4.4 Article

Development of a ground penetrating radar system for large-depth disaster detection in coal mine

期刊

JOURNAL OF APPLIED GEOPHYSICS
卷 158, 期 -, 页码 41-47

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jappgeo.2018.07.006

关键词

GPR; Mine disaster source; Low frequency antenna; Large-depth detection; Explosion-proof

资金

  1. National Natural Science Foundation of China [41504112]
  2. Central-level Large Scientific Equipment Development project, the Key Laboratory of Coal Resources and Safe Mining [00-80021611]

向作者/读者索取更多资源

With the increasing coal mining efficiency, the geological disaster sources in the mine serious threat production safety, Ground Penetrating Radar (GPR) is widely used for detecting those hidden disaster sources attributed to the advantage of high precision, but with detection distance limitation. We describe a novel GPR system for large depth disaster detection in mine, which has the large-depth detection ability and the explosion-proof capability to adapt to the mine working environment. In comparison with the existing GPR systems, this novel system is improved with the following design features: the step acquisition accuracy of the host control unit is improved to be 2 ps; the split pluggable low frequency combined antenna realizes the impedance matching and improves the detection distance; a photoelectric conversion module is developed to guarantee 6000 m transmission distance for the high-frequency synchronization signal in mine. We carry out some experiments to validate the design, and the measurement results show that: the proposed GPR system can realize the fine exploration and the accurate identification; the maximum detection distance can be up to 80 m with reflection method and 300 m with transmission method under uniform geological conditions, which break the current detection distance limitations within 30 m, simultaneously, the detection accuracy can be up to 3 m. We expect that the proposed GPR system will be used for the large-depth geological disaster sources detection and provide an advanced approach for improving mining safety. (C) 2018 Elsevier B.V. All rights reserved.

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