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Academic Journal of Engineering and Technology Science, 2020, 3(6); doi: 10.25236/AJETS.2020.030612.

Research on Mathematical Model of Emergency Response of Coal Mine Gas Overrun


Guangyu Sun1, *, Fuling Yang1, Dechun Ai1, Chaoxin Qi2, Zebiao Jiang3, 4, Zhaoyang Yu3, 4

Corresponding Author:
Guangyu Sun

1 School of Mining and Civil Engineering, LiuPanshui Normal University, LiuPanshui 553001, GuiZhou;
2 Shuicheng Supervision Bureau of Guizhou Coal Mine Safety Supervision Bureau, LiuPanshui 553000, GuiZhou;
3 Mining College, GuiZhou University, Guiyang550025, GuiZhou;
4 GuiZhou Province Mining and Safety Technology Center of Complicated Geological Mine, Guiyang550025, GuiZhou
*Corresponding author


In order to effectively prevent coal mine gas overrun accidents and realize mine safety production, this paper establishes an emergency response mode for coal mine gas overrun based on the principle of feedback control. Secondly, on this basis, applying the theory of "system algebraic state equation" and using MATLAB as the technical means to obtain the mathematical expression of the response, the mathematical model of the emergency response of coal mine gas exceeding the limit was established. Thirdly, use Origin software to draw the transition response curve when the expression takes different parameters. The results show that the operation results of the established mathematical model of coal mine gas overrun emergency response are consistent with the actual response process conditions, verifying the mathematical model built The correctness of this method provides a new working idea for coal mine gas overrun control.


gas overrun, emergency response, mathematical model

Cite This Paper

Guangyu Sun, Fuling Yang, Dechun Ai, Chaoxin Qi, Zebiao Jiang, Zhaoyang Yu. Research on Mathematical Model of Emergency Response of Coal Mine Gas Overrun. Academic Journal of Engineering and Technology Science (2020) Vol. 3 Issue 6: 103-120. https://doi.org/10.25236/AJETS.2020.030612.


[1] Chen Xiao kun, Cai Can fan, Xiao yang. Statistical analysis of coal mine gas accidents in my country from 2005 to 2014[J]. Coal mine safety, 2016, 47(02): 224-226+230.
[2] Liang Guo dong, Guo jian. Statistical Analysis on the Causes of Coal Mine Gas Accidents[J]. Energy and environmental protection, 2018(11): 75-78.
[3] Li Jiang feng. Analysis and Countermeasures of Coal Mine gas overrun Accident[J]. Henan Science and Technology, 2011(01): 84.
[4] Liu Qiao yan, Dong Fu wei. Talking about the countermeasures of controlling gas accidents[J]. Zhongzhou Coal, 2007(05): 94-95.
[5] Miao De jun. Research on coal mine accident model and control method[D]. Shandong University of Science and Technology, 2004.
[6] Wen Wei, Deng Zhilu, Deng Ganbo. The occurrence mechanism and prevention technology of coal mine accidents[J]. Shaanxi Coal, 2008(06): 47-48.
[7] Li Jun, Wang Jijun, Wang Jingbin. Research on prediction and early warning of hidden dangers in coal mines[J]. Shandong Coal Science and Technology, 2010(05): 164-165.
[8] Cui Xiuwei. Safety control theory and application of coal mine gas disaster[D]. Xi'an University of Science and Technology, 2011.
[9] Sun Haimin. Comparative analysis of coal mine safety management models in my country[J]. China High-Tech Enterprises, 2013(34): 93-95.
[10] Dorf R C, Bishop R H. Modern control systems[M]. Pearson, 2011.
[11] Guo Tingde. Application of Cybernetics in Safety Production Management[J]. Chinese and Foreign Entrepreneurs, 2012(05): 103-104.
[12] Song Zhongjiang, Guo Rui. Analysis of the Theory and Development Status of Automatic Control System[J]. Electronic Test, 2018(08): 119+121.
[13] Zhang Zihui. Thermal measurement and automatic control[M]. Beijing: China Building Industry Press, 1996.
[14] HanJing, Zhu Yulong. Transfer function modeling and simulation application[J]. Science & Technology Communication, 2016, 8(19): 245-247.
[15] You Xiaojun. Automatic Control Theory[M]. Beijing: China Electric Power Press, 2016.
[16] Yu Qixiang, Cheng Yuanping. Mine Gas Prevention and Control[M]. Jiangsu: China University of Mining and Technology Press, 2012.