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

An identification method and big data technology, applied in the field of anti-theft electricity systems, can solve the problems of large on-site workload, increased power supply costs, lack of early warning and positioning, etc., to improve scientificity and reliability, and improve accuracy. performance, improve accuracy

Pending Publication Date: 2022-08-09
ZHAOTONG POWER SUPPLYING BUREAU OF YUNNAN POWER GRID
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  • Claims
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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-thef

Method used

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

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Embodiment 1

[0072] like Figure 1-Figure 7 As shown, one of the purposes of this embodiment is to provide an accurate identification method and an anti-theft system based on big data, including the following steps:

[0073] S1. Comprehensive use of mobile Internet and satellite network to realize grid management, online linkage and closed-loop management of electricity consumption management work such as electricity inspection plans, on-site inspections, emergency management, special inspections, etc. Electricity inspection and online closed-loop management and control mechanism; based on the mobile Internet, comprehensive use of digital maps, statistical charts, pictures and videos and other technical means to realize multi-dimensional information such as stations, detection devices, users, managers, suspicious users and electricity inspections. Digitalized, visualized and mobile management, and the establishment of an “online and offline” integrated electricity inspection and supervisio...

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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...

Claims

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Application Information

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IPC IPC(8): G06Q50/06G06F16/2458G06F16/248G06F16/29G06V40/20G06V20/40G06V20/52G06K9/62G06N3/08G06N20/00H02J13/00H02J3/00G01S19/42G01R22/06G01R11/24G16Y10/35G16Y20/10G16Y20/40G16Y40/10G16Y40/20G16Y40/50G16Y40/60
CPCG06Q50/06G06F16/2462G06F16/2465G06F16/248G06F16/29G06V40/20G06V20/40G06V20/52G06N3/08G06N20/00H02J13/00001H02J13/00002H02J13/00032H02J3/00G01S19/42G01R22/066G01R11/24G16Y10/35G16Y20/10G16Y20/40G16Y40/10G16Y40/20G16Y40/50G16Y40/60H02J2203/10H02J2203/20G06F18/23G06F18/22Y04S10/50
Inventor 邓丽娟郭健颜清华万龙黄河滔康径竟
Owner ZHAOTONG POWER SUPPLYING BUREAU OF YUNNAN POWER GRID
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