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Research on identification method of coal-rock interface based on ground penetrating radar in the driving face of soft coal seam

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  • Ying Tian
  • Chunzhi Li
  • Zihao Wang
  • Shuo Chen
  • Fuyan Lyu
  • Qiang Zhang

Abstract

Coal–rock interface recognition is one of the key challenges in advancing unmanned rapid tunneling systems. To address this, a method based on variations in ground-penetrating radar (GPR) reflection wave amplitude is proposed for identifying coal-rock interfaces in soft coal seams. A mathematical model derived from Maxwell's equations calculates the coal seam area based on the reflected wave amplitude. Experiments using a 400 MHz radar antenna show that the method achieves identification errors of 3.58 cm, 3.74 cm, and 4.23 cm for coal-to-rock ratios of 1:2, 1:1, and 2:1, respectively. In practical applications within a coal mine excavation face, the identification error is 6.64 cm. This method provides crucial data for drum height adjustment and cutting arm speed regulation in unmanned tunneling systems.

Suggested Citation

  • Ying Tian & Chunzhi Li & Zihao Wang & Shuo Chen & Fuyan Lyu & Qiang Zhang, 2024. "Research on identification method of coal-rock interface based on ground penetrating radar in the driving face of soft coal seam," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 38(16), pages 1822-1843, November.
    • Handle: RePEc:taf:tewaxx:v:38:y:2024:i:16:p:1822-1843
    DOI: 10.1080/09205071.2024.2400999
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