Abstract: Aiming at the problems of high energy consumption and lagging fault diagnosis of traditional mine belt conveyor control system, an intelligent control system of mine belt conveyor is designed based on the background of Shaanxi Yinhe Coal Industry Development Co., Ltd. (hereinafter referred to as “Yinhe Coal Mine”). The system takes data as the core, based on the three-level architecture of “perception-decision-execution” and closed-loop feedback mechanism, integrates machine vision, laser scanning and voiceprint analysis technology, and realizes the functions of intelligent identification and monitoring of belt conveyor state, dynamic identification of coal flow, intelligent speed regulation and fault diagnosis of belt conveyor. The practical application of the system in Yinhe Coal Mine shows that after the operation of the system, the mine transportation efficiency is 20% higher than that of the original system, the power consumption per ton of coal is reduced from 1.8 kWh to 1.2 kWh, and the equipment failure rate is reduced by 54%, which effectively improves the reliability, stability and operation efficiency of the system.