A method and system for identifying suspected electricity theft based on high-dimensional random matrix

Abstract

The invention discloses a method for identifying electricity theft suspects based on a high-dimensional random matrix, which includes the following steps: S1: Obtain daily electricity data, local temperature data, and holiday data of all resident users in a time segment T to construct an original data set ; S2: Construct a sample data set based on the data in the original data set in S1; S3: Use the sample data in S2 to construct a high-dimensional random matrix D; S4: Analyze the high-dimensional random matrix D constructed in S3 to determine whether the sample data is abnormal , if the data is abnormal, it is determined that the user has stealing behavior, otherwise, the user does not have stealing behavior. The purpose of the present invention is to provide a method and system for identifying suspected electricity theft based on a high-dimensional random matrix. Provide the specific time period for the user to steal electricity.

Description

technical field [0001] The invention relates to the technical field of electricity metering and inspection, in particular to a method for identifying suspected electricity theft based on a high-dimensional random matrix. Background technique [0002] The traditional methods of preventing electricity theft and leakage are mainly to find out electricity theft or metering device failure through regular inspections, regular calibration of electricity meters, and users reporting electricity theft. [0003] At present, although there is an electricity theft monitoring system for residential users, the three-phase total current and voltage information of the meter box are collected through the three-phase sensor installed at the entrance of the meter box, and the electricity consumption at the entrance of the meter box is calculated by the receiver installed in the meter box. Data, monitor the electricity consumption data of each meter in the meter box and compare, and then find ou...

AI Technical Summary

Problems solved by technology

Compared with the traditional method, the function of discovering the abnormality of electricity consumption is greatly improved. It can further dig out the suspicion of electricity theft, and can guide the on-site investigation, but it cannot provide the time of electricity theft, and it is powerless against other methods such as modern software theft, remote control theft, etc.

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