Application Analysis of Anti-Stealing Decision System Model in Business Management System

Stealing electricity is highly harmful to stealing electricity, which will cause serious interference to the normal operation of the electricity market, and will also cause serious safety electricity accidents. Based on the analysis of anti-stealing technology, this paper puts forward eight kinds of characteristic parameters to judge whether electricity is stolen or not. After accommodating, it plans the anti-stealing method relying on the big data of electricity consumption data collection platform. The function of the module. Then, the corresponding decision-making model framework of anti-theft electricity system and its internal algorithm process are established to diagnose and warn the users of electricity theft. Finally, the effectiveness and accuracy of the decision system model are proved by the actual performance.

I. Introduction

For a long time, the number of electricity theft cases has remained high, and various high-tech electricity thefts have emerged in an endless stream. With the deepening of the reform of the power system, the full coverage of automatic meter reading, and the comprehensive cancellation of manual meter reading, the anti-theft work is facing unprecedented Challenges [1]. The report shows that a province with 620,000 power users accounts for 21.3% of users stealing electricity within a year. Among them, the irrecoverable losses in more than 5000 cases include the loss of 119.6 million kilowatt-hours of electricity, the loss of 8 million yuan by power companies, and other economic losses worth 9.6 million yuan. Therefore, it is of great significance to study the behavior of preventing electricity theft.