Industrial plant monitoring
    1.
    发明授权

    公开(公告)号:US11971706B2

    公开(公告)日:2024-04-30

    申请号:US17796698

    申请日:2021-01-29

    Applicant: BASF SE

    CPC classification number: G05B19/41875 G05B2219/37591

    Abstract: The present teachings relate to a method comprising a plurality of sensors, and one or more functionally connected processing units, the method comprising: providing, at any of the one or more processing units, time-series residual data of a sensor object; the sensor object being a group of at least some of the sensors from the plurality of sensors, and wherein the residual data comprises, for each of the sensors of the sensor object, a residue signal which is a difference between the sensor's measured output and the sensor's expected output, monitoring, via any of the one or more processing units, a level signal; wherein the level signal is indicative of a collective time-based variation of the time-series residual data, monitoring, via any of the one or more processing units, an association signal; wherein the association signal is indicative of the variation and/or association structure of the time-series residual data, generating, via any of the one or more processing units, an anomaly event signal when at a given time a value of the level signal and/or a value of the association signal changes from an expected value of the respective signal at or around that time. The present teachings also relate to a monitoring and/or control system for a plant comprising a plurality of sensors, wherein the system comprises one or more processing units configured to perform the method steps of any of the steps herein disclosed, and a computer software product.

    Industrial Plant Monitoring
    2.
    发明申请

    公开(公告)号:US20230053545A1

    公开(公告)日:2023-02-23

    申请号:US17796698

    申请日:2021-01-29

    Applicant: BASF SE

    Abstract: The present teachings relate to a method comprising a plurality of sensors, and one or more functionally connected processing units, the method comprising: providing, at any of the one or more processing units, time-series residual data of a sensor object; the sensor object being a group of at least some of the sensors from the plurality of sensors, and wherein the residual data comprises, for each of the sensors of the sensor object, a residue signal which is a difference between the sensor's measured output and the sensor's expected output, monitoring, via any of the one or more processing units, a level signal; wherein the level signal is indicative of a collective time-based variation of the time-series residual data, monitoring, via any of the one or more processing units, an association signal; wherein the association signal is indicative of the variation and/or association structure of the time-series residual data, generating, via any of the one or more processing units, an anomaly event signal when at a given time a value of the level signal and/or a value of the association signal changes from an expected value of the respective signal at or around that time. The present teachings also relate to a monitoring and/or control system for a plant comprising a plurality of sensors, wherein the system comprises one or more processing units configured to perform the method steps of any of the steps herein disclosed, and a computer software product.

    Hardenable polymer composition
    4.
    发明授权

    公开(公告)号:US11098151B2

    公开(公告)日:2021-08-24

    申请号:US16340761

    申请日:2017-10-13

    Applicant: BASF SE

    Abstract: The present invention relates to a hardenable polymer composition containing at least one acrylate compound, at least one silyl-terminated polymer and at least one photoinitiator, to the use of the polymer composition as or in an adhesive, a sealant, gasket, knifing filler or coating composition, and to an adhesive composition, a sealant composition, a gasket composition, a knifing filler composition or a coating composition comprising the polymer composition.

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