Construction and Application of Knowledge Graph for Train Maintenance Field

Objective With its powerful semantic processing and open organization capabilities, the knowledge graph lays the foundation for knowledge-based organization and intelligent applications in various fields. In order to improve the digitization and intelligence level of urban rail transit train maintenance, a knowledge graph for the train maintenance field should be established. Method The knowledge graph technology is briefly introduced, and a top-down approach is adopted to construct the knowledge graph. The construction process of the knowledge graph for the train maintenance field is analyzed from five aspects, i.e. ontology design, information extraction, knowledge mapping, knowledge storage, and knowledge fusion. The outlook for the application of the knowledge graph in the field of train maintenance is described. Result & Conclusion Based on the above graph, not only can the problems of train maintenance data silos be effectively solved, but also the unified management of relevant data in the field of train maintenance can be realized, and intelligent services such as ′one file for one train′, intelligent retrieval, and train fault trend analysis be provided for train maintenance.