The intelligent ventilation system relies on the Internet of things, artificial intelligence, big data and other technologies for intelligent perception of the underground ventilation system, real-time monitoring and calculation of the ventilation network, with fault self-diagnosis and early warning functions, to achieve intelligent early warning of disasters and intelligent planning of disaster avoidance routes, and improve the scientificity and safety of the operation of the mine ventilation system.

Rapid construction and dynamic adjustment of ventilation system model, digital management and intelligent dynamic calculation of ventilation parameters, online diagnosis, prediction and early warning, and rapid disposal of ventilation faults; Deep machine learning and scientific intelligent control to realize intelligent ventilation.

High-precision wind measurement system and ventilation network calculation system shall be constructed to realize local control, remote control and autonomous switching of local ventilator, air door and air window, realize video visual monitoring of system operation, achieve intelligent monitoring and automatic analysis of ventilation monitoring data, and establish dynamic early warning and alarm systems such as three-dimensional ventilation network calculation, ventilation system prediction and early warning, and ventilation resistance calculation.