Abstract: To address the challenges of low resource management efficiency and insufficient collaborative computing capability existing in the intelligent operation and maintenance of urban rail transit communication systems, this paper proposed an intelligent operation and maintenance platform solution for urban rail transit communication system based on cloud-edge collaboration. It elaborated the overall architecture, technical architecture and functions of the platform, presented two key technologies including cross-professional multi-source heterogeneous data governance and fault alarm tracking, and analyzed the collaborative mechanism of the full-chain intelligent operation and maintenance process covering data perception, feature extraction, fault prediction and strategy generation. The proposed intelligent operation and maintenance scheme for communication systems based on cloud-edge collaboration can make full use of computing and storage resources, improve operation and maintenance efficiency and reduce operation and maintenance costs. It provides technical support for promoting the digital and intelligent transformation of operation and maintenance management of urban rail transit communication systems.