Abstract: In order to further standardize the defect information input and improve the efficiency of defect elimination and disposal, an intelligent diagnosis and identification method of secondary equipment defect based on knowledge graph is introduced. The defect knowledge graph is constructed by using historical defect elimination records, and the functions of automatic filling in defect information, intelligent diagnosis of defect and auxiliary decision of defect disposal are completed, and the support of the whole process of fault disposal is realized. The practical application effect of the adopted technology depends to some extent on the quality of the original text data. In the subsequent application, it is necessary to continuously iteratively optimize the algorithm model to continuously improve the acceptance rate of intelligent diagnosis and auxiliary decision of secondary equipment functional defects.