Modified electricity-larceny-prevention intelligent early-warning system and method

Abstract

The invention discloses a modified electricity-larceny-prevention intelligent early-warning system and method, and belongs to the field of intelligent electric network informatization. The system comprises a data source module, a storage module, a diagnosis module and an early-warning module. According to the method, a large-data analysis model of the user electricity-larceny behavior probabilityis established, multi-dimension analysis is carried out, and suspected electricity-larceny users are accurately identified; the method is applied to electricity-larceny-prevention business, the bottlenecks that present manual electricity larceny prevention is large in monitoring workload, analysis workload and checking workload and low in accuracy are solved, and a reliable technical support is provided for primary electricity checking on the scene and electricity-larceny-prevention analysis and investigation work accurately and efficiently conducted by electricity-larceny-prevention workers.After configuration is set, manual interference is not required, the electricity-larceny behavior of an electrical power system is independently and accurately analyzed and early warned; the bottlenecks that present manual electricity larceny prevention is large in monitoring workload, analysis workload and checking workload and low in accuracy are solved, and the rationality and the accuracy of electricity net sources are improved.

Description

technical field [0001] The invention belongs to the field of smart grid informatization, and in particular relates to an improved anti-stealing intelligent early warning system and method. Background technique [0002] In recent years, with the rapid advancement of the market economy and the continuous development of science and technology, the phenomenon of stealing electricity is still repeatedly prohibited. The scope of stealing electricity is wide, the number of personnel is large, and it is showing a trend of professionalization and intelligentization. Anti-stealing electricity The situation is very grim. This intelligent anti-theft and early warning system is committed to establishing the smart energy utilization system, technology and system of power grid enterprises, and establishing a virtuous cycle and value-win ecosystem for stakeholders in the power business. [0003] At present, a large amount of abnormal alarm data related to electricity theft is generated in t...

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Problems solved by technology

[0003] At present, a large amount of abnormal alarm data related to electricity theft is generated in the mining system and the line loss system. However, there may not be electricity theft problems when the alarm is reported. It is impossible to manually analyze each household or go to the site for investigation. Existing The technical application publication number CN 106291253 A is based on the analysis of the event data generated by the collection terminal and the electric energy meter, and completely depends on the recording information of the event by the collection terminal and the electric energy meter. When the event data records of terminals and electric energy meters are inaccurate, large errors will be caused to the analysis results. When the time record data is lost, electricity theft analysis cannot be performed

[0004] Based on the above problems, it is necessary to establish a big data analysis model for the probability of user stealing behavior. After multi-dimensional analysis, the suspected electricity stealing users can be accurately identified and applied to the anti-stealing business to solve the current manual anti-stealing monitoring, analysis, and investigation workload. , the bottleneck of low accuracy, providing reliable technical support for on-site power consumption inspection and anti-stealing personnel to carry out accurate and efficient anti-stealing analysis and investigation work

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