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Experimental study on ventilation supply–demand matching to dispense the stope gas disaster risk of coal mines.
- Source :
- Geomatics, Natural Hazards & Risk; Dec2020, Vol. 11 Issue 1, p1299-1318, 20p
- Publication Year :
- 2020
-
Abstract
- During coal mine production, the unbalanced emission of stope gas and other toxic and harmful gases can easily lead to major disasters and accidents. In view of the structural characteristics of coal mine excavation ventilation system, a three-dimensional ventilation network (VN) experimental model with an independent stope is constructed and regulated fan frequency conversion (FC) is developed. The concept of influenced degree is proposed, and it is quantified for the stope branch in a complex VN model. An experiment is conducted on FC and air-regulating dilution of quantitative gas release. It is concluded that the gas concentration in the stope of a working face has a power function relationship with the working frequency of the fan. According to mining replacement characteristics, five wind regulation rules for supply and demand matching (SDM) were set during a working day, and the feasibility of dynamic treatment and control adjustment of the gas emission at the mining surface was verified experimentally. Finally, the dynamic SDM control model of stope ventilation has been applied in a mine operated by the Yangquan coal mine. The results show that the stope gas disaster risk can be dispensed quickly and effectively when the emission is unbalanced. [ABSTRACT FROM AUTHOR]
- Subjects :
- COAL mining
RISK assessment
MACHINE learning
RANDOM effects model
GEODYNAMICS
Subjects
Details
- Language :
- English
- ISSN :
- 19475705
- Volume :
- 11
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Geomatics, Natural Hazards & Risk
- Publication Type :
- Academic Journal
- Accession number :
- 147676931
- Full Text :
- https://doi.org/10.1080/19475705.2020.1788172