Power equipment fault tracing method and system based on knowledge graph

By constructing a knowledge graph of power equipment faults and training a model using graph convolutional networks, the problems of accuracy and speed in power equipment fault tracing in existing technologies have been solved, achieving efficient and accurate fault tracing and improving the reliability and interpretability of the tracing results.

CN121834008APending Publication Date: 2026-04-10HEYUAN POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-01-11
Publication Date
2026-04-10

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Abstract

The invention discloses a power equipment fault traceability method and system based on a knowledge graph, which is applied to the field of power equipment fault traceability, and comprises the following steps: constructing a power equipment fault knowledge graph ontology by adopting a top-down and bottom-up combined mode based on power equipment fault related original data, defining ontology concepts and relationships, and establishing a power equipment fault knowledge graph ontology; defining a unique attribute for each ontology concept; the method comprises the following steps of: converting semi-structured data and non-structured data in power equipment fault related original data into triple structure data by adopting a method of manually defining a template rule, extracting a triple form of a relationship between entities based on an ontology concept and a relationship, and constructing a power equipment fault knowledge graph; and based on the power equipment fault knowledge graph, training a power equipment fault traceability model based on the graph convolutional network, and inputting the to-be-detected set to obtain a power equipment fault traceability result. According to the invention, more efficient and accurate power equipment fault traceability is realized, and a more reliable traceability result is provided.
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