Advance Search
GUO Qinghua. Development and application of precursory information sensing technology in coal mine dynamic disaster[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(11): 76-83.
Citation: GUO Qinghua. Development and application of precursory information sensing technology in coal mine dynamic disaster[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(11): 76-83.

Development and application of precursory information sensing technology in coal mine dynamic disaster

Funds: 

National Key Research and Development Program of China (2016YFC0801405); National Science and Technology Major Project (2016ZX05045006); Key Project of Chongqing Research Institute of middling coal Technology and Industry Group (201003821)

More Information
  • Available Online: April 02, 2023
  • Published Date: November 24, 2022
  • In order to solve the problems of the lack of sensing and monitoring technology for the precursory information of coal mine dynamic disasters, the low precision and poor stability of sensing equipment, this paper analyzed the development trend of coal mine dynamic disaster monitoring technology. It is proposed to use micro-seismic, stress, and gas concentration monitoring technologies as breakthrough points, to develop fiber optic micro-seismic, triaxial stress, distributed multi-point laser methane sensing technologies. A fiber grating three component acceleration sensor based on the fiber grating sensing principle, a microseismic monitoring device and system are developed. The microseismic frequency range reaches 0.5-300 Hz, and the average positioning error is about 11 m.The triaxial stress sensor and monitoring device based on wavelength division multiplexing (WDM) technology are developed, and the three-dimensional space stress vector measurement is realized. The measurement range is 0-30 MPa, and the measurement error is 3%.Based on the principle of laser absorption spectrum, a distributed multi-point laser methane monitoring device and system with multi optical path synchronous data acquisition is developed by using optical fiber optical path multiplexing technology and reference chamber self-calibration technology. The measurement range is (0-100)% CH4, the measurement error is ±3%, and the calibration cycle is 120 days. Finally, starting from the essence of dynamic disaster induced by mining stress disturbance, a technical framework for integrated monitoring of precursor information of coal mine dynamic disaster is constructed, which integrates the three systems of microseismic monitoring, dynamic stress monitoring and coal mine environmental monitoring. The microseismic monitoring system, as a regional monitoring means, monitors the location, energy and other macro data of microseismic sources in real time; As a means of on-site monitoring, the dynamic stress monitoring system is used to identify the impact danger area and degree in real time for the purpose of danger early warning; Combined with the gas emission dynamic index data monitored by the coal mine environmental monitoring system, the coal and gas outburst phenomenon is accurately monitored and forewarned. The system has been intensively demonstrated in Xinjing Mine, Shanxi Province.
  • Related Articles

    [1]ZHANG Kun, MENG Zhaoping, JIN Yi, WANG Baoyu. Fractal characteristics of pore structures on different coal structures and its research significance[J]. COAL SCIENCE AND TECHNOLOGY, 2023, 51(10): 198-206. DOI: 10.13199/j.cnki.cst.2022-1867
    [2]SHANG Fuhua, MIAO Ke, ZHU Yanming, WANG Meng, TANG Xin, WANG Yang, GAO Haitao, FENG Guangjun, MI Wentian. Pore structure, adsorption capacity and their controlling factors of shale in complex structural area[J]. COAL SCIENCE AND TECHNOLOGY, 2023, 51(2): 269-282. DOI: 10.13199/j.cnki.cst.2022-1576
    [3]CHEN Xiangjun, ZHAO San, SI Zhaoxia, QI Lingling, KANG Ningning. Fractal characteristics of pore structure of coal with different metamorphic degrees and its effect on gas adsorption characteristics[J]. COAL SCIENCE AND TECHNOLOGY, 2020, 48(2).
    [4]WANG Boyang QIN Yong SHEN Jian WANG Gang LI Jiuqing, . Mineral features of lignite in Erlian Basin and influences to pore structure[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (9).
    [5]Xi ZhaodongTang Shuheng Zhang Songhang Li Jun, . Pore structure and fractal features of sapropelite[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (11).
    [6]Lin HaifeiWei Wenbin Li ShugangCheng Lianhua, . Experiment study on pore structure of low rank coal affected to gas adsorption features[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (6).
    [7]Gu Yifan Wang Zhaofeng Qi Lingling, . Study on porous structure difference of soft coal and hard coal based on mercury intrusion method[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (4).
    [8]DONG Xian-wei WANG Fu-sheng MENG Ya-ning, . Coal Spontaneous Combustion Tendency Affected by Coal Microscopic Pore Structure[J]. COAL SCIENCE AND TECHNOLOGY, 2014, (11).
    [9]Different Chemical Pre-Treatment Affected to Pore Structure Features of Shenfu Fine Coal[J]. COAL SCIENCE AND TECHNOLOGY, 2013, (3).
    [10]Study on Different Dry Methods Affected to Porous Structure of Lignite and Re- adsorption Characteristic[J]. COAL SCIENCE AND TECHNOLOGY, 2012, (10).
  • Cited by

    Periodical cited type(1)

    1. 康红普,雷亚军,赵福堂,徐刚,李增林,李明忠,王锐,黄志增,刘江斌,马英,韩存地,冯彦军,张震,张金虎,任建超,宋业杰,曾明胜,程利兴. 特厚煤层10 m超大采高综采关键技术及装备. 煤炭学报. 2025(04): 1849-1875 .

    Other cited types(0)

Catalog

    Article views (110) PDF downloads (229) Cited by(1)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return