Abstract: The underground rail transportation system of the Zhongguan Iron Mine was originally de ⁃ signed in a traditional mode，which had disadvantages such as large crew size，complex scheduling，low transportation efficiency，and high safety risks.To improve production safety and efficiency，through indus⁃ trial Ethernet and mobile 5G technology，an ethernet ring network and a fully covered wireless communica ⁃ tion network were established.Surface centralized control centers，communication terminals，and monitor⁃ ing systems were installed，enabling remote control of the rail transportation.The transportation route was simplified and adjusted，and a intelligent scheduling algorithm was introduced to achieve intelligent sched ⁃ uling throughout the process.Then，the three-dimensional joint application of physical equipment，trans⁃ mission technology，and intelligent protocols was employed to solve communication interference and attenu ⁃ ation problems caused by complex geological conditions，increasing the equipment availability rate from 86%to 98.6%.Finally，by integrating inertial positioning and RFID positioning methods，the positioning error of the locomotive was eliminated，achieving precise and real-time positioning of the locomotive. Through the integration and upgrade of multiple technologies such as AI，the Zhongguan Iron Mine achieved intelligent control of the entire process of loading，transportation，and unloading at the loading station of the rail transportation system，reducing the underground crew size by 40 people for the rail trans⁃ portation system.During the operation of the locomotive，the operation area was managed without human intervention.The use of the AI intelligent alarm system reduced the number of human errors and prevented safety accidents.The intelligent system automatically selected the optimal path，increasing the transporta⁃tion efficiency by 37%，and achieving the purpose of promoting the application of intelligent scheduling technology for underground magnetic iron mines with large water content.

Key words: underground rail transportation system, communication network, RFID positioning