Application And Research Of Data Mining In Anti-stealing Power System

With the gradual application of information technology and computer technology to power supply enterprises,the wire loss rate of power supply enterprises can not be effectively controlled in the process of realizing automation management,and the phenomenon of power theft seriously affects the economic benefits of power supply enterprises.The commonly used anti-theft measures are to install external monitoring equipment.Mainly,However,the external application cost is relatively high,the installation difficulty is complex,and the anti-theft effect obtained is not ideal.Based on this,the user's electricity data is not comprehensive,and the stolen data can not be accurately positioned and monitored.This paper puts forward the method of optimizing anti-theft power system by using data mining,and focuses on the research of data mining and data analysis in anti-theft power system,so as to optimize the anti-theft power system and solve the problems of data mining and data model analysis.Improve the effectiveness and accuracy of the anti-theft system.In order to test the pertinence and effectiveness of this research,when studying the application of anti-theft power systems,SQL Server 2008 is used as a database,and from the perspective of relational data,the practical application of data mining is analyzed.On the basis of clarifying the functions of user management,power management,and user discrimination,this paper analyzes the practical application effect of anti-theft power system in Area A.The practice results prove that under the premise of using anti-theft power system,Users can be routinely checked and inspected for electricity use,and data can be screened and analyzed in Yichang City.The rectification rate has reached 100 %.The application of anti-theft power systems can achieve wireless communication transmission,and staff can use anti-theft power systems.The power metering device performs data analysis.Relatively reducing the number of vehicles and the number of uses,the cost of traffic maintenance is relatively reduced.At present,there are 6,000 inspection sites in Area A.The number of inspections in the year is 18,64210.The cost of a single use of vehicles is 15 yuan,a total of 27,963,150 yuan.After using the anti-theft system,The number of inspections was3684,resulting in cost savings of $27907890.Analysed on a year-on-year basis,the line loss rate in Area A in May 2017 fluctuated by 0.92 %,while in June 2018,after the use of the anti-theft system,the line loss of the grid decreased by 0.5 %,basically achieving effective control of the line loss.The anti-theft system of this research can speed up the statistics of electricity related data,and can provide accurate data for power consumption cost,financial accounting,etc.,and can basically provide data support for power companies 'decision-making.