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Electricity larceny prevention early warning method based on multi-source data fusion

A multi-source data and anti-stealing technology, applied in data processing applications, neural learning methods, predictions, etc., can solve problems such as lack of better implementation methods, so as to ensure enterprise operating efficiency, maintain power supply order, increase The effect of punishment

Pending Publication Date: 2019-04-12
CHINA REALTIME DATABASE +1
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Problems solved by technology

However, there is still no good method for data collection, extraction, and analysis.

Method used

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  • Electricity larceny prevention early warning method based on multi-source data fusion
  • Electricity larceny prevention early warning method based on multi-source data fusion
  • Electricity larceny prevention early warning method based on multi-source data fusion

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Embodiment Construction

[0023] Below, the present invention will be described in further detail in conjunction with the accompanying drawings.

[0024] Please refer to figure 1 , figure 1 is a functional structure diagram;

[0025] Through the collection of basic electricity consumption data, the system establishes a data information set around the user's electricity consumption. By constructing a simple power theft analysis model and selecting the corresponding abnormal power consumption classification indicators as a basis to delineate the abnormal range of power consumption, at the same time, the users who meet the conditions are included in the abnormal analysis pool, and quantified according to the abnormal power consumption behavior attribute rules Analyze and generate low-voltage and special electricity stealing warning details respectively; then, analyze the abnormal electricity consumption according to the flexible and customizable anti-stealing expert strategy and user behavior trajectory...

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Abstract

The invention provides an electricity larceny prevention early warning method based on multi-source data fusion. The electricity larceny prevention early warning method is used for realizing an analysis and early warning system for electricity larceny and abnormal electricity utilization behaviors of a user in the electricity utilization process. According to the method, multi-source composite information is utilized to improve the system monitoring and prediction early warning diagnosis capability of power utilization behaviors, and the support technology of power utilization mass data application is adopted; a multi-layer perception system is established, and multi-source integration, deep extraction and omnidirectional application of the power utilization information system are promoted; Meanwhile, a monitoring and sensing method based on user power utilization analysis is provided, and optimal configuration of relevant resources such as power utilization types, power utilization strategies and power utilization behavior specifications is improved; the identification method for the electricity consumption behavior attribute of the user is provided, and technical support is provided for power grid safety and electric quantity maintenance marketing.

Description

technical field [0001] The invention belongs to the field of power grid data analysis, more precisely, it is a multi-source data fusion anti-theft early warning method. Background technique [0002] As the front-end and most basic element in the composition of the smart grid, the electricity consumption information collection system for power users is an important and basic link in the "big data" chain of power companies. Therefore, the analysis of power theft and abnormal power consumption behavior in the current smart grid system requires the collection of power consumption information data of the majority of power users, and the use of the collected massive data combined with the marketing information system and other related data for reasonable extraction and analysis, forming Analysis conclusion. However, how to collect, extract and analyze data is still not well implemented. Contents of the invention [0003] Purpose of the invention: In order to solve the above pr...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/08G06Q10/04G06Q50/06
CPCG06N3/084G06Q10/04G06Q50/06G06F18/23213
Inventor 李钢茅海泉韩辉
Owner CHINA REALTIME DATABASE
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