Volume 49 Issue 6
Jun.  2023
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DENG Jun, QU Gaoyang, REN Shuaijing, et al. Research on underground coal fire source detection[J]. Journal of Mine Automation，2023，49(6)：68-77.  doi: 10.13272/j.issn.1671-251x.18096
Citation: DENG Jun, QU Gaoyang, REN Shuaijing, et al. Research on underground coal fire source detection[J]. Journal of Mine Automation，2023，49(6)：68-77.  doi: 10.13272/j.issn.1671-251x.18096
shu

Research on underground coal fire source detection

doi: 10.13272/j.issn.1671-251x.18096
  • 1.

    College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an 710054, China

  • 2.

    Key Laboratory for Prevention and Control of Coal Fires in Shaanxi Province, Xi'an 710054, China

  • Received Date: 2023-04-03
  • Rev Recd Date: 2023-05-15
    • Available Online: 2023-05-15
    Abstract
  • This paper introduces the evolution and development process of coal fire and its features. This paper expounds on the detection mechanism and research progress of four layers of space exploration technology divided according to the different spatial positions of detectors. The technologies include underground, surface, aerial, and aerospace detection methods. The paper analyzes the advantages and disadvantages of the above four detection technologies. The existing research problems are pointed out. ① The detection precision is insufficient and it is difficult to accurately delineate the acquisition range. ② The detection technology is outdated, and it is difficult to accurately detect high-temperature points in fire areas. ③ The detection method is single and cannot accurately determine the specific information of underground coal fire combustion. In view of the new features of underground coal fire, such as concealment, coupling and complexity, the development directions of underground coal fire detection technology are proposed. ① The detection instrument data needs to be finely processed, so as to improve the sensitivity of magnetic difference to temperature, the detection precision of the resistivity method, the feature extraction rate and the result precision of the infrared detection method. ② It is suggested to utilize high-tech equipment to serve coal fire detection technology. ③ It is suggested to improve the collaborative utilization of multi-level detection technology. Firstly, large-scale fire detection is carried out using the four th level aerospace remote sensing technology to obtain the basic spatial distribution features of underground coal fire anomalies. Secondly, further exploration is carried out using the third level aerial remote sensing detection technology to obtain the specific spatial distribution of underground coal fires. Finally, a more detailed distribution of high-temperature points in the coal field fire area is obtained by using the surface detection technology and underground detection technology at the second level and the first level to supply and verify. ④ It is suggested to develop 3D visual and dynamic monitoring and early warning of coal field fire areas. 3D inversion and joint inversion imaging are performed by use of data from four different levels of detection technology. Based on the imaging results, visual monitoring and early warning of coal fire development and spread are carried out, so as to achieve active prevention and control of underground coal fine disasters.

     

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