Abstract: Building a power grid fault disposal model through the knowledge graph and transforming the huge and scattered terminal equipment information and fault case data into a professional domain knowledge graph can effectively reduce the pressure of fault disposal, assist relevant personnel in making fault disposal decisions, and improve the efficiency of disposal and the level of intelligence. In view of the important role of knowledge graph in the process of distribution network fault disposal, this paper describes the construction methods and key technologies of knowledge graph, such as knowledge extraction, knowledge fusion, knowledge processing, knowledge updating, etc. Especially according to the characteristics of distribution network fault disposal data, this paper analyzes and compares the technologies at various stages in the process of building the distribution network domain knowledge graph. Finally, combines the development trend of the knowledge graph, the challenges and opportunities faced by the knowledge graph of distribution network fault handling are presented.