Research Status and Development Trends of Intelligent Ventilation Technology in Coal Mine

Zhendong Zhang

doi:10.54097/fmqwgp73

Authors

Zhendong Zhang

DOI:

https://doi.org/10.54097/fmqwgp73

Keywords:

Intelligent ventilation in coal mine; intelligent perception of ventilation parameters; intelligent control of ventilation facilities and equipment; intelligent decision-making in ventilation techniques; optimized design of ventilation systems.

Abstract

Coal mine ventilation is a core aspect of ensuring safe production in coal mines, and its intelligent development holds significant importance for enhancing coal mine safety, efficiency, and sustainability. This paper elaborates in detail on the current technological status of intelligent ventilation technology in coal mines across various aspects, including intelligent perception of ventilation parameters, intelligent control of ventilation facilities and equipment, intelligent decision-making in ventilation techniques, optimized design of ventilation systems, maintenance and management of ventilation equipment, as well as ventilation supervision systems and technical standards. It also analyzes the existing problems and challenges. Meanwhile, it looks ahead to the development trends of intelligent ventilation technology in coal mines in terms of technological innovation, system integration, industry convergence, green energy conservation, and international cooperation, providing a reference for further research and application of intelligent ventilation technology in coal mine.

Downloads

Download data is not yet available.

References

[1] Chu Zonghui, Hou Kai, Zhao Shuguo, et al. Research Status and Development Direction of Coal Mine Ventilation Technology [J]. Science and Technology & Innovation, 2024, (16): 126-128.

[2] Hu Xiao, Wang Ning. Optimization and Intelligent Management of Coal Mine Ventilation Systems [J]. Industry and Mine Automation, 2024, 50(S2): 33-34 + 56.

[3] Wang Hao, Liu Jialin, Wang Qinghai. Exploration of the Application of Intelligent Ventilation Technology in Gas Control in Coal Mines [J]. Inner Mongolia Coal Economy, 2025, (06): 163-165.

[4] Li Yanhe, Zhao Wanli, Yu Zhenzi, et al. Analysis of Heat Sources and Temperature Field Evolution Laws in High-Temperature Coal Mining Faces in Deep Mines [J]. China Coal, 2024, 50(05): 59-67.

[5] Guo Huaiguang. Research and Discussion on the Inducing Mechanism of Gas Dynamic Disasters in Deep Coal Seams [J]. China Coal, 2023, 49(05): 43-49.

[6] Xu Haidong, He Shudong, Su Mingqiang, et al. Precise Early Warning of Coal Mine Disasters and the Architecture and Construction Content of Intelligent Mine Ventilation Systems [J]. Energy and Environmental Protection, 2025, 47(03): 1-10.

[7] Jia Xiaolong. Application and Development Trends of Coal Mine Ventilation Systems [J]. Energy and Energy Conservation, 2024, (04): 307-310.

[8] Li Xuelin. Existing Problems and Solutions for Ventilation Gas Safety in Coal Mines [J]. Energy and Energy Conservation, 2024, (07): 65-67.

[9] Meng Long. Discussion on the Current Status and Prospects of the Development of Ventilation Technology and Equipment in China's Coal Mines [J]. Inner Mongolia Coal Economy, 2021, (10): 147-148.

[10] Lin Qingsong. Current Status and Prospects of the Development of Ventilation Technology and Equipment in China's Coal Mines [J]. Inner Mongolia Coal Economy, 2020, (08): 165.

[11] Wang Qiang. Design of an Automatic Control System for Coal Mine Ventilation Based on Big Data Technology [C]//Guangxi Network Security and Informatization Federation. Proceedings of the 6th Academic Exchange Conference on Engineering Technology Management and Digital Transformation. Shanxi Ningwu Dayun Huasheng Nangou Coal Industry Co., Ltd.; 2025: 322-324.

[12] Lu Jianbo, Mei Yangyang. Design and Implementation of a Coal Mine Ventilation System Based on Reinforcement Learning [J]. Automation Application, 2024, 65(24): 73-75.

[13] Liang Jun. Research on a Rapid Determination Method for the Friction Resistance Coefficient of Ventilation Roadways Based on Big Data [J]. Energy and Environmental Protection, 2024, 46(04): 51-55.

[14] Yang Bo. An Automatic Control System for Coal Mine Ventilation Based on Big Data Analysis [J]. Energy and Environmental Protection, 2023, 45(08): 39-44.

[15] Wang Yanjun. Construction of an Intelligent Perception System for Ventilation Parameters in Gucheng Coal Mine [J]. Mining Equipment, 2023, (06): 152-155.

[16] Gao Ruoyang. Research on an Intelligent Frequency Conversion and Monitoring System for Underground Ventilation in Coal Mines [J]. Mechanical Engineering & Automation, 2025, 54(02): 191-193.

[17] Song Yunlong. Transformation and Application of Intelligent Air Door Control Technology in Pangpangta Coal Mine [J]. Intelligent Mine, 2024, 5(10): 81-84.

[18] Huang Yongqi. Research on Precise Calculation of Air Volume Through Air Windows in Liuzhuang Mine and the Intelligent Control and Management System for Air Doors and Windows [D]. Anhui University of Science and Technology, 2024.

[19] Wang Bin, Liu Zunli, Du Jianhua, et al. Research on Intelligent Decision-Making and Dynamic Control Technologies for Mine Ventilation Systems [J]. Inner Mongolia Coal Economy, 2022, (13): 72-74.

[20] Li Hu. Optimization Design and Energy-Saving Analysis of Underground Ventilation Systems in Coal Mines [J]. Energy and Energy Conservation, 2025, (05): 91-93.

[21] Miao Yi. Optimization of the Operation and Maintenance of Coal Mine Ventilation Systems [J]. Energy and Energy Conservation, 2023, (09): 219-221.

[22] Zou Yinhui, Ju Guangang. Research on Standards for Ventilation Equipment in China's Coal Mines [J]. China Coal, 2022, 48(06): 75-79.