Zero-electric-quantity user troubleshooting method based on radar map comprehensive evaluation method

Abstract

The invention discloses a zero-electric-quantity user troubleshooting method based on a radar map comprehensive evaluation method, and relates to a zero-electric-quantity user troubleshooting method.An original general survey mode often consumes a large amount of manpower and material resources, and sampling survey often neglects many abnormal users. The method comprises the following steps: firstly, acquiring multi-source data information of a user; extracting zero-electric-quantity user troubleshooting key factors including user basic attributes, user electricity consumption characteristics, station area characteristics to which users belong and important abnormal events of the users; carrying out data preprocessing, determining the weight of each index; and finally, selecting a radar map comprehensive evaluation method to sort the zero-electric-quantity users, obtaining the troubleshooting score and sequence of the zero-electric-quantity users, drawing a comprehensive evaluation radar map of each user, and analyzing the overall score and the single index score of each user. According to the technical scheme, the troubleshooting priorities of the zero-electric-quantity users areranked, accurate positioning of the zero-electric-quantity abnormal users is achieved, the troubleshooting range is greatly reduced, and manpower and material resources are saved.

Description

technical field [0001] The invention relates to a zero-battery user screening method, in particular to a zero-battery user screening method based on a radar chart comprehensive evaluation method. Background technique [0002] With the increase of electricity customers and the diversification of customers' electricity consumption forms, there are more and more types of abnormal electricity consumption. The abnormal data generated by the system is large and the accuracy is low. The investigation and processing consume a lot of manpower and material resources. Some abnormalities in power consumption cannot be detected and dealt with in time, which not only causes economic losses to power supply companies, but also threatens the safe operation of the power grid and personal safety. Among them, the investigation workload of zero-power users in abnormal power consumption is huge. In Zhejiang Province alone, there were 2.795 million zero-power low-voltage users in the third quarter...

AI Technical Summary

Problems solved by technology

[0002] With the increase of electricity customers and the diversification of customers' electricity consumption forms, there are more and more types of abnormal electricity consumption. The abnormal data generated by the system is large and the accuracy is low. The investigation and processing consume a lot of manpower and material resources.

Some abnormalities in power consumption cannot be detected and dealt with in time, which not only causes economic losses to power supply companies, but also threatens the safe operation of the power grid and personal safety

Among them, the investigation workload of zero-power users in abnormal power consumption is huge. In Zhejiang Province alone, there were 2.795 million zero-power low-voltage users in the third quarter of 2018. Using the original census method often consumes a lot of manpower and material resources, and sampling surveys often ignore many abnormal user

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