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Spatial Effect Analysis of Coal and Gangue Recognition Detector Based on Natural Gamma Ray Method

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Abstract

The inability to identify accurately coal and gangue has been the bottleneck restricting the intellectualization of top coal caving. The difficulty of coal and gangue recognition lies on the fact that with the advance of working face, the change of coal caving space requires the relative position of the detector and coal–gangue to be synchronized. In order to overcome this problem, we proposed a new gangue recognition detector technology based on natural gamma ray method, which has advantages of low environmental impact and high universality. In this paper, the dynamic characteristics of coal release space are analyzed firstly and then the spatial effect of the detector is studied based on the radiation characteristics of gangue and the principle of detecting stereo angle. Finally, the effects of detector detection distance, detection angle and coal caving on detection efficiency and sensitivity are analyzed through experiments. The experimental results explain the proposed method and show that the sensitivity of the detector not only meets the requirements of on-site coal–gangue recognition but also achieves real-time detection.

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Acknowledgments

This research is funded by the National Natural Science Foundation of China under Grant No. 91958206. The experimental system is provided by the State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology. Professor Changyou Liu of China University of Mining and Technology gave patient guidance during the experiment. The authors are grateful for their support.

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Authors and Affiliations

  1. Key Lab of Submarine Geosciences and Prospecting Techniques, MOE, and College of Marine Geosciences, Ocean University of China, Qingdao, 266100, China

    Mingxin Zhao, Huaishan Liu, Fenglin Li, Xilei Yang & Qiuping Xia

  2. Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266100, China

    Huaishan Liu

  3. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou, 221116, China

    Changyou Liu

  4. LTDS-CNR UMR 5513, Ecole Centrale de Lyon, 69134, Écully, France

    Xuefeng Li

  5. College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao, 266590, China

    Qing Ma

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  1. Mingxin Zhao
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  2. Huaishan Liu
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  3. Changyou Liu
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  4. Xuefeng Li
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  5. Fenglin Li
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  6. Xilei Yang
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  7. Qiuping Xia
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  8. Qing Ma
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Correspondence to Huaishan Liu.

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We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the work submitted.

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Zhao, M., Liu, H., Liu, C. et al. Spatial Effect Analysis of Coal and Gangue Recognition Detector Based on Natural Gamma Ray Method. Nat Resour Res 31, 953–969 (2022). https://doi.org/10.1007/s11053-022-10016-z

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  • DOI: https://doi.org/10.1007/s11053-022-10016-z

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