Abstract: Functional requirements of intelligent operation and maintenance system for urban rail transit vehicles are introduced, and the applicability of a time-series database of IoTDB in the construction of the system is analyzed. Based on IoTDB, a lightweight overall architecture of intelligent operation and maintenance system for urban rail transit vehicles is proposed. This architecture can effectively improve the processing capacity and efficiency of timeseries data generated by trains, reducing the difficulty and cost of system operation and maintenance.