School of Safety and Emergency Management Engineering, Taiyuan University of Technology

In order to meet the strategic needs of intelligent upgrading of mine ventilation system, the design principle, logicalstructure and specific implementation of intelligent ventilation precision control system are studied. The current situationof intelligent ventilation control system is reviewed from three aspects of state perception, control algorithm and controlstrategy. In view of the shortcomings of the current intelligent ventilation control system that each research field isseparated from each other and the data are difficult to support each other, starting from the top-level design, the whole lifecycle design principle of the system with the fusion of perception algorithm and control algorithm as the core is proposed.Based on this, the logical framework with the edge’s integration of perception and control as the core is proposed. Thehardware and software platform of mine intelligent air conditioning is designed and built, and various measures are takento ensure the safety of people and vehicles and the reliable operation of the system. Aiming at the specific problem that thestate perception and precise control algorithm are relatively separated in the traditional framework, which leads to thesensitivity of air volume control to noise, a proportional integral differential closed-loop control algorithm combined with the Kalman filter is proposed to accurately track the air volume of roadway, and the decision and control concepts of expertmodeling, algorithm optimization and equipment linkage are integrated. Finally, in the hardware and software platformof mine intelligent air conditioning, the accurate tracking experiment of wind window air volume in normal periodand the smoke flow elimination experiment in disaster period are carried out. The experimental results show that comparedwith the traditional proportional-integral-derivative closed-loop control algorithm, the proportional-integral-derivativeclosed-loop control algorithm combined with the Kalman filter improves the accuracy, anti-interference and overall efficiencyof air volume tracking by 20.3%, 17.4% and 13.9%, respectively, and realizes the accurate and efficient control ofair volume in the normal period. In the smoke flow exclusion experiment, the real-time control of constant pressure differenceon both the sides of the wind window can take into account the suffocation fire extinguishing and the prevention ofsmoke flow invasion, so as to achieve the precise control of smoke flow in the disaster period. The two experiments verifythe effectiveness of design principles and logical framework of intelligent ventilation precise control system.

张智韬，李雨成，李俊桥，等. 智能通风精准调控系统架构及实现[J]. 煤炭学报，2023，48(4)：1596−1605

ZHANG Zhitao，LI Yucheng，LI Junqiao，et al. Architecture and implementation of intelligent ventilation precise control system[J]. Journal of China Coal Society，2023，48(4)：1596−1605