Abstract: In response to the severe longitudinal impulse caused by complex marshalling structure and large coupler clearance of heavy-haul freight trains, which put forward strict technical requirements for the construction of auxiliary driving cloud platforms, this paper proposed a cloud platform solution for heavy-haul freight train auxiliary driving based on stationarity analysis. This solution adopted a cloud-edge collaborative architecture. It integrated multi-dimensional sensing terminals at the edge layer to realize high-precision time sequence synchronization and pre-regulation of operating states. At the cloud end, it utilized heterogeneous resource virtualization and elastic scaling technologies to construct data middle platform and intelligent middle platform. The research results realize the in-depth fusion of vehicle-mounted dynamic operation data and railway geographic information system data. This solution provides a systematic solution with engineering application value for quantitative analysis and intelligent control of complex dynamic behaviors of heavy-haul trains, and also offers solid technical support for the construction of auxiliary driving cloud platforms in the heavy-haul railway field.