Abstract: In response to the current situation of low monitoring efficiency and low level of intelligence in traditional ventilation monitoring systems for mining, it is difficult to meet the needs of mine automation and intelligent development. The author applies various sensors such as temperature sensors, humidity sensors, and gas concentration sensors to comprehensively monitor the ventilation conditions of mining wells. With the help of advanced data fusion processing technology to analyze the ventilation conditions, a mine ventilation intelligent monitoring system is designed. The overall architecture of the system is introduced, and the hardware and software parts of the system are designed. The system application test is carried out, and the results show that the application of this system can monitor the ventilation conditions of mines in real time, identify and report potential ventilation risks in mines in a timely manner, achieve intelligent monitoring and adjustment of mine ventilation, and improve the automation and intelligent ventilation level of the ventilation system, Achieved good ventilation application effect.