Abnormal elimination management system and method based on abnormal information database increment

Abstract

The invention discloses an abnormality elimination management system and method based on the increment of abnormality information database. The system comprises: abnormality information processing state monitoring part; abnormality cause analysis part, which executes abnormality cause analysis process for abnormal records whose causes are not analyzed; The defect elimination processing execution unit performs anomaly elimination processing on the abnormal information whose unique abnormal cause is identified by the anomaly cause analysis unit. The combination improves the processing, analysis, processing efficiency and accuracy of abnormal information in substations, ensures integrated processing of abnormal information and closed-loop management and control of abnormal problems, and provides an effective substation equipment maintenance and accident prevention measures for the power sector.

Description

technical field [0001] The invention relates to the technical field of power consumption monitoring, in particular to an abnormality elimination management system and method based on an abnormality information database increment. Background technique [0002] Traditional metering operation monitoring and abnormal diagnosis mainly depend on the operator finding an abnormality at a certain metering point, and the inspection personnel go to the site to carry out wiring, data acquisition, detection analysis, problem investigation, recovery and other work. The work efficiency of the whole process is extremely low, and It is easy to cause slow problem positioning and untimely investigation, which may cause personal and equipment accidents, cause casualties, equipment damage and power grid fluctuations, and impact the bottom line of safe production. SUMMARY OF THE INVENTION [0003] In view of the problems existing in the above-mentioned prior art, the present invention provides ...

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Problems solved by technology

[0002] Traditional metering operation monitoring and abnormal diagnosis mainly rely on the operator to find that there is an abnormality in a certain metering point. The inspectors go to the site to carry out wiring, data acquisition, detection and analysis, problem troubleshooting, and recovery. The work efficiency of the whole process is extremely low, and It is easy to cause slow problem location and untimely investigation, which may cause personal and equipment accidents, casualties, equipment damage and power grid fluctuations, impacting the bottom line of safe production

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