Abstract: Municipal facilities are an important part of urban management. Traditional municipal facility management and maintenance, mainly passive operation and maintenance in the form of "problem discovery and problem solving", is a weak link in refined urban management. On the basis of analyzing the demand of municipal facilities for intelligent management and maintenance, this paper designed the architecture of a smart management and maintenance system. Subsequently, a geographic information system (GIS) map-equipped cockpit module was developed for municipal facilities. Then, data from the edge-side collection system, road operation data, daily maintenance and emergency maintenance data were fused for the real-time operation data access. Deep learning technology was used for the intelligent identification and early warning of typical diseases, such as road cracks, potholes, stagnant water, and ice. The application in actual projects shows that the proposed municipal facility management and maintenance system based on GIS and artificial intelligence (AI) technologies can efficiently assist road and bridge disease identification and analysis of spatiotemporal evolution and development trends and it thus plays an important role in the efficient, high-standard, and intelligent development of municipal maintenance.