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Safety Warning of Mine Conveyor Belt Based on Binocular Vision

Author

Listed:
  • Lei Zhang

    (School of Mines, China University of Mining and Technology, Xuzhou 221116, China
    School of Coal Engineering, Shanxi Datong University, Datong 037003, China)

  • Shangkai Hao

    (School of Coal Engineering, Shanxi Datong University, Datong 037003, China)

  • Haosheng Wang

    (School of Coal Engineering, Shanxi Datong University, Datong 037003, China)

  • Bin Wang

    (School of Coal Engineering, Shanxi Datong University, Datong 037003, China)

  • Jiangong Lin

    (School of Coal Engineering, Shanxi Datong University, Datong 037003, China)

  • Yiping Sui

    (School of Coal Engineering, Shanxi Datong University, Datong 037003, China)

  • Chao Gu

    (School of Coal Engineering, Shanxi Datong University, Datong 037003, China)

Abstract

For the wear and damage to mine conveyor belts by foreign materials, such as large materials, this paper designs a volume measurement method for large materials based on binocular vision by the volume measurement of the large material inon the conveyor belt, provides safety-warning data of over-volume limits for mine conveyor belts, and prevents damage to the mine conveyor belts. In this design, first, by obtaining the binocular camera parameters to improve the image-edge information, images taken with a binocular camera were then aligned by the Bouguet stereo correction algorithm. Finally, the disparity map was calculated by the semi-global-block matching (SGBM) stereo matching, and to get the target 3D coordinates, volume measurements were performed by the micrometric method. The study shows that the experimental error remains at about 5.65%, which provides a low-cost measurement method for raw-coal-volume measurement of the well industry and coal-mine belt conveyor.

Suggested Citation

  • Lei Zhang & Shangkai Hao & Haosheng Wang & Bin Wang & Jiangong Lin & Yiping Sui & Chao Gu, 2022. "Safety Warning of Mine Conveyor Belt Based on Binocular Vision," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13276-:d:943469
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    Cited by:

    1. Zhike Zhao & Hao Chang & Caizhang Wu, 2023. "Study on the Measurement Method of Wheat Volume Based on Binocular Structured Light," Sustainability, MDPI, vol. 15(18), pages 1-27, September.

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