Research on the Construction of Leakage Water Knowledge Graph for Urban Rail Transit Operation Tunnels

In recent years, with the gradual improvement of the domestic ecological environment, the groundwater level has been increasing year by year, and the safety issues caused by tunnel leakage have become increasingly prominent. There is currently no method that can be followed to effectively treat different types of leakage water. Therefore, this article relies on the existing collection of a large amount of urban rail transit leakage data. Based on the analysis of the influencing factors of leakage water, the knowledge graph analysis method is used to construct a knowledge ontology model for leakage water. The knowledge element set of tunnel leakage water is proposed, and the accident is visualized and analyzed from four perspectives: accident portrait, accident classification, accident statistics, and accident correlation path. The research results indicate that the knowledge graph can provide comprehensive data support for the analysis of tunnel leakage accidents, and the visualization of accident analysis results can provide knowledge decision-making support for tunnel leakage treatment and control, thereby providing technical support for ensuring the safe operation of urban rail transit operation tunnels.