Science & Technology Review
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2015, 33(4): 56-60
• Articles •
Optimization of drifting ventilation method for high-altitude mine
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GONG Jian, HU Nailian, CUI Xiang, WANG Xiaodong
Affiliations
Published: 2015-02-28
doi: 10.3981/j.issn.1000-7857.2015.04.009
Outline
In order to solve the drifting ventilation problem in high-altitude mines, a comprehensive evaluation model for ventilation is established based on the basic theory of analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). Three kinds of compound drifting ventilation methods are evaluated with a poly-metallic ore in Tibet autonomous region as the engineering background. First, evaluation indexes of ventilation system are selected from three aspects: technology, economy and security, according to the special environment of negative pressure and hypoxia in high-altitude mines. Then, the weight matrix of each evaluation index is determined objectively through the AHP method. Finally, the closeness is analyzed with the combination of TOPSIS method and the superior degree of each ventilation method is calculated. The results show that the second ventilation method, i.e., far-pressing-near-absorption, is the optimal. The optimization results calculated by AHP-TOPSIS method are scientific and reasonable and in line with the actual production, which can provide a theoretical basis for the selection of drifting ventilation method for high-altitude mines.
drifting ventilation
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analytic hierarchy process
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technique for order preference by similarity to ideal solution
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highaltitude mine
龚剑, 胡乃联, 崔翔, 王孝东.
高海拔矿山掘进通风方式优选.
科技导报,
2015
, 33
(4)
: 56
-60
.
DOI: 10.3981/j.issn.1000-7857.2015.04.009
GONG Jian, HU Nailian, CUI Xiang, WANG Xiaodong.
Optimization of drifting ventilation method for high-altitude mine[J].
Science & Technology Review,
2015
, 33
(4)
: 56
-60
.
DOI: 10.3981/j.issn.1000-7857.2015.04.009
Year 2015 volume 33 Issue 4
PDF
551
182
Cite this Article
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Article Info
doi: 10.3981/j.issn.1000-7857.2015.04.009
- Receive Date:2014-08-19
- Online Date:2015-03-19
- Published:2015-02-28