To overcome the limitations of the standalone architecture of traditional smart stations and promote the transformation of urban rail transit toward networked and intensive operation, this paper proposes and verifies a cloud-based deployment paradigm for intelligent switching stations utilizing a line-level cloud platform. First, guided by the Development outline for smart urban rail transit in China, a hierarchical and decoupled construction framework for intelligent switching stations is established, focusing on the flexibility and scalability of the system architecture. Taking Changsha Metro Line 6 as a case study, this paper elaborates on the implementation of cross-service collaboration and data model sharing among stations by leveraging the line-level urban rail transit cloud platform, including the design of data transmission protocols, the construction of platform architecture, and the optimization scheme of information flow. The deployment of the cloud platform has successfully connected the service data links of all stations along the line, enabling centralized monitoring and intelligent dispatching. Practical results show that this paradigm significantly improves the utilization efficiency of hardware resources, reduces operational costs and labor input, and optimizes the business processes of switching stations, cutting the operation time by approximately 80%. Meanwhile, the system effectively reduces the staffing requirement by 3-4 members. This study provides a replicable and scalable cloud migration path for the digital transformation of the rail transit industry. The infrastructure based on the line-level cloud platform can support the core capabilities of intelligent switching stations, realizing an integrated closed loop from "platform construction" to "operational deployment".