User repair fault automatic research and judgment method based on big data analysis

Abstract

The invention discloses a user repair fault automatic research and judgment method based on big data analysis. The method is based on a power consumer fault repair work order. Distribution network operation data and service management information such as electricity meter interrogation data of a user and a distribution transformer, two-remote real-time data of a distribution line, power failure reporting information, user electricity charge information and the like are fused. A power grid topological relation and big data analysis are utilized to assist in research and judgment information such as a fault power failure type, a power failure influence range and a fault section, so that the fault positioning speed is increased, and the fault repair efficiency is improved. According to the method, marketing, distribution and dispatching operation and management data are deeply fused to carry out accurate research and judgment and fault section positioning of a user repair fault, so that the fault positioning speed is improved, the fault repair efficiency is improved, and the fault type and the fault section are accurately researched and judged.

Description

【Technical Field】 [0001] The invention belongs to the technical field of electrical engineering, and relates to a method for automatically studying and judging user repair faults based on big data analysis. 【Background technique】 [0002] Due to the insufficient coverage of distribution network monitoring equipment and insufficient data integration of the distribution network, it is difficult to fully grasp the operation status of the distribution network. It is difficult to detect the bad conditions of the power supply of power users such as the failure of the distribution network equipment and outages. Rely on users to report for repairs to passively carry out corresponding emergency repairs. Due to the inability to fully grasp the operation status of the distribution network, the current fault research and judgment and location work mainly relies on the on-site troubleshooting by emergency repair personnel. When the fault situation is more complicated, the troubleshooting will...

AI Technical Summary

Problems solved by technology

[0002] Due to the insufficient coverage of distribution network monitoring equipment and the insufficient integration of operation, distribution and deployment data, it is difficult to fully grasp the operation of the distribution network. It is difficult to detect in the first place the adverse conditions such as failure and outage of distribution network equipment that affect the power supply of power users. Rely on the user to report for repair to passively carry out the corresponding emergency repair work

Due to the inability to fully grasp the operation of the distribution network, the current fault research, judgment and location work mainly depends on the on-site investigation by emergency repair personnel. When the fault situation is more complicated, the fault investigation takes a long time, which will greatly affect the development of emergency repair work and limit the efficiency of emergency repair. promote

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