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

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

Journal of Electromagnetic Waves and Applications, 2024, vol. 38, issue 16, 1822-1843

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.

Date: 2024
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DOI: 10.1080/09205071.2024.2400999

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