Current Research Status and Development Trends of Mine Ventilation Technology in China
DOI:
https://doi.org/10.54691/ysztta02Keywords:
Mine Ventilation; Technological Status; Development Trends; Intelligence; Digitization; Green Mine.Abstract
Mine ventilation is a crucial safeguard for safety in mine production. This paper provides an in-depth analysis of the current development status and future trends of mine ventilation technology in China. By reviewing the technological evolution, intelligent transformation practices, breakthroughs in key technologies, and the effectiveness of industry applications, it reveals the core values of mine ventilation systems in ensuring safety, enhancing energy efficiency, and promoting green development. Combining policy guidance, market demands, and directions of technological innovation, the paper indicates that future mine ventilation technology will evolve towards deep intelligence, full-factor digitization, and green and low-carbon development. Furthermore, it proposes development suggestions such as strengthening basic research, improving standard systems, and cultivating interdisciplinary talents, providing theoretical support for promoting safe and efficient mining operations in China.
Downloads
References
[1] Liu Qingrun, Yin Qiangqiang, Zheng Kai. Current Situation Analysis and Development Trends of Mine Ventilation Systems [J]. China Nonferrous Metals, 2024, (S2): 288-290.
[2] Lü Libin. Research on Intelligent Mine Ventilation and Its Development Direction [J]. Energy and Energy Conservation, 2025, (04): 131-133+206.
[3] Hu Xiao, Wang Ning. Optimization and Intelligent Management of Coal Mine Ventilation Systems [J]. Industrial and Mining Automation, 2024, 50(S2): 33-34+56.
[4] Gao Shaowei. Progress in Intelligent Ventilation Systems for Underground Coal Mines [J]. Energy and Energy Conservation, 2023, (11): 179-181.
[5] Wang Jinpeng. Construction and Application of Intelligent Ventilation Systems in Coal Mines Based on the Smart Mine Framework [J]. Shanxi Coal, 2021, 41(03): 116-119.
[6] Liu Chengsi. Theoretical Basis and Solution Methods for Air Distribution in Mine Ventilation Networks [J]. Coal Mine Safety, 1982, (03): 1-10.
[7] Wang Conglu, Li Shuqing, Wu Chao. Mine Ventilation Systems and Dissipative Structure Theory [J]. China Safety Science Journal, 2004, (06): 14-16.
[8] Guo Mingming. Research on Mine Ventilation Resistance Measurement and Resistance Reduction Technology Based on the Differential Pressure Method [J]. Energy and Environmental Protection, 2024, 46(12): 90-94+103.
[9] Wu Lianghong, Zhang Yanyun, Zuo Cili, et al. Deep Reinforcement Learning Optimization for Airflow in Mine Ventilation Networks Considering Uncertain Air Demand [J/OL]. Control and Decision, 1-10 [2025-09-26].
[10] Zhang Haishun. CFD Simulation of Airflow Patterns in Fully Mechanized Mining Faces [J]. Inner Mongolia Coal Economy, 2018, (23): 41-42.
[11] Tan Guowen. Visual Dynamic Calculation and Early Warning Technology for Complex Mine Ventilation Networks [J]. Industrial and Mining Automation, 2020, 46(02): 6-11.
[12] Zhang Mingguang, Liu Chenglun, Chen Qu, et al. Development of an Unsteady Numerical Simulation System for Complex Ventilation Networks [J]. Coal Mine Safety, 2015, 46(08): 181-184.
[13] He Wenyang. Current Development Status of Mine Ventilation Machinery and Technology in China [J]. Mechanical Management and Development, 2016, 31(11): 169-170.
[14] Wu Ruijie, Song Xiaofeng, Zhang Jicheng, et al. Development of an Automatic Air Door Control System Based on MineHarmony [J]. Modern Chemical Research, 2024, (21): 185-187.
[15] Gao Jianfeng. Energy Efficiency and Safety Control of Coal Mine Ventilation Systems Based on IoT Technology [J]. Energy and Energy Conservation, 2025, (06): 101-103.
[16] Jiang Xianlu. Development and Application of a Dynamic Optimization Platform for Intelligent Ventilation Systems Based on Digital Twin [C]// Chongqing Big Data and Artificial Intelligence Industry Association. Proceedings of the Academic Symposium on Artificial Intelligence and Economic Engineering Development (II). Zhuji Huanjiang Commercial Operation and Management Co., Ltd., 2025: 386-389.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Scientific Journal of Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






