Abstract:The rapid development of 5G, cloud computing, AI and other ICT technologies has provided new development opportunities for traditional mines. Mines are faced with key structural problems such as insufficient resources, increasing mining difficulty, high production cost per unit of ore, and high risk of future labor force, which urgently need to be solved by digital and intelligent means. Narrow rail transportation of raw ore is an important process of mining. The deployment of unmanned electric locomotive is of great significance to the construction of intelligent mine. The synchronous automatic alignment of multi-vehicle bucket in the unmanned electric locomotive is an important link of unmanned driving, and it is also a technical difficulty that unmanned driving needs to break through. This research applies the integration of new technologies such as “laser sensor, liDAR, AI vision, radio frequency beacon, and high precision coding” to complete the complex process of multi-bucket synchronous automatic alignment loading, which can achieve the goal of electric locomotive unmanned driving and production efficiency requirements.