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QIU Liming, LI Zhonghui, WANG Enyuan, LIU Zhentang, ZHANG Younian, XIA Shankui. Research on remote intelligent monitoring and early warning system for coal and gas outburst[J]. Journal of Mine Automation, 2018, 44(1): 17-21. DOI: 10.13272/j.issn.1671-251x.17276
Citation: QIU Liming, LI Zhonghui, WANG Enyuan, LIU Zhentang, ZHANG Younian, XIA Shankui. Research on remote intelligent monitoring and early warning system for coal and gas outburst[J]. Journal of Mine Automation, 2018, 44(1): 17-21. DOI: 10.13272/j.issn.1671-251x.17276
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Research on remote intelligent monitoring and early warning system for coal and gas outburst

  • 1.

    Key Laboratory of Gas and Fire Control for Coal Mines, Ministry of Education, China University of Mining and Technology, Xuzhou 221116, China； 2.Hunan Key Laboratory of Safe Mining Techniques of Co

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    Abstract
  • For the demand of automation and accuracy of coal and gas outburst early warning, a remote intelligent monitoring and warning system for coal and gas outburst was developed. The system constitution was introduced as well as key technologies including signal monitoring, interference recognition, signal transmission and early warning rules. The system takes sound acoustic emission, electromagnetic radiation and gas concentration as early warning indexes, and realizes remote monitoring and comprehensive early warning of sound acoustic emission, electromagnetic radiation and gas signals during outburst evolution process. Meanwhile, the system can automatically recognize and filter interference signals according to opening or stopping information of electromechanical equipments, so as to improve early warning accuracy of coal and gas outburst. The application result shows the system has high early warning accuracy, which can capture coal and gas outburst risk information in advance of 8-24 hours.
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    4. 张晓垒，权军军，杨港，段守德，郭明功，朱坤飞，邱黎明. 平煤八矿煤柱应力演化规律研究. 中国煤炭地质. 2025(03): 56-63 .
    5. 何志龙，孙谦，宋大钊. 安顺煤矿煤岩电磁辐射测试技术研究. 山东煤炭科技. 2024(02): 103-108 .
    6. 杨科，范超尘，刘静波，吴劲松，池小楼，张杰. 极复杂条件煤层智能化开采安全保障体系及关键技术. 矿业研究与开发. 2024(03): 164-170 .
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    11. 张志刚，张庆华，刘军. 我国煤与瓦斯突出及复合动力灾害预警系统研究进展及展望. 煤炭学报. 2024(S2): 911-923 .
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    XIA Shankui
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      Key Laboratory of Gas and Fire Control for Coal Mines, Ministry of Education, China University of Mining and Technology, Xuzhou 221116, China； 2.Hunan Key Laboratory of Safe Mining Techniques of Co

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