Abstract: In view of the production safety problem that the working point of the traditional local fan will cause real-time deviation with the advance of the driving lane,in order to study the influence of multiple environmental parameters (dust concentration,methane concentration,temperature and humidity,etc. ) on the wind speed of the excavation roadway,explore the way of intelligent control technology to guide the local fan frequency conversion operation,and realize the real-time monitoring, collaborative prediction and frequency conversion control of the ventilation state of the driving surface,an intelligent variable frequency ventilaiton risk control system for driving face was designed. Based on the intelligent control theory,grey correlation analysis algorithm was used to extract the key factors affecting the air demand of the excavation roadway,and the genetic-neural network wind speed prediction optimization model was established with the key factors as the input layer. The monitoring program and remote control interface of Kingview host computer were developed. S7-200 SMART PLC is used to build the intelligent variable frequency pass risk control system based on proportional-integral-differential ( PID) air flow closed-loop control technology. The results show that the genetic-neural network wind speed prediction optimization model can cooperate to predict the wind speed according to the environmental parameters of different working conditions of the tunneling surface. The intelligent variable frequency ventilation control system can monitor the environmental parameters of the underground driving face in real time through the configuration interface,and also provides two remote control methods:automatic and manual. Compared with the constant power supply frequency,PID air volume closed-loop control technology can control the fan air volume by remote intelligent frequency conversion,so that the actual wind speed of the roadway can approach the predicted value continuously and stably. The intelligent variable frequency ventilation control system can be widely used in different types of mines to realize the adaptive control response of ventilation equipment.

Key words: intelligent control,variable frequency ventilation,real-time monitoring,airflow prediction,closed-loop control