To address the challenges of accessing massive data and making reasonable use of information and communication infrastructure resources,this paper discusses the key technologies of the cloud-edge-end collaborative system in smart rail transit.The overall framework and technical architecture of smart rail transit systems are summarized,emphasizing and the common characteristics of the intelligent evolution of each professional system are presented.The management,processing capabilities,bandwidth occupancy,real-time and other characteristics of cloud centers,edge computing platforms and terminals are analyzed,cloud-edge collaboration methods for smart rail transit are studied,and matching system hierarchical architecture and network architecture are proposed.On this basis,taking the catenary intelligent maintenance system as an example,a typical system solution is proposed in which a single maintenance vehicle is equipped with edge computing nodes to integrate various intelligent terminals to achieve independent detection and maintenance capabilities,and is managed,optimized,and iterated through a cloud center.The cloud-edge-end collaborative system helps achieve effective integration between ubiquitous sensing,efficient processing,and information and communication infrastructure in rail transit,presenting broad prospects in smart rail transit.
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