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Method and device for screening electricity stealing users based on measurement big data

A big data and electricity stealing technology, applied in the field of electricity stealing screening, can solve the problems of abnormal operation of the power grid, low work efficiency of screening electricity stealing users, affecting safe electricity consumption, etc.

Active Publication Date: 2020-08-11
MEIZHOU POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Stealing electricity users may cause abnormal operation of the power grid during the process of stealing electricity, which affects the safe use of electricity, and even in some cases of electricity theft, fires, explosions, etc. caused by short circuits occurred
[0003] The traditional anti-stealing inspection method mainly focuses on on-site inspections of all users in the station area, which has certain limitations and slowness, and the work efficiency of screening electricity-stealing users is low

Method used

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  • Method and device for screening electricity stealing users based on measurement big data
  • Method and device for screening electricity stealing users based on measurement big data
  • Method and device for screening electricity stealing users based on measurement big data

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Embodiment 1

[0053] The embodiment of the present invention provides a method for screening power-stealing users based on metering big data, figure 1 It is a flow chart of a method for screening electricity stealing users based on metering big data provided by Embodiment 1 of the present invention, refer to figure 1 , methods include:

[0054] S10. Obtain big metering data, wherein the big metering data includes power consumption, power loss in station area, and line loss rate.

[0055] Specifically, the user's meter reading data table and the station area line loss table are extracted from the metering database of the metering automation system, and the metering big data is obtained according to the user's meter reading data table and the station area line loss table. Among them, the metering big data includes power consumption, power loss in the station area and line loss rate. The meter reading data table includes the daily electricity consumption of users in the extracted station are...

Embodiment 2

[0068] Embodiment 2 of the present invention provides a method for screening power-stealing users based on metering big data. transformation and supplementation.

[0069] Among them, according to the metering big data, the characteristics of stealing electricity behavior include:

[0070] From the metering big data, extract the electricity consumption of historical power-stealing users within the set time, as well as the power loss and line loss rate of the station area;

[0071] Analyze the daily power consumption of historical power-stealing users and the corresponding daily power loss and line loss rate in the station area, and obtain the common characteristics of the power consumption of historical power-stealing users, as well as the common characteristics of the corresponding power loss in the station area and line loss Common features of rates;

[0072] According to the common characteristics of the electricity consumption of the historical power-stealing users, the c...

Embodiment 3

[0102] Embodiment 3 of the present invention provides a method for screening power-stealing users based on metering big data. On the basis of the above-mentioned embodiments, Embodiment 3 of the present invention supplements the method for screening power-stealing users based on metering big data.

[0103] Based on the steps of the above-mentioned embodiment, the preset algorithm is used and according to the metering big data of the target station area, the parameters related to the electricity stealing behavior of the users in the target station area are calculated, the step is to compare the electricity stealing behavior related parameters with the electricity stealing behavior related parameter thresholds and the steps According to the comparison result, the suspected electricity-stealing users in the target station area are screened, and a rule algorithm is generated, so as to screen the suspected electricity-stealing users by using the rule algorithm. The method for screen...

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Abstract

The embodiment of the invention discloses a method and device for screening electricity stealing users based on measurement big data, and the method comprises the steps: obtaining the measurement bigdata which comprises the power consumption, the area loss power and the line loss rate; determining electricity stealing behavior characteristics according to the metering big data; utilizing a presetalgorithm and according to the electricity larceny behavior characteristics, calculating electricity larceny behavior related parameter threshold values; calculating electricity larceny behavior related parameters of users in the target transformer area by using a preset algorithm according to the measurement big data of the target transformer area; comparing the electricity larceny behavior related parameters with electricity larceny behavior related parameter threshold values; and screening electricity larceny suspected users in the target court according to a comparison result. According to the technical scheme provided by the embodiment of the invention, the electricity stealing users can be accurately and effectively positioned, and the working efficiency of screening the electricitystealing users is improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of electricity stealing screening, and in particular to a method and device for screening electricity stealing users based on metering big data. Background technique [0002] With the rapid growth of the number of power customers, the phenomenon of stealing electricity is becoming more and more serious. The stealing of electricity not only damages the economic interests of power supply companies, but also brings hidden dangers to the safety of electricity consumption. The annual economic loss due to power loss is huge, but only a small number of cases can be successfully investigated by the power supply department. Stealing electricity users may cause abnormal operation of the power grid during the process of stealing electricity, which affects the safe use of electricity, and even in some cases of electricity theft, fires and explosions caused by short circuits occurred. [0003] The tradit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R22/06G06Q50/06
CPCG01R22/066G06Q50/06
Inventor 李奋强林国光罗元发曾晓丹陈代威郭春浩汤浩池春生金星凌福强
Owner MEIZHOU POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CORP
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