F30/20

    Abstract: A control design and testing system simplifies the execution of parallelized control testing simulators using emulation techniques. The system is capable of emulating large and complex industrial systems using a combination of selective model partitioning, space parallel simulation, and co-simulation. According to this approach, a digital model of the industrial automation system is partitioned into sub-models such that inter-model logical relationships between the sub-models comprise only logical relationships that can tolerate a temporal error equal to or less than a duration, or timestep, of a co-simulation cycle. The sub-models are deployed to separate processing spaces, and the system uses co-simulation to execute a parallel emulation of the sub-models.

    DATA DRIVEN REMOTE SUPPORT
    95.
    发明公开

    公开(公告)号:US20240054456A1

    公开(公告)日:2024-02-15

    申请号:US18496379

    申请日:2023-10-27

    CPC classification number: G06Q10/20 G06Q10/06316 G06Q10/087

    Abstract: A non-transitory computer-readable medium includes computer-executable instructions that, when executed, cause one or more processors of a first electronic device to perform operations including sending a request for asset data associated with an asset and receiving a set of telemetry data, a set of operational data, a set of inventory data, and a set of customer data associated with the asset. In the embodiment, the method includes selecting an asset model from a set of asset models associated with the asset based on the set of telemetry data, the set of operational data, the set of inventory data, and the set of customer data, wherein each asset model of the set of asset models corresponds to a particular task performed by the asset and generating a mapping hierarchy based on the selected asset model, wherein the mapping hierarchy includes a representation of a plant layout associated with the asset.

    Systems and methods for detecting welded contacts in an electromagnetic switch system

    公开(公告)号:US11901145B2

    公开(公告)日:2024-02-13

    申请号:US17485734

    申请日:2021-09-27

    CPC classification number: H01H47/002 H01H50/18 H01H50/44

    Abstract: A non-transitory, computer-readable medium may include instructions executable by at least one processor in a computing device to cause the processor to perform operations that include transmitting, to a first power source, a command to provide power to a coil of a switching device with a fixed current profile. The operations also include receiving one or more voltage measurements associated with the coil during a period of time, determining whether the voltage measurements associated with the coil indicate that one or more movable contacts of the switching device are at least partially welded to one or more contacts of an electric circuit, and transmitting an additional command to a second power source to disconnect a current to the coil in response to determining that the voltage measurements indicate that the movable contacts of the switching device are at least partially welded to the contacts of the electric circuit.

    AI extensions and intelligent model validation for an industrial digital twin

    公开(公告)号:US11900277B2

    公开(公告)日:2024-02-13

    申请号:US17744980

    申请日:2022-05-16

    CPC classification number: G06N5/048 G06N20/10

    Abstract: Industrial smart data tags conforming to structured data types serve as the basis for creating a digital twin of an industrial asset. The digital twin can comprise an automation model and a mechanical model or other type of non-automation model, both of which reference the smart tags in connection with digitally modeling the industrial asset. The structured data topology offered by the smart tags allows the digital twin to be readily interfaced with artificial intelligence (AI) systems. AI analysis can leverage the smart tags to discover new relationships between key performance indicators and other variables of the asset and encode these relationships in the smart tags themselves. These enhanced smart tags can also be leveraged to perform AI-based validation the digital twin. Additional contextualization provided by the enhanced smart tags can simplify AI analysis and assist in quickly converging on desired analytic results.

    Multidrop make and break system
    99.
    发明授权

    公开(公告)号:US11899433B2

    公开(公告)日:2024-02-13

    申请号:US17449479

    申请日:2021-09-30

    CPC classification number: G05B19/4185 G05B19/41885 H04L12/10

    Abstract: A multidrop system configured to be installed within a motor control center (MCC) of an industrial automation system includes a trunkline. The trunkline includes multiple multidrop make and break devices connected through a trunkline cable. Each of the multidrop make and break device includes a first network component, and a second network component. The first network component is configured to form a first subnet over the trunkline. The second network component is configured to couple a MCC withdrawable unit and form a second subnet over a branchline that connects one or more nodes within the MCC withdrawable unit. The multidrop make and break device is configured to couple the MCC withdrawable unit to, and decouple the MCC withdrawable unit from, the second network component without disrupting the first subnet.

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