Research progress on risk identification,assessment,monitoring and early warning technologies of typical dynamic hazards in coal mines

被引：0

作者：

Yuan L. ^{[1
,2
,3
,4
,5
]}

机构：

[1] State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan

[2] Institute of Energy, Hefei Comprehensive National Science Center, Hefei

[3] National & Local Joint Engineering Research Center of Precision Coal Mining, Anhui University of Science and Technology, Huainan

[4] Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources, China University of Mining and Technology (Beijing), Beijing

[5] Key Laboratory of Safety and High-efficiency Coal Mining, Ministry of Education, Anhui University of Science and Technology, Huainan

来源：

Meitan Xuebao/Journal of the China Coal Society | 2020年 / 45卷 / 05期

关键词：

Coal mine; Early warning; Monitoring; Risk assessment; Typical dynamic hazards;

D O I：

10.13225/j.cnki.jccs.dy20.0272

中图分类号：

学科分类号：

摘要：

Focusing on a major scientific problem to be solved,i.e.,"research on the risk identification and monitoring and early warning technology of typical coal mine dynamic disasters",this paper investigates the typical coal mine dynamic disasters such as coal and gas outburst and rock burst.In view of the current situation of unclear mechanism of typical coal mine dynamic disasters,unclear risk identification and warning technology of monitoring and early warning,etc.The research covers ① the development mechanism of rock burst and risk identification and monitoring and early warning,② the coal and gas outburst disaster mechanism and monitoring and early warning,③ the coal mine typical dynamic disaster signal acquisition and transmission and intelligent analysis,and ④ the coal mine typical dynamic disaster monitoring and early warning system platform.A large-scale,true three-dimensional,fully closed and automatic experimental device for the physical simulation of coal and gas outburst is developed.A new type of sensing and fusion transmission sensor device for dynamic disaster precursor information,including fiber Bragg grating micro-seismic sensor,tri-axial stress sensor,and distributed multi-point laser methane detection,is developed.The aggregation theory and method of multi-dimensional and massive dynamic information of underground sensor data are established.The prediction method of typical dynamic disasters and the multi granularity knowledge mining method based on drift characteristics are constructed.A model of judgment,recognition and warning of major coal mine disasters based on big data analysis and data mining is established.Through the field applications,it is shown that the acquisition sensor can realize the comprehensive acquisition of man-machine ring parameters,and has the advantages of self-diagnosis on fault,short response time and long calibration cycle.The non-fault rate of the monitoring and warning system has reached 99% in a stable operation,the anti-interference level is no less than level 3,and the system's monitoring and warning accuracy is more than 90%.The system has realized the online monitoring,intelligent judgment and real-time warning of typical power hazards in coal mines. © 2020, Editorial Office of Journal of China Coal Society. All right reserved.

引用

页码：1557 / 1566

页数：9

共 26 条

[1] YUAN Liang, JIANG Yaodong, HE Xueqiu, Et al., Research progress on key technologies for precise identification and monitoring and early warning of typical dynamic disasters in coal mines [J], Journal of China Coal Society, 43, 2, pp. 306-318, (2018)
[2] ZHAO Y, SUN Y, LIU S, Et al., Pore structure characterization of coal by NMR cryoporometry[J], Fuel, 190, 2, pp. 359-369, (2017)
[3] ZHAO Y, WANG H, LIU S, Et al., Dynamic failure risk of coal pillar formed by irregular shape longwall face:A case study[J], International Journal of Mining Science and Technology, 28, 5, pp. 775-781, (2018)
[4] HAO Xianjie, YUAN Liang, LU Zhiguo, Et al., Elastoplastic constitutive model considering nonlinear elastic mechanical behavior of coal body, Journal of China Coal Society, 42, 4, pp. 896-901, (2017)
[5] ZHAO Yixin, WANG Hao, LU Zhiguo, Et al., Coulomb stress in fault plane under the disturbance of mining and the spatiotemporal evolution of induced earthquakes [J], Journal of China Coal Society, 43, 2, pp. 340-347, (2018)
[6] JIAO Zhenhua, JIANG Yaodong, ZHAO Yixin, Et al., Research on dynamic mechanical response characteristics of working face through fault, Journal of China University of Mining & Technology, 48, 1, pp. 57-66, (2019)
[7] HAO Xianjie, YUAN Liang, WANG Shaohua, Et al., Study on bedding effect of hard coal impact tendency [J], Coal Science and Technology, 46, 5, pp. 1-7, (2018)
[8] DOU Linming, HE Hu, HE Jiang, Et al., Superposition of relative stress concentration coefficients for impact risk assessment [J], Journal of China Coal Society, 43, 2, pp. 327-332, (2018)
[9] WANG Guifeng, DOU Linming, CAI Wu, Et al., Research on the triggering mechanism of unstable energy of rockburst, Journal of China University of Mining & Technology, 47, 1, pp. 190-196, (2018)
[10] SHU Longyong, WANG Kai, QI Qingxin, Et al., Evolution characteristics of stress field and outburst hazard evaluation model of coal roadway face, Journal of Mining and Safety Engineering, 34, 2, pp. 259-267, (2017)

← 1 2 3 →