On April 17, Baoshen Railway recorded a daily transportation volume of 223 trains and 922,000 tonnes, maintaining a high level of transportation to ensure stable energy supplies.

Baoshen Railway Group has been fully implementing its “1531+N” comprehensive logistics transportation development layout, strictly adhering to the principles of prioritizing coal transport while accommodating non-coal transport and favoring east-bound transportation while balancing west-bound transportation. By maximizing throughput on the South Line of Baotou-Shenmu Line and the Shenmu-Shuozhou Line main corridors, the Group works to channel flows from three aspects: local coal, thermal coal and non-coal transport, to enhance overall transportation volumes. The Group prioritizes the allocation of well-conditioned C80 and C70 vehicles to stations experiencing tight capacity to ensure smooth implementation of transportation plans by increasing loading speeds and the number of 10,000-tonne train marshalling while reducing the latency time of queueing up for loading and the number of loaded cars awaiting train makeup. To meet high transportation demands, the Group dynamically adjusts some electric locomotives to handle shunting tasks to guarantee stable power supplies, and explores new ideas and models for coupling 10,000-tonne heavy-haul trains, further leveraging the potential of core loading hubs to enhance the Group’s transportation and organization efficiency.

In addition, in addressing harsh weather conditions such as high winds, the Group monitors real-time meteorological information and conducts comprehensive inspections of power supply, electrical equipment, track, bridge & subgrade equipment, and safety protection facilities, promptly eliminating potential safety hazards to ensure safe and stable transportation. Currently, 38 intelligent inspection robots have been deployed to conduct automated inspections on tracks, catenary, and other equipment. The Group has also installed 120 meteorological monitoring and early warning devices along the railway, allowing for disaster risk forecasting up to six hours in advance, effectively responding to extreme weather impacts and solidifying the foundation for safe railway transportation.