Electricity larceny prevention intelligent early warning and user electricity consumption behavior analysis method

Abstract

The invention relates to the technical field of electricity larceny prevention, in particular to an intelligent early warning and user electricity consumption behavior analysis method for electricitylarceny prevention. The method comprises a power utilization data analysis step, a data storage step, an abnormity alarm step and an electric quantity compensation step. According to the invention, the after-event analysis module uses the fuzzy support vector machine to classify the characteristic samples, on the basis, the difference of standard execution is quantified by taking teams or power supply stations as units, individuals commonly existing in the average phenomenon of the compensated electric quantity and similar cases in the teams or the power supply stations are screened out, a reference is provided for electricity larceny processing business training, and the accuracy of electricity stealing quantity evaluation is improved.

Description

technical field [0001] The invention relates to the technical field of anti-stealing electricity, in particular to an intelligent anti-stealing early warning and a method for analyzing user electricity consumption behavior. Background technique [0002] The current situation of electricity theft is becoming more and more serious, the means of electricity theft is professional and technological, and the anti-theft work is in a passive situation. , The anti-theft work still stays on the traditional methods such as squatting on the spot. The anti-theft work needs to be developed in an active and intelligent direction, but intelligent monitoring is prone to data deviations, which greatly reduces the accuracy of the data. As a result, unnecessary misunderstandings are caused between the user and the anti-stealing inspectors, which reduces the user's experience in using electricity. Contents of the invention [0003] The purpose of the present invention is to provide an anti-st...

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Problems solved by technology

[0002] The current situation of electricity theft is becoming more and more serious, the means of electricity theft is professional and technological, and the anti-theft work is in a passive situation. , The anti-theft work still stays on the traditional methods such as squatting on the spot. The anti-theft work needs to be developed in an active and intelligent direction, but intelligent monitoring is prone to data deviations, which greatly reduces the accuracy of the data. As a result, unnecessary misunderstandings are caused between users and anti-stealing inspectors, which reduces the user's experience in using electricity

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