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    Grid status monitoring system
    1.
    发明授权
    Grid status monitoring system 有权

    公开(公告)号：US11860212B1

    公开(公告)日：2024-01-02

    申请号：US18214038

    申请日：2023-06-26

    Applicant: SAS Institute Inc.

    Inventor： Thomas Dale Anderson ,  Priyadarshini Sharma ,  Mark Joseph Konya ,  Yuwei Liao

    IPC: G01R31/08 ,  G06Q30/01 ,  H02J13/00

    CPC classification number: G01R31/086 ,  G06Q30/01 ,  H02J13/00002

    Abstract: A computer monitors a status of grid devices using sensor measurements. Sensor data is clustered using a predefined grouping distance value to define one or more sensor event clusters. A plurality of monitored devices is clustered using a predefined clustering distance value to define one or more asset clusters. A location is associated with each monitored device of the plurality of monitored devices. A distance is computed between each sensor event cluster and each asset cluster. When the computed distance is less than or equal to a predefined asset/sensor distance value for a sensor event cluster and an asset cluster, an asset identifier of the asset cluster associated with the computed distance is added to an asset event list. For each asset cluster included in the asset event list, an asset location of an asset is shown on a map in a graphical user interface presented in a display.

    Diagnostic techniques for monitoring physical devices and resolving operational events
    3.
    发明授权
    Diagnostic techniques for monitoring physical devices and resolving operational events 有权

    公开(公告)号：US11322976B1

    公开(公告)日：2022-05-03

    申请号：US17501218

    申请日：2021-10-14

    Applicant: SAS Institute Inc.

    Inventor： Thomas Dale Anderson ,  Priyadarshini Sharma ,  Mark Joseph Konya ,  James M. Caton

    IPC: H02J13/00 ,  G06N3/04 ,  G06K9/62

    Abstract: Operational events associated with a target physical device can be detected for mitigation by implementing some aspects described herein. For example, a system can apply a sliding window to received sensor measurements at successive time intervals to generate a set of data windows. The system can determine a set of eigenvectors associated with the set of data windows by performing principal component analysis on a set of data points in the set of data windows. The system can determine a set of angle changes between pairs of eigenvectors. The system can generate a measurement profile by executing an integral transform on the set of angle changes. One or more trained machine-learning models are configured to detect an operational event associated with the target physical device based on the measurement profile and generate an output indicating the operational event.

    Techniques for multi-stage analysis of measurement data with event stream processing
    4.
    发明授权
    Techniques for multi-stage analysis of measurement data with event stream processing 有权

    公开(公告)号：US10212024B2

    公开(公告)日：2019-02-19

    申请号：US15997371

    申请日：2018-06-04

    Applicant: SAS Institute Inc.

    Inventor： David Carter Pope ,  Blanden Scott Chisum ,  Brett Farina ,  Mark Joseph Konya

    IPC: G06F15/18 ,  H04L12/24 ,  H04L29/08 ,  H04L12/703

    Abstract: Various embodiments are generally directed to systems for multi-stage measurement data analysis (MMDA), such as for evaluation and/or validation of data received from a measurement device, for instance. Some embodiments are particularly directed to a MMDA system that utilizes event stream processing (ESP) to provide near real-time validation of measurement data, at least in part, by detecting losses in the measurement data. In many embodiments, the MMDA system may detect technical losses (e.g., due to equipment malfunction) and/or non-technical losses (e.g., due to compromised equipment). For example, the MMDA system may receive measurement data generated by an electrical meter and determine the electrical meter is malfunctioning by detecting a technical loss in the measurement data. In many embodiments, the MMDA system may utilize both direct and indirect measurement data transmitted via separate communication paths to provide near real-time validation of measurement data.

    TECHNIQUES FOR MULTI-STAGE ANALYSIS OF MEASUREMENT DATA WITH EVENT STREAM PROCESSING
    6.
    发明申请
    TECHNIQUES FOR MULTI-STAGE ANALYSIS OF MEASUREMENT DATA WITH EVENT STREAM PROCESSING 审中-公开

    公开(公告)号：US20180351786A1

    公开(公告)日：2018-12-06

    申请号：US15997371

    申请日：2018-06-04

    Applicant: SAS Institute Inc.

    Inventor： David Carter Pope ,  Blanden Scott Chisum ,  Brett Farina ,  Mark Joseph Konya

    IPC: H04L12/24 ,  H04L12/703 ,  H04L29/08

    CPC classification number: H04L41/0654 ,  G06F15/18 ,  H04L41/0813 ,  H04L45/28 ,  H04L67/10 ,  H04L67/34

    Abstract: Various embodiments are generally directed to systems for multi-stage measurement data analysis (MMDA), such as for evaluation and/or validation of data received from a measurement device, for instance. Some embodiments are particularly directed to a MMDA system that utilizes event stream processing (ESP) to provide near real-time validation of measurement data, at least in part, by detecting losses in the measurement data. In many embodiments, the MMDA system may detect technical losses (e.g., due to equipment malfunction) and/or non-technical losses (e.g., due to compromised equipment). For example, the MMDA system may receive measurement data generated by an electrical meter and determine the electrical meter is malfunctioning by detecting a technical loss in the measurement data. In many embodiments, the MMDA system may utilize both direct and indirect measurement data transmitted via separate communication paths to provide near real-time validation of measurement data.

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