Big data analysis-based low-voltage electricity stealing customer and electricity stealing means determination method

Abstract

The invention discloses a low-voltage electricity stealing customer and electricity stealing means determination method based on big data analysis, and mainly relates to the field of electricity stealing prevention. The method comprises the following steps: 1) based on physical characteristic analysis of a processed electricity stealing case, establishing a plurality of electricity stealing early warning models and electricity stealing means judgment models from different analysis dimensions of electric quantity abrupt change, current abnormity and strong magnetic interference events; 2) performing big data analysis on the electric parameters, the electric energy meter events and the work order information data through a specified electricity larceny early warning model, determining suspected electricity larceny preliminary details of the electricity larceny means in the corresponding electricity larceny early warning mode, and screening out suspected electricity larceny clients; 3) comparing the screened suspected electricity larceny preliminary details by using an electricity larceny means judgment model, screening out electricity larceny data, and determining an electricity larceny customer and an electricity larceny means. The invention has the beneficial effects that the accuracy of judging electricity stealing customers and electricity stealing means can be improved, the judgment efficiency is greatly improved, and the loss of electric quantity is avoided.

Description

technical field [0001] The invention relates to the field of electricity theft prevention, in particular to a method for determining low-voltage electricity theft customers and electricity theft means based on big data analysis. Background technique [0002] In the existing power supply mode, some customers with large electricity consumption will use various means of stealing electricity to avoid high electricity bills, which has caused high losses to the power supply company. This illegal behavior is not conducive to The normal operation of the power supply company has caused huge potential losses to the enterprise. In the existing methods of anti-stealing electricity, there is still a huge difference between the screened electricity theft data and the actual amount of electricity theft. The accuracy of the anti-stealing method It needs to be further improved. Contents of the invention [0003] The purpose of the present invention is to provide a method for determining l...

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Problems solved by technology

[0002]In the existing power supply mode, some customers with large electricity consumption will use various means of stealing electricity to avoid high electricity bills, which will give The power supply company has caused high losses. This kind of illegal behavior is not conducive to the normal operation of the power supply company and has caused huge potential losses to the enterprise. There is still a huge difference in the amount of electricity, and the accuracy of the method of preventing electricity theft needs to be further improved

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