YUAN Liang, JIANG Yaodong, HE Xueqiu, DOU Linming, ZHAO Yixin, ZHAO Xusheng, WANG Kai, YU Qing, LU Xinming, LI Hongchen. Research progress of precise risk accurate identification and monitoring early warning on typical dynamic disasters in coal mine[J]. Journal of China Coal Society, 2018, (2): 306-318. DOI: 10.13225/j.cnki.jccs.2017.4151
Citation: YUAN Liang, JIANG Yaodong, HE Xueqiu, DOU Linming, ZHAO Yixin, ZHAO Xusheng, WANG Kai, YU Qing, LU Xinming, LI Hongchen. Research progress of precise risk accurate identification and monitoring early warning on typical dynamic disasters in coal mine[J]. Journal of China Coal Society, 2018, (2): 306-318. DOI: 10.13225/j.cnki.jccs.2017.4151

Research progress of precise risk accurate identification and monitoring early warning on typical dynamic disasters in coal mine

  • As a new round of energy revolution is pregnant and the Internet plus era and intelligence development are intensified,the new concept and key technologies of precise risk identification and monitoring early warning of typical dynamic disasters in coal mine are proposed by summarizing the main problems of coal mine typical dynamic disasters prevention in China and investigating how coal mine monitoring early warning copes with the advent of a new round of science and technology innovation. By means of technologies including disaster precursor information acquisition and sensing,multi network fusion transmission and multi-source mass precursor information extraction mining,precise risk identification and monitoring early warning of coal mine typical dynamic disasters is proposed as a new future mining mode and method integrating intelligent mining technique with precursor information depth perception,precise risk identification and monitoring early warning of typical dynamic disasters in coal mine. The mode is based on the con- cept of precise coal mining and evolution mechanism of multiphase multi-field coupling catastrophic. It is able to pro- mote the transformation of the coal mine monitoring early warning from a traditional empirical and qualitative to a pre- cise and quantitative sector,which could comprehensively improve risk identification and monitoring early warning a- bility of China’s coal mine typical dynamic disasters. The research proposes four key scientific problems and eight ma- jor research directions for precise risk identification and monitoring early warning of coal mine typical dynamic disas- ters,and focuses on the research progress of twelve aspects based on basic theory research,key technology development and early warning platform construction. Therefore,it directs the technology route for online monitoring,intelligent i- dentification and real-time precision warning of coal burst,coal and gas outburst and coal-rock gas compound dynamic disaster.
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