Architecture and implementation of intelligent ventilation precise control system

Abstract

In order to meet the strategic needs of intelligent upgrading of mine ventilation system, the design principle, logical structure and specific implementation of intelligent ventilation precision control system are studied. The current situation of intelligent ventilation control system is reviewed from three aspects of state perception, control algorithm and control strategy. In view of the shortcomings of the current intelligent ventilation control system that each research field is separated from each other and the data are difficult to support each other, starting from the top-level design, the whole life cycle 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. The hardware and software platform of mine intelligent air conditioning is designed and built, and various measures are taken to ensure the safety of people and vehicles and the reliable operation of the system. Aiming at the specific problem that the state perception and precise control algorithm are relatively separated in the traditional framework, which leads to the sensitivity 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 expert modeling, algorithm optimization and equipment linkage are integrated. Finally, in the hardware and software platform of mine intelligent air conditioning, the accurate tracking experiment of wind window air volume in normal period and the smoke flow elimination experiment in disaster period are carried out. The experimental results show that compared with the traditional proportional-integral-derivative closed-loop control algorithm, the proportional-integral-derivative closed-loop control algorithm combined with the Kalman filter improves the accuracy, anti-interference and overall efficiency of air volume tracking by 20.3%, 17.4% and 13.9%, respectively, and realizes the accurate and efficient control of air volume in the normal period. In the smoke flow exclusion experiment, the real-time control of constant pressure difference on both the sides of the wind window can take into account the suffocation fire extinguishing and the prevention of smoke flow invasion, so as to achieve the precise control of smoke flow in the disaster period. The two experiments verify the effectiveness of design principles and logical framework of intelligent ventilation precise control system.

Keywords

• intelligent ventilation
• precision regulation
• sensory control integration
• system architecture
• logical framework