Volume 46 Issue 10
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Yu Lewen, Zhang Da. Spatial resolution enhancement method of cavity 3D laser scanning[J]. Infrared and Laser Engineering, 2017, 46(10): 1006002-1006002(6). doi: 10.3788/IRLA201760.1006002
Citation: Yu Lewen, Zhang Da. Spatial resolution enhancement method of cavity 3D laser scanning[J]. Infrared and Laser Engineering, 2017, 46(10): 1006002-1006002(6). doi: 10.3788/IRLA201760.1006002
shu

Spatial resolution enhancement method of cavity 3D laser scanning

doi: 10.3788/IRLA201760.1006002
  • 1.

    Beijing General Research Institute of Mining and Metallurgy,Beijing 102628,China;

  • 2.

    School of Mechanical Engineering,University of Science and Technology Beijing,Beijing 100083,China

  • Received Date: 2017-02-10
  • Rev Recd Date: 2017-04-20
  • Publish Date: 2017-10-25
  • Underground metal mines cavities were serious threats to mineral resources exploitation and the surrounding environment of mines. Useful points' spatial information about cavity shape could be gotten from 3D laser scanning detection precisely, which had become the main method of cavity accuracy detection. Traditional 3D laser equiangular scanning has its disadvantages of uneven spatial resolution and low efficiency. With the analysis of the irregular characteristics of mined-area, a 3D laser spatial resolution enhancement method was proposed. The formula of calculating the distance between the spiral line and the scanning trajectory was derived. The experimental result of points cloud verifies the efficiency of the new method, which improves the spatial resolution of the 3D laser scanning, and provides a solution for the high accuracy acquisition of 3D shape in the mined-area.
  • [1] Xiong Lixin, Luo Zhouquan, Luo Zhenyan, et al. Data amendment of abnormal point cloud of goaf by laser scan in deep complex environment[J]. Journal of Northeastern University(Natural Science), 2014, 35(3):438-446. (in Chinese)熊立新, 罗周全, 罗贞焱, 等. 深部复杂环境下采空区激光扫描异常点云数据修正[J]. 东北大学(自然科学版), 2014, 35(3):438-446.
    [2] Liu Xiaoming, Luo Zhouquan, Xu Jicheng, et al. Resources extraction planning model of large-scale mine and its application[J]. Journal of Central South University (Science and Technology), 2014, 45(8):2812-2816. (in Chinese)刘晓明, 罗周全, 徐纪成, 等. 大型矿区资源开采规划模型的建立及其应用[J]. 中南大学(自然科学版), 2014, 45(8):2812-2816.
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    [6] Wang Li, Li Guangyun, Yang Xinyong, et al. One-site calibration of mounted parameter method for 3D mobile laser scanning[J]. Infrared and Laser Engineering, 2016, 45(11):1106005. (in Chinese)王力, 李广云, 杨新永, 等. 车载三维激光扫描系统安置参数一站式标定[J]. 红外与激光工程, 2016, 45(11):1106005.
    [7] Cao Ting, Wang Weixing, Yang Nan, et al. Detection method for the depth of pavement broken block in cement concrete based on 3D laser scanning technology[J]. Infrared and Laser Engineering, 2017, 46(2):0206006. (in Chinese)曹霆, 王卫星, 杨楠, 等. 基于三维激光扫描技术的路面断板深度检测[J]. 红外与激光工程, 2017, 46(2):0206006.
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    [13] Yu Lewen, Zhang Da, Yu Bin, et al. Research of 3D laser scanning measurement system for mining[J]. Metal Mine, 2012(10):101-103, 107. (in Chinese)余乐文, 张达, 余斌, 等. 矿用三维激光扫描测量系统的研制[J]. 金属矿山,2012(10):101-103, 107.
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Spatial resolution enhancement method of cavity 3D laser scanning

doi: 10.3788/IRLA201760.1006002
  • 1. Beijing General Research Institute of Mining and Metallurgy,Beijing 102628,China;
  • 2. School of Mechanical Engineering,University of Science and Technology Beijing,Beijing 100083,China
  • Received Date: 2017-02-10
  • Rev Recd Date: 2017-04-20
  • Publish Date: 2017-10-25

Abstract: Underground metal mines cavities were serious threats to mineral resources exploitation and the surrounding environment of mines. Useful points' spatial information about cavity shape could be gotten from 3D laser scanning detection precisely, which had become the main method of cavity accuracy detection. Traditional 3D laser equiangular scanning has its disadvantages of uneven spatial resolution and low efficiency. With the analysis of the irregular characteristics of mined-area, a 3D laser spatial resolution enhancement method was proposed. The formula of calculating the distance between the spiral line and the scanning trajectory was derived. The experimental result of points cloud verifies the efficiency of the new method, which improves the spatial resolution of the 3D laser scanning, and provides a solution for the high accuracy acquisition of 3D shape in the mined-area.

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