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

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.

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Publication Details

Journal
Journal of Electromagnetic Waves and Applications
Published
2024-09-20
DOI
https://doi.org/10.1080/09205071.2024.2400999
Citations
4
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
1.34

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article

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

Ying Tian, Shuo Chen, Zihao Wang, Qiang Zhang et al.
4 citations
Journal of Electromagnetic Waves and Applications
Geophysical Methods and Applications
1.34
article

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

Ying Tian, Shuo Chen, Zihao Wang, Qiang Zhang, Chunzhi Li, Fuyan Lyu
article en
4 citations

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.

Journal of Electromagnetic Waves and ApplicationsVol. 38(16)
Shandong University of Science and Technology (CN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 20%
Geophysical Methods and Applications
1.34
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