Haojun Wu, Min Gong, Renshu Yang, Xiaodong Wu,  and Xiangyu Liu, Double-face intelligent hole position planning method for precision blasting in roadways using a computer-controlled drill jumbo, Int. J. Miner. Metall. Mater., 30(2023), No. 6, pp. 1025-1037. https://doi.org/10.1007/s12613-022-2575-4
Cite this article as:
Haojun Wu, Min Gong, Renshu Yang, Xiaodong Wu,  and Xiangyu Liu, Double-face intelligent hole position planning method for precision blasting in roadways using a computer-controlled drill jumbo, Int. J. Miner. Metall. Mater., 30(2023), No. 6, pp. 1025-1037. https://doi.org/10.1007/s12613-022-2575-4
Research Article

Double-face intelligent hole position planning method for precision blasting in roadways using a computer-controlled drill jumbo

+ Author Affiliations
  • Corresponding author:

    Min Gong    E-mail: gongmustb@163.com

  • Received: 29 August 2022Revised: 26 October 2022Accepted: 23 November 2022Available online: 24 November 2022
  • To solve the uneven burden of same-type holes reducing the blasting efficiency due to the limitation of drilling equipment, we need a double-face program-controlled planning method for hole position parameters used on a computer-controlled drilling jumbo. The cross-section splits into even and uneven areas. It also considers the uneven burden at the hole’s entrance and bottom. In the uneven area, various qualifying factors are made to optimize the hole spacing and maximize the burden uniformity, combined with the features of the area edges and grid-based segmentation methods. The hole position coordinates and angles in the even area are derived using recursion and iteration algorithms. As a case, this method presents all holes in a 4.8 m wide and 3.6 m high cross-section. Compared with the design produced by the drawing method, our planning in the uneven area improved the standard deviation of the hole burden by 40%. The improved hole layout facilitates the evolution of precise, efficient, and intelligent blasting in underground mines.
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