Intelligent equalizing pressure ventilation system for coal mine: A case study of the 104 coal mining face in Shige Tai Mine
This study investigates the application of an intelligent equalizing pressure ventilation system in the 104 coal mining face of the Shige Tai Mine. The relationship between the balanced pressure window opening area and the face air volume, as well as the equalizing pressure, was analyzed. A formula for calculating the local resistance of the balanced pressure window was derived. The combined regulation of the equalizing pressure local fan and the balanced pressure window was used to develop an intelligent equalizing pressure ventilation system, which can remotely and intelligently regulate the equalizing pressure of the mining face. The results show that the local wind resistance of the balanced pressure window is negatively exponentially related to its ventilation area, and the ventilation resistance of the working face is positively correlated with the air supply volume. After the combined equalizing pressure regulation, the volume fractions of CO 2 and CO were significantly reduced, meeting the required air volume of the working face and achieving the expected effect of equalizing pressure ventilation. This study provides theoretical references for the intelligent equalizing pressure ventilation in coal mine mining faces.
Authors
- Hanwu Liu (ORCID: https://orcid.org/0000-0002-0019-7363)
- Wei Li (ORCID: https://orcid.org/0000-0001-8224-0590)
- Zongxiang Li (ORCID: https://orcid.org/0009-0009-6464-0422)
- Feng Geng (ORCID: https://orcid.org/0000-0002-5354-3354)
- Yanqing Liu (ORCID: https://orcid.org/0000-0001-8283-4831)
- Ran Peng (ORCID: https://orcid.org/0000-0002-3799-9677)
Institutions
- Liaoning Technical University (CN)
- China University of Mining and Technology (CN)
- China National Administration of Coal Geology (CN)
- Intelligent Health (United Kingdom) (GB)
- China Coal Research Institute (China) (CN)
Publication Details
- Journal
- Energy Reports
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1016/j.egyr.2025.04.019
- Citations
- 3
- Primary Topic
- Evacuation and Crowd Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 3.44