Anti-electricity-stealing inspection monitoring method and platform

Abstract

The invention discloses an anti-electricity-stealing inspection monitoring method and platform. The method comprises the following steps: analyzing an electricity stealing sample, extracting user electricity utilization characteristics and electricity stealing characteristics, determining an electricity stealing technique according to the characteristics, generating a user electricity utilization portrait and an electricity stealing fingerprint, and establishing a special transformer user electricity stealing identification prediction model; detecting power consumption abnormity, capturing abnormal data, extracting characteristic quantity, comparing, and calculating violation probability; if a set probability is reached or exceeded, identifying a suspected electricity stealing user according to the special transformer user electricity stealing identification prediction model, carrying out electricity stealing fingerprint matching, judging a suspected electricity stealing mode and time, and generating a suspected electricity stealing user list; generating an anti-electricity-stealing inspection work order, dispatching inspection, obtaining inspection information and updating the inspection information; electricity stealing processing is carried out according to the inspection information. According to the anti-electricity-stealing inspection and monitoring method and platform, through big data analysis, electricity larceny fingerprints are generated according to power utilization signal characteristics of users, a special transformer user electricity larceny recognition model is established, electricity larceny users are accurately positioned, and a suspected electricity stealing technique is determined.

Description

technical field [0001] The invention relates to a power grid monitoring system, in particular to an anti-electricity theft inspection and monitoring method and platform. Background technique [0002] With the development of science and technology, high-tech stealing methods make it extremely difficult to identify, define, and obtain evidence. Common stealing methods include: reverse connection, short circuit, current loss, voltage loss, strong magnetic field, etc. Stealing electricity has high concealment and flexibility, which brings great difficulty to anti-stealing on-site reconnaissance work, and further encourages users to steal electricity. [0003] At present, the State Grid Grid has no systematic tools for anti-stealing business. The company's anti-stealing business is highly discrete, and there is no relevant statistical analysis. It cannot effectively control the development of anti-stealing business, which is not conducive to formulating anti-stealing work. plan....

AI Technical Summary

Problems solved by technology

[0002] With the development of science and technology, high-tech stealing methods make it extremely difficult to identify, define, and obtain evidence. Common stealing methods include: reverse connection, short circuit, current loss, voltage loss, strong magnetic field, etc. Stealing electricity has high concealment and flexibility, which brings great difficulty to anti-stealing on-site reconnaissance work, and further encourages users to steal electricity

[0003] At present, the State Grid Grid has no systematic tools for anti-stealing business. The company's anti-stealing business is highly discrete, and there is no relevant statistical analysis. It cannot effectively control the development of anti-stealing business, which is not conducive to formulating anti-stealing work. plan

At the same time, the traditional anti-stealing investigation method cannot clearly identify and locate the stealing behavior, resulting in relatively low anti-stealing diagnosis accuracy and operational efficiency; Accurately count information such as power consumption, electricity bills, etc.

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