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Academic Journal of Engineering and Technology Science, 2024, 7(1); doi: 10.25236/AJETS.2024.070106.

Evaluation and Optimization Suggestion of Mine Ventilation System in High Altitude Cold Zone


Xuezhan Xu1,2,3

Corresponding Author:
Xuezhan Xu

1School of Safety Science and Engineering, Anhui University of Science & Technology, Huainan, 232001, China

2State Key Laboratory of Coal Mine Disaster Prevention and Control, Chongqing, 400039, China

3CCTEG Chongqing Research Institute, Chongqing, 400039, China


Higher requirements are put forward for the reliability of ventilation system when mining coal resources in high-altitude cold area mines. Taking Yuka No.1 mine as the research object, combined with the current situation of mine ventilation, based on the analysis of mine ventilation capacity, ventilation resistance and ventilation needs, the mine ventilation system is evaluated and optimization suggestions are given. At the present stage, the ventilation of the mine is relatively easy, and the main problems faced by the ventilation are small ventilation section in part of the roadway, complex ventilation network in 1178 comprehensive mining face, and low automation degree of the underground ventilation facilities and the main ventilator on the ground; combining with the evaluation results, we put forward a targeted approach to reduce the resistance and simplify the ventilation network, and at the same time, we introduce intelligent control system on the ground ventilator. Through the evaluation of mine ventilation system and the implementation of optimization measures, the reliability of mine ventilation in Yuka No.1 shaft can be further improved to meet the ventilation needs of mines in high-altitude cold areas.


high-altitude cold area; mine ventilation system; ventilation resistance; main ventilation fan

Cite This Paper

Xuezhan Xu. Evaluation and Optimization Suggestion of Mine Ventilation System in High Altitude Cold Zone. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 1: 32-37. https://doi.org/10.25236/AJETS.2024.070106.


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