Based on 1:1 3D modeling, a station-level digital-twin simulation environment lets in-station inspection customize routes and equipment, fusing video event parsing to build automated inspection tasks and reduce manual patrol frequency; tunnel inspection covers building structure, equipment layout and pipeline distribution. AI-driven inspection robots scan tunnels and tracks for deformation and anomalies around the clock. Combined with historical maintenance data, equipment lifecycle records generate preventive maintenance plans. The simulation base can also simulate extreme conditions (rainstorms, faults) to verify equipment resilience.

A VR training module simulates ticketing, equipment fault handling and large-crowd guidance to improve staff operational standards and emergency response. New employees immerse in rainstorm flood-control setup via VR, with real-time step recording and assessment reports. The twin environment also validates and iteratively optimizes plans, forming a closed loop of “training – drilling – improvement”.