Big data-based electricity larceny accurate identification method and electricity larceny prevention system

Abstract

The invention relates to the technical field of electric power system management, in particular to an electric power larceny accurate identification method based on big data and an electric power larceny prevention system. Comprising the following steps: constructing an electricity management and control mechanism; based on video monitoring and AI identification technology, the electricity stealing behavior is identified and evidence is obtained; gPS positioning of an electricity stealing position is carried out; electricity utilization data are intelligently collected; electricity consumption analysis control is performed by constructing an electricity larceny and electricity larceny prevention diagnosis model; on-line analysis, research and judgment and intelligent early warning are carried out on the electricity stealing behavior; establishing an electricity stealing user behavior feature library; and establishing an electricity safety big data analysis library. According to the design of the invention, intelligent acquisition of power consumption data can be realized, and the accuracy of studying, judging and positioning of electricity stealing behaviors is improved; based on mass data, a state estimation method and a detection method are used, the scientificity and reliability of research and judgment are improved, the detection accuracy is high, and the application cost is low; the efficiency of power utilization inspection and inspection is improved; the whole-process and panoramic management and control of electricity utilization inspection can be realized; and later evidence obtaining is facilitated.

Description

technical field [0001] The invention relates to the technical field of power system management, in particular, to a method for accurately identifying electric power theft based on big data and a system for preventing power theft. Background technique [0002] Electric energy is an important resource related to the national economy and people's livelihood, and is inseparable from people's production and life. With the rapid development of the national economy, people's production and life demand for electricity resources is increasing, which has become an indispensable part of social and economic development. In recent years, the black hands of criminals have frequently extended to power facilities, and cases of theft and sabotage have skyrocketed. This kind of behavior not only disrupts the normal order of power supply and consumption, resulting in an increase in the cost of power supply, but also brings adverse social impact, and even poses a great safety hazard to the safe...

AI Technical Summary

Problems solved by technology

This kind of behavior not only disrupts the normal order of power supply and consumption, causing an increase in power supply costs, but also brings adverse social impacts, and even causes great safety hazards to power supply safety

At this stage, in the management of electricity theft and breach of contract, the corresponding inspection methods are not only backward but also relatively simple. The existing anti-theft methods have a large on-site workload, and they are at a loss for the increasingly diverse methods of electricity theft. There is an online system for locating and early warning of electricity theft by users. Electricity inspectors lack scientific methods to realize early warning and location of electricity theft by high- and low-voltage users. Mainly, there are large loopholes in the anti-electricity theft work

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