Content area
Intelligent ventilation systems can optimize airflow regulation to enhance mining safety and reduce energy consumption, driving green development in mineral resource extraction. This paper systematically elaborates on the overall architecture, cutting-edge advances, and core technologies of current intelligent mining ventilation. Building upon this foundation, a comprehensive intelligent mine ventilation solution encompassing the entire process of ventilation design, optimization, and operation is constructed based on a five-layer architecture, integrating key technologies such as intelligent sensing, real-time solving, airflow regulation, and remote control, providing an overarching framework for smart mine ventilation development. To address the computational efficiency bottleneck of traditional methods, an improved loop-solving method based on minimal independent closed loops is realized, achieving near real-time analysis of ventilation networks. Furthermore, a multi-level airflow regulation strategy is realized, including the methods of optimization control based on mixed integer linear programming and equipment-driven demand-based regulation, effectively resolving the challenges of calculating nonlinear programming models. Case studies indicate that the intelligent ventilation system significantly enhances mine safety and efficiency, leading to approximately 10–20% energy saving, a 40–60% quicker emergency response, and an average increase of about 20% in the utilization of fresh air at working faces through its remote and real-time control capabilities.
Details
Software;
Linear programming;
Coal mining;
Integer programming;
Mineral resources;
Communication;
Mining accidents & safety;
Optimization;
Closed loops;
Remote control;
Data processing;
Emergency response;
Clean energy;
Information sharing;
Automation;
Energy consumption;
Ventilation;
Nonlinear programming;
Air flow;
Mine ventilation;
Network management systems;
Occupational safety;
Sensors;
Decision making;
Design;
Algorithms;
Mixed integer;
Real time;
Design optimization;
Mining industry;
Energy conservation
; Wen Lixue 2
; Liu, Yulong 2
; Wu Zhaohao 2 ; Wang Liguan 3 ; Ji Xianwei 2 1 State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, Xuzhou 221116, China, Changsha DIMINE Co., Ltd., Changsha 410221, China
2 School of Resources and Safety Engineering, Central South University, Changsha 410083, China
3 Changsha DIMINE Co., Ltd., Changsha 410221, China, School of Resources and Safety Engineering, Central South University, Changsha 410083, China