Mining (Jun 2022)

Fragmentation Size Distribution Measurement by GNSS-Aided Photogrammetry at Real Mine Site

  • Hisatoshi Toriya,
  • Zedrick Paul L. Tungol,
  • Hajime Ikeda,
  • Narihiro Owada,
  • Hyong Doo Jang,
  • Tsuyoshi Adachi,
  • Itaru Kitahara,
  • Youhei Kawamura

DOI
https://doi.org/10.3390/mining2030023
Journal volume & issue
Vol. 2, no. 3
pp. 438 – 448

Abstract

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In mining operations that employ explosives and mineral processing, one of the important factors for efficient and low-cost operation is the fragmentation size distribution of rock after it has been blasted. Automatic scaling is a critical component of fragmentation size distribution measurement as it will directly determine the accuracy of the size estimation. In this study, we propose a method to create a system for creating a scaled 3D CG model, without the use of ground truth data such as GCPs (Ground Control Points), for the purpose of improving fragmentation size distribution measurement using positional data such as GNSS (Global Navigation Satellite System)-aided photogrammetry. We confirmed the validation of the method through an experimental evaluation of actual muckpiles. The results showed evidence of improving the scaling aspect of 3D fragmentation measurement systems without using GCPs or manual scales, specifically in surface mines where GNSS data are available.

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