1. Anhui University of Science and Technology,Huainan　 232000,China; 2. Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources, China University of Mining and Technology(Beijing),Beijing　 100083,China; 3. School of Resource and Safety Engineering,China University of Mining and Technology (Beijing),Beijing　 100083,China; 4. School of Mechanics and Civil Engineering,China University of Mining and Technology( Beijing),Beijing
　 100083,China; 5. School of Civil and Resource Engineering,University of Science & Technology Beijing,Beijing　 100083,China; 6. Key Laboratory of Deep Coal Resource Mining,Ministry of Education,China University of Mining and Technology,Xuzhou　 221116,China; 7. China Coal Technology and Engineer-ing Group Chongqing Research Institute,Chongqing　 400037,China; 8. College of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao　 266510,China; 9. Communication and Information Centre,State Administration of Work Safety,Beijing　 100013,China

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.

YUAN Liang,JIANG Yaodong,HE Xueqiu,et al. Research progress of precise risk accurate identification and monitoring early warning on typical dynamic disasters in coal mine[J]. Journal of China Coal Society,2018,43(2):306-318.