In order to improve the level of intelligent and unmanned loading stations and avoid overloading,over height,and uneven loading of trains,a train loading quality monitoring platform based on lidar was studied.The platform performs 3D scanning and reconstruction of empty and heavy carriages before and after coal loading to detect abnormal situations such as empty residual materials and frozen bottoms,in order to control the loading capacity,alarm for abnormal situations such as overloading and uneven loading of heavy carriages,and control the action of the flat coal compaction device.The aim is to achieve intelligent perception,remote monitoring,and unmanned operation in the railway loading process,and to reduce manpower and increase efficiency.
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