AGGREGATE AND CORRELATE DATA FROM DIFFERENT TYPES OF SENSORS

    公开(公告)号:US20230054784A1

    公开(公告)日:2023-02-23

    申请号:US17406309

    申请日:2021-08-19

    Abstract: A method for correlating data from sensors includes receiving sensor information from a plurality of sensors of an industrial operation. Sensor information from component sensors is used for functionality of a component of the industrial operation and sensor information from additional sensors monitor conditions of a portion of the industrial operation different from the component. The method includes deriving, using the sensor information, correlations between component sensors and additional sensors and deriving a baseline signature from the sensor information and the correlations. The baseline signature encompasses a range of normal operating conditions. The method includes identifying an abnormal operating condition based on a comparison between additional sensor information and the baseline signature. The sensor information is used differently for functionality of the component than for deriving the correlations and baseline signature and identifying the abnormal operating condition. The method includes sending an alert with the abnormal operating condition.

    Product lifecycle management
    2.
    发明授权

    公开(公告)号:US12147944B2

    公开(公告)日:2024-11-19

    申请号:US17469397

    申请日:2021-09-08

    Abstract: A method for correlating data from different sensors for product lifecycle management includes receiving sensor information from an additional sensor of a plurality of sensors of an industrial operation. The additional sensor is different from component sensors used for functionality of a component of the industrial operation. Sensor information from the additional sensor monitors conditions of a portion of the industrial operation different from sensor information of the component sensors used for the functionality of the component. The method includes deriving, using the sensor information, a correlation between an operational parameter of the component and sensor information of the additional sensor. The operational parameter is related to a predicted operational lifetime of the component. The method includes identifying an abnormal operating condition of the component based on a comparison between additional sensor information from the additional sensor and the operational parameter, and sending an alert with the abnormal operating condition.

    Aggregate and correlate data from different types of sensors

    公开(公告)号:US11830341B2

    公开(公告)日:2023-11-28

    申请号:US17406309

    申请日:2021-08-19

    CPC classification number: G08B21/182 G01M99/005 G05B19/4155 G05B2219/31449

    Abstract: A method for correlating data from sensors includes receiving sensor information from a plurality of sensors of an industrial operation. Sensor information from component sensors is used for functionality of a component of the industrial operation and sensor information from additional sensors monitor conditions of a portion of the industrial operation different from the component. The method includes deriving, using the sensor information, correlations between component sensors and additional sensors and deriving a baseline signature from the sensor information and the correlations. The baseline signature encompasses a range of normal operating conditions. The method includes identifying an abnormal operating condition based on a comparison between additional sensor information and the baseline signature. The sensor information is used differently for functionality of the component than for deriving the correlations and baseline signature and identifying the abnormal operating condition. The method includes sending an alert with the abnormal operating condition.

    Security and safety of an industrial operation using opportunistic sensing

    公开(公告)号:US12206684B2

    公开(公告)日:2025-01-21

    申请号:US17471783

    申请日:2021-09-10

    Abstract: A method for security and safety of an industrial operation includes receiving sensor information from a plurality of sensors of an industrial operation. Sensor information from at least a portion of the plurality sensors is used for functionality of a plurality of components of the industrial operation. The method includes monitoring data traffic of the industrial operation, and deriving a baseline signature from the sensor information. The baseline signature encompasses a range of normal operating conditions. The method includes identifying an abnormal operating condition of the industrial operation based on a comparison between additional sensor information from the plurality of sensors and the baseline signature and identifying an abnormal data traffic condition. The method includes determining that the abnormal operating condition correlates to the abnormal data traffic condition, and sending a security alert in response to determining that the abnormal operating condition correlates to the abnormal data traffic condition.

    SECURITY AND SAFETY OF AN INDUSTRIAL OPERATION USING OPPORTUNISTIC SENSING

    公开(公告)号:US20230078632A1

    公开(公告)日:2023-03-16

    申请号:US17471783

    申请日:2021-09-10

    Abstract: A method for security and safety of an industrial operation includes receiving sensor information from a plurality of sensors of an industrial operation. Sensor information from at least a portion of the plurality sensors is used for functionality of a plurality of components of the industrial operation. The method includes monitoring data traffic of the industrial operation, and deriving a baseline signature from the sensor information. The baseline signature encompasses a range of normal operating conditions. The method includes identifying an abnormal operating condition of the industrial operation based on a comparison between additional sensor information from the plurality of sensors and the baseline signature and identifying an abnormal data traffic condition. The method includes determining that the abnormal operating condition correlates to the abnormal data traffic condition, and sending a security alert in response to determining that the abnormal operating condition correlates to the abnormal data traffic condition.

    PRODUCT LIFECYCLE MANAGEMENT
    6.
    发明申请

    公开(公告)号:US20230071455A1

    公开(公告)日:2023-03-09

    申请号:US17469397

    申请日:2021-09-08

    Abstract: A method for correlating data from different sensors for product lifecycle management includes receiving sensor information from an additional sensor of a plurality of sensors of an industrial operation. The additional sensor is different from component sensors used for functionality of a component of the industrial operation. Sensor information from the additional sensor monitors conditions of a portion of the industrial operation different from sensor information of the component sensors used for the functionality of the component. The method includes deriving, using the sensor information, a correlation between an operational parameter of the component and sensor information of the additional sensor. The operational parameter is related to a predicted operational lifetime of the component. The method includes identifying an abnormal operating condition of the component based on a comparison between additional sensor information from the additional sensor and the operational parameter, and sending an alert with the abnormal operating condition.

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