Abstract: In order to improve the automation and precision of coal shipping and loading systems, and meet the requirements of smart mine construction, in view of the problems such as manual dependence, poor loading accuracy, data silos and others in the system of Dongtan Coal Mine, intelligent transformation is implemented. The transformation adopts AI algorithm, LiDAR point cloud modeling, and PLC control technology to optimize gate management, upgrade the weighbridge system, and achieve fully automatic loading control. Through IC card, RFID verification, LED screen, and voice guidance, functions such as vehicle positioning, vehicle model identification, carriage detection and others are enhanced, and connect with SAP system to share real-time order, vehicle, and weighing data. After the transformation, the coal loading efficiency of single vehicle is improved by 33%, the total volume of annual shipping is increased by 30%, approximately, the material scattering rate is decreased from 0.3% to 0.1%, the personnel is reduced by 50%, the data transmission accuracy rate is exceeded 99%, the dust emission is reduced by about 30%, and the noise is decreased by about 20%. This system achieves intelligentization, informatization, and unmanned upgrades for coal shipping and loading, providing a guarantee for cost reduction and efficiency enhancement of coal mining enterprises.