Science & Technology Review >

2014 , Vol. 32 >Issue 20: 54 - 58

DOI: https://doi.org/10.3981/j.issn.1000-7857.2014.20.008

Articles

Multiple Detection Data’s Simplification in Complicated Goafs

  • LUO Zhouquan ,
  • ZHANG Wenfen ,
  • XU Shimin
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  • 1. School of Resources and Safety Engineering, Central South University, Changsha 410083, China;
    2. School of Resources & Safety Engineering, China University of Mining & Technology, Beijing 100083, China

Received date: 2014-03-18

  Revised date: 2014-04-25

  Online published: 2014-07-22

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Abstract

This paper studies data reduction of laser scanning to solve the problems generated by repeating of laser detection for blind areas. Blind areas of single detection were avoided and data of sparse areas were densified by multi-point detection. Distribution characteristics of point cloud data were concluded by topological relation of laser scanning track analysis. A more efficient point cloud data reduction method, the side angle integrated method, retained the geometric characteristics of goafs proposed in contrast to conventional data reduction, and the point cloud data of intensive areas were diluted. Through comparison of the 3D model volume, reduction rate and other indicators before and after reduction, the verification results show that the method ensures the integrity of boundary 3D information and the data reduction rate reaches 15%-25%. This method provides a new idea for laser scanning 3D information reduction in complex goafs, laying a good foundation for the subsequent 3D modeling and application.

Key words： reduction; complex goaf; point cloud data

Cite this article

LUO Zhouquan , ZHANG Wenfen , XU Shimin . Multiple Detection Data’s Simplification in Complicated Goafs[J]. Science & Technology Review, 2014 , 32(20) : 54 -58 . DOI: 10.3981/j.issn.1000-7857.2014.20.008

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