Construction and engineering application of power equipment production operation and maintenance knowledge graph

Based on the defect data of power equipment, it is of great significance to construct the knowledge graph of power equipment production operation and maintenance and dig the potential knowledge deeply for realizing the intelligent operation of power equipment and ensuring the stable operation of power system. First, the knowledge of power equipment production operation and maintenance is sorted out, and the basic concept and core elements of power equipment production operation and maintenance knowledge graph are given in combination with the characteristics of power equipment defect case data. Secondly, the architecture of power equipment production operation and maintenance knowledge graph system is designed, which includes four functional modules: multi-source data, graph construction, graph calculation and graph application. Then, the key technologies of ontology construction, knowledge extraction, knowledge fusion and graph storage are systematically introduced in combination with knowledge graph construction technology. On this basis, the application scenarios of knowledge retrieval analysis, suspected familial defect analysis and maintenance strategy recommendation are described in combination with knowledge graph inference and knowledge graph retrieval techniques. Finally, the knowledge graph and visualization system of power equipment production and operation and maintenance are developed, and tested and applied in a provincial power grid, which provides a strong technical support for realizing the intelligent operation and maintenance of power equipment.