Distribution line abnormality early warning method and system based on time sequence image analysis

Abstract

The application is suitable for the technical field of abnormal early warning, and particularly relates to a distribution network line abnormal early warning method and system based on time sequence image analysis. The method comprises the following steps: obtaining the record information of the distribution network line, and constructing a distribution network facility graph according to the record information; determining the exposure of any line section in the distribution network facility graph based on the distribution network equipment; randomly selecting the distribution network equipment based on the exposure of each line section, obtaining the equipment information of the selected distribution network equipment, and constructing an information image containing a time label; performing time sequence analysis on the information image containing the time label, determining the abnormality degree of each line section, and generating early warning information based on the abnormality degree; the application obtains the influence relationship of the existing equipment on the line, selects the equipment based on the influence relationship, obtains the equipment information based on the data collection and transmission function of the equipment itself, identifies the equipment information, quickly determines the line state, and only needs the basic function of the existing equipment, so the cost is extremely low.

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