Device control using processed sensor data corresponding to unexpected operations

    公开(公告)号:US12204312B2

    公开(公告)日:2025-01-21

    申请号:US18366426

    申请日:2023-08-07

    Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, cause a processor to perform operations including receiving a first dataset from a first automation component, the first dataset corresponds to raw data acquired by a first sensor; receiving a second dataset from a second automation component, the second dataset corresponds to raw data acquired by a second sensor; receiving data indicating an expected operation related to operations of an industrial automation system including the first and second automation components; determining a signature based on the first and second datasets and the data indicating the expected operation, wherein the signature indicates an unexpected operation as compared to the expected operation; performing a root cause analysis using the signature to determine a relationship indicating a first set of changes of the first dataset corresponding to a second set of changes in the data indicating the expected operation.

    Device control using processed sensor data corresponding to unexpected operations

    公开(公告)号:US11762371B1

    公开(公告)日:2023-09-19

    申请号:US17734670

    申请日:2022-05-02

    CPC classification number: G05B19/4155 G05B2219/31368

    Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, cause a processor to perform operations including receiving a first dataset from a first automation component, the first dataset corresponds to raw data acquired by a first sensor; receiving a second dataset from a second automation component, the second dataset corresponds to raw data acquired by a second sensor; receiving data indicating an expected operation related to operations of an industrial automation system including the first and second automation components; determining a signature based on the first and second datasets and the data indicating the expected operation, wherein the signature indicates an unexpected operation as compared to the expected operation; performing a root cause analysis using the signature to determine a relationship indicating a first set of changes of the first dataset corresponding to a second set of changes in the data indicating the expected operation.

    SYSTEMS AND METHODS FOR MONITORING AND ADJUSTING OPERATION OF A MOVER SYSTEM

    公开(公告)号:US20240094718A1

    公开(公告)日:2024-03-21

    申请号:US17947779

    申请日:2022-09-19

    CPC classification number: G05B19/4189 G05B2219/35499 G05B2219/45054

    Abstract: A non-transitory computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive a first dataset associated with a mover system having a track and a plurality of mover assemblies independently movable along the track, identify a subset of the first dataset associated with a normal operating state of the mover system based on state data associated with the mover system, receive a second dataset associated with the mover system after receiving the first dataset and having a first set of differences from the subset of the first dataset, determine whether the second dataset is indicative of an anomaly state of the mover system based on a relationship between an anomaly signature dataset and the second dataset, and adjusting operation of the mover system in response to determining that the second dataset corresponds to the anomaly signature dataset.

    DEVICE CONTROL USING PROCESSED SENSOR DATA CORRESPONDING TO UNEXPECTED OPERATIONS

    公开(公告)号:US20240019847A1

    公开(公告)日:2024-01-18

    申请号:US18366426

    申请日:2023-08-07

    CPC classification number: G05B19/4155 G05B2219/31368

    Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, cause a processor to perform operations including receiving a first dataset from a first automation component, the first dataset corresponds to raw data acquired by a first sensor; receiving a second dataset from a second automation component, the second dataset corresponds to raw data acquired by a second sensor; receiving data indicating an expected operation related to operations of an industrial automation system including the first and second automation components; determining a signature based on the first and second datasets and the data indicating the expected operation, wherein the signature indicates an unexpected operation as compared to the expected operation; performing a root cause analysis using the signature to determine a relationship indicating a first set of changes of the first dataset corresponding to a second set of changes in the data indicating the expected operation.

    Automated monitoring and control using updated streaming decision tree

    公开(公告)号:US12210326B2

    公开(公告)日:2025-01-28

    申请号:US18419161

    申请日:2024-01-22

    Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause a processor to perform operations that include receiving process input data associated with one or more automation devices, determining a plurality of operating conditions corresponding to the one or more automation devices; clustering the process input data based on the plurality of operating conditions, receiving a decision tree representative of the plurality of operating conditions and corresponding process input data, determining a splitting criterion for one or more nodes of the decision tree based on the clustered process input data, wherein the splitting criterion is configured to link the process input data to at least two operating conditions based on the decision tree, generating control logic for the one or more automation devices based on the decision tree and splitting criterion, and sending the control logic to the one or more automation devices.

    Automated monitoring and control using augmented streaming decision tree

    公开(公告)号:US11886152B2

    公开(公告)日:2024-01-30

    申请号:US17374644

    申请日:2021-07-13

    CPC classification number: G05B13/042 G05B13/028 G05B13/048 G06N5/01

    Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause a processor to perform operations that include receiving operational parameters for one or more automation devices, wherein the one or more automation devices are configured to implement control logic generated based on a decision tree. The operations also include receiving an output by the decision tree based on the operational parameters. Further, the operations include determining the output is an anomalous output based on a constraint associated with the decision tree. Further still, the operations include generating an updated decision tree based on the anomalous output. Even further, the operations include generating updated control logic for the one or more automation devices based on the updated decision tree. Even further, the operations include sending the updated control logic to the one or more automation devices.

    AUTOMATED MONITORING DIAGNOSTIC USING AUGMENTED STREAMING DECISION TREE

    公开(公告)号:US20230013626A1

    公开(公告)日:2023-01-19

    申请号:US17374644

    申请日:2021-07-13

    Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause a processor to perform operations that include receiving operational parameters for one or more automation devices, wherein the one or more automation devices are configured to implement control logic generated based on a decision tree. The operations also include receiving an output by the decision tree based on the operational parameters. Further, the operations include determining the output is an anomalous output based on a constraint associated with the decision tree. Further still, the operations include generating an updated decision tree based on the anomalous output. Even further, the operations include generating updated control logic for the one or more automation devices based on the updated decision tree. Even further, the operations include sending the updated control logic to the one or more automation devices.

    AUTOMATED MONITORING DIAGNOSTIC USING AUGMENTED STREAMING DECISION TREE

    公开(公告)号:US20250155855A1

    公开(公告)日:2025-05-15

    申请号:US19022600

    申请日:2025-01-15

    Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause a processor to perform operations that include receiving operational parameters for one or more automation devices, wherein the one or more automation devices are configured to implement control logic generated based on a decision tree. The operations also include receiving an output by the decision tree based on the operational parameters. Further, the operations include determining the output is an anomalous output based on a constraint associated with the decision tree. Further still, the operations include generating an updated decision tree based on the anomalous output. Even further, the operations include generating updated control logic for the one or more automation devices based on the updated decision tree. Even further, the operations include sending the updated control logic to the one or more automation devices.

    AUTOMATED MONITORING DIAGNOSTIC USING AUGMENTED STREAMING DECISION TREE

    公开(公告)号:US20240160163A1

    公开(公告)日:2024-05-16

    申请号:US18419161

    申请日:2024-01-22

    CPC classification number: G05B13/042 G05B13/028 G05B13/048 G06N5/01

    Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause a processor to perform operations that include receiving operational parameters for one or more automation devices, wherein the one or more automation devices are configured to implement control logic generated based on a decision tree. The operations also include receiving an output by the decision tree based on the operational parameters. Further, the operations include determining the output is an anomalous output based on a constraint associated with the decision tree. Further still, the operations include generating an updated decision tree based on the anomalous output. Even further, the operations include generating updated control logic for the one or more automation devices based on the updated decision tree. Even further, the operations include sending the updated control logic to the one or more automation devices.

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