Abstract:Knowledge graph has high application value in the field of knowledge visualization. Due to the poor real-time nature of the graph data, the continuous increase of data tends to produce redundant data, which will directly affect the quality and availability of the knowledge graph. In order to solve this problem, especially in the field of power generation to improve the application efficiency of power generation equipment, this paper designs a dynamic updating method of knowledge graph applied in the field of power generation, the core of this method is to utilize the Neo4j graph database, through its powerful graph processing capabilities, to realize the efficient update of knowledge graph data. By skillfully designing the data updating strategy, the node reoccurrences are successfully reduced, thus greatly improving the accuracy of the update. By dynamically updating the knowledge graph in the field of power generation equipment, the information in it can be kept up-to-date all the time, thus providing strong support for practical applications. Especially in the maintenance and optimization of power generation equipment, this timely updated knowledge graph will be a valuable tool. Key words: knowledge graph; dynamic update; power generation field