The Application on Risk Evaluation of Gas Explosion in Heading Face Based on Unascertained Measurement Model

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Abstract:

According to influence factors of heading face gas explosion in coal mine, selection principle based on evaluation indexes, combined with Coal mine safety regulations, Technical standards for gas extraction and experts advice, the multilevel evaluation sets of gas explosion risk in heading face was established, and the weight of each evaluation factors was determined by information entrop, finally, a coal mine was evaluated by using the unascertained measure evaluation model we had established, then security level of the coal mine was achieved. The results showed the unascertained mathematical theory was applied on comprehensive evaluation of the gas prevention and control in mine heading face, it had important significance to prevent the occurrence of gas explosions and other accidents in heading face.

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395-400

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July 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Li Chengqiu, He Xueqiu. Prediction method of coal and gas outburst dangerous level in coal roadway face. Journal of China University of Mining & Technology. Vol. 34 (2005), pp.74-76.

Google Scholar

[2] Gas geology laboratory of Jiaozuo mining institute, in: Geology introduction of gas, Coal industry press, (1990).

Google Scholar

[3] Hang Zixu, Liu Gaofeng, Lv Runsheng, et al. Regional forecast of coal and gas burst based on fuzzy pattern recognition. Journal of China Coal Society. Vol. 32 (2007),pp.592-595.

Google Scholar

[4] Tao Yunqi, XuJiang, Li Shuchun. Predict gas emissing quantity of mining coal face with improved Grey Markov model. Journal of China Coal Society. Vol. 32 (2007), pp.391-395.

Google Scholar

[5] Li Chengwu, Xu Yanchao. The main factors of coal and gas outburst based on component analysis. Safety in coal mines. Vol. 38 (2007), pp.14-18.

Google Scholar

[6] Fam Jinzhi, Guo Deyong, Zhang Jianguo. Weight of determining affecting factors of coal and gas outburst with hierarchial analysis. Mining safety & environmental protection. Vol. 31 (2004) , pp.4-8.

Google Scholar

[7] Wang Qijun, Cheng Jiulong. Forecast of coalmine gas concentration based on the immune neural network model. Journal of China Coal Society. Vol. 33 (2008), pp.665-669.

Google Scholar

[8] Zhao Fujun, Xie Shiyong, Yang Lei. Study on optimization of mine ventilation system based on AHP-FCE model. China Safety Science Journal. Vol. 16 (2006), pp.91-96.

Google Scholar

[9] Shi Shiliang, Wang Haiqiao, in: Mine safety evaluation of nonlinear dynamics, Coal industry press, (2001).

Google Scholar

[10] Sun Shuliang. Fuzzy comprehensive evaluation of gas explosion hazard in heading face. Coal economic research. Vol. 11 (2009), pp.78-82.

Google Scholar

[11] Liu Kaidi, Cao Qingkui, Pang Yanjun. A method of fault diagnosis based unascertained set. Acta automatica sinica. Vol. 30 (2004), pp.747-756.

Google Scholar