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公开(公告)号：US10733312B2
公开(公告)日：2020-08-04
申请号：US15720782
申请日：2017-09-29
Applicant: General Electric Company
Inventor： Bruce J. Jacobson , Trent Gillham , Patrick Bergeron
Abstract: Methods, systems, and devices for context driven subscriptions are provided. In general, a user interface for a pipeline management system can be configured to provide information regarding one or more pipelines to authorized users. The information can include data gathered using one or more sensors sensing various parameters. The information on the user interface can include results of analysis of the gathered data, such as notifications that the gathered data indicates an anomaly with a pipeline. The notifications of anomalies can be provided on the user interface in real time with the data analysis.
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公开(公告)号：US10473270B2
公开(公告)日：2019-11-12
申请号：US15720789
申请日：2017-09-29
Applicant: General Electric Company
Inventor： Bruce J. Jacobson , Ryan McCormack , Gandeephan Ganeshalingam , Trent Gillham , Mauricio Palomino , Glen Peter Koste , Ehsan Jalilian
IPC: G08B3/00 , G08B5/00 , G08B7/00 , F17D5/06 , F17D3/01 , F17D5/00 , G01M3/00 , G08B21/18 , G08B21/20 , F17D5/02 , G01M3/28 , G01M5/00 , G05B15/02 , G06Q10/00
Abstract: Leak detection user interfaces are provided. In general, a user interface for a pipeline management system can be configured to provide information regarding one or more pipelines to a user. The information can include data gathered using one or more sensors sensing various parameters. The information on the user interface can include results of analysis of the gathered data, such as notifications that the gathered data indicates an anomaly with a pipeline. The notifications of anomalies can be provided on the user interface in real time with the data analysis. Accordingly, the user can trigger one or more corrective actions such as notifying maintenance personnel local to a location of the identified anomaly, remotely controlling the pipeline with the anomaly to close valve(s) and/or other equipment to prevent fluid flow in the pipeline in the area of the detected anomaly, etc.
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公开(公告)号：US20180094775A1
公开(公告)日：2018-04-05
申请号：US15720789
申请日：2017-09-29
Applicant: General Electric Company
Inventor： Bruce J. Jacobson , Ryan McCormack , Gandeephan Ganeshalingam , Trent Gillham , Mauricio Palomino , Glen Koste , Ehsan Jalilian
CPC classification number: F17D5/06 , F17D3/01 , F17D5/005 , F17D5/02 , G01M3/00 , G01M3/2807 , G01M5/0025 , G05B15/02 , G06Q10/20 , G08B21/18 , G08B21/20
Abstract: Leak detection user interfaces are provided. In general, a user interface for a pipeline management system can be configured to provide information regarding one or more pipelines to a user. The information can include data gathered using one or more sensors sensing various parameters. The information on the user interface can include results of analysis of the gathered data, such as notifications that the gathered data indicates an anomaly with a pipeline. The notifications of anomalies can be provided on the user interface in real time with the data analysis. Accordingly, the user can trigger one or more corrective actions such as notifying maintenance personnel local to a location of the identified anomaly, remotely controlling the pipeline with the anomaly to close valve(s) and/or other equipment to prevent fluid flow in the pipeline in the area of the detected anomaly, etc.
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公开(公告)号：US20180096159A1
公开(公告)日：2018-04-05
申请号：US15720782
申请日：2017-09-29
Applicant: General Electric Company
Inventor： Bruce J. Jacobson , Trent Gillham , Patrick Bergeron
Abstract: Methods, systems, and devices for context driven subscriptions are provided. In general, a user interface for a pipeline management system can be configured to provide information regarding one or more pipelines to authorized users. The information can include data gathered using one or more sensors sensing various parameters. The information on the user interface can include results of analysis of the gathered data, such as notifications that the gathered data indicates an anomaly with a pipeline. The notifications of anomalies can be provided on the user interface in real time with the data analysis.
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