Abstract: To deal with the problems of incomplete data acquisition of eqipment operating status, lack of decision support data in equipment operation and maintenance management, lack of overall planning and coordination of specialty-otriented equipment operation and maintenance services, and low eqipment operation and maintenance efficiency of urban rail transit, this paper puts forward the general architecture and function framework of the intelligent equipment operation and maintenance system for urban rail aimed at comprehensive operation and maintenance management of urban rail equipment and based on the concept of Prognostics Health Management (PHM) and explores the key technologies that need in-depth research. By collecting and utilizing a large amount of equipment monitoring data, using fault diagnosis model, artificial intelligence algorithm and workflow engine, the system automatically generates equipment operation and maintenance plans, assists equipment operation and maintenance management decisions, and supports multi-service operation collaboration on the basis of realizing health management of key equipment, which helps to improve the overall operation and maintenance efficiency of urban rail equipment and improve the health level and performance of urban rail equipment, thus minimizing shut-off period, reducing maintenance costs, and ensuring safe, reliable and efficient operation of urban rail transit.