Equipment family defect overhaul pre-judgment method based on knowledge graph

Abstract

An equipment family defect maintenance pre-judgment method based on a knowledge graph comprises the following steps that information data of power equipment are collected, information comprises equipment types, brands, models, manufacturers, equipment parameters, defect information and operation and maintenance information fields, and data cleaning and preprocessing are carried out on target data; the data are effectively processed, processed and integrated and are converted into simple and clear'entity, relation and entity 'triples, and a power equipment relation graph is constructed from top to bottom; and rapidly and accurately pre-judging equipment defects and appointing a corresponding maintenance plan based on the electric power equipment relation graph in combination with historical equipment maintenance information. The method has the advantages that a series of facts are taken as units to form knowledge according to the acquired power equipment information, and the facts are expressed by triads to form a data layer of a graph logic architecture; by inputting the equipment variable, all the relations and the possibility of needing to be overhauled are obtained, and the equipment overhaul prediction accuracy and convenience are improved.

Description

technical field [0001] The invention relates to the field of operation, maintenance and repair of electric equipment, in particular to a method for predicting defect repair of equipment families based on knowledge graphs. Background technique [0002] The power system implements a regular maintenance system for power equipment, that is, the equipment is tested and maintained according to the planned time period, so there are disadvantages of over-maintenance and under-maintenance. With new changes in the form of defects in power equipment, on-line monitoring of partial discharge, chromatography, and on-line monitoring of SF6 gas quality have begun to increase. The State Grid Corporation clearly stated that starting from 2010, it will comprehensively promote the implementation of equipment condition maintenance, comprehensively improve the level of equipment intelligence, promote the application of intelligent equipment and technology, and realize online early warning of powe...

AI Technical Summary

Problems solved by technology

[0003] The invention provides a method for predicting the maintenance of equipment family defects based on knowledge graphs. Aiming at the existing equipment account information, equipment history defects and equipment history maintenance information of the State Grid, the knowledge graph technology is used to realize the operation and maintenance prediction of power equipment. Quickly and accurately help the stable operation of the power grid system, avoid grid failures that may occur due to equipment problems, and solve the problems of long time-consuming maintenance of power equipment, difficult positioning and unpredictable problems

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