TITLE:
Optimization Study of Outburst Prevention Measures for Tuzhu Coal Mine Based on Fixed Weight Clustering Analysis
AUTHORS:
Wenke Luo, Shiliang Shi, Yi Lu, Shenghua Zou, Zaian Chen, Liliang Chen
KEYWORDS:
Coal-Gas Outburst, Grey Theory, Fixed Weight Clustering Analysis, Regional Outburst Prevention Measures
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.4 No.1,
January
29,
2016
ABSTRACT: Affected
by many involved factors, different dimensions, data with large difference,
incomplete information and so on, the most optimal selection of regional
outburst prevention measures for outburst mine has become a complicated system
project. The traditional way of outburst prevention measure selection belongs
to qualitative method, which may cause high-cost of gas control, huge
quantities of drilling work, long construction time and even secondary
disaster. To solve the above-mentioned problems, in light of occurrence status
of coal seam gas in No. 21 mining area of Jinzhushan Tuzhu Mine, through grey
fixed weight clustering theory and a combination method of qualitative and
quantitative analysis, the judging model with multi-objective classification
for optimization of outburst prevention measures was established. The three
weight coefficients of outburst prevention technology scheme are sorted, in
order to determine the advantages and disadvantages of each outburst prevention
technology scheme under the comprehensive evaluation of multi-target. Finally,
the problem of quantitative selection for regional outburst prevention
technology scheme is solved under the situation of multi-factor mode and
incomplete information, which provides reasonable and effective technical
measures for prevention of coal and gas outburst disaster.