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

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...

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Main Authors: Hisatoshi Toriya, Zedrick Paul L. Tungol, Hajime Ikeda, Narihiro Owada, Hyong Doo Jang, Tsuyoshi Adachi, Itaru Kitahara, Youhei Kawamura
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Mining
Subjects:
Online Access:https://www.mdpi.com/2673-6489/2/3/23
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author Hisatoshi Toriya
Zedrick Paul L. Tungol
Hajime Ikeda
Narihiro Owada
Hyong Doo Jang
Tsuyoshi Adachi
Itaru Kitahara
Youhei Kawamura
author_facet Hisatoshi Toriya
Zedrick Paul L. Tungol
Hajime Ikeda
Narihiro Owada
Hyong Doo Jang
Tsuyoshi Adachi
Itaru Kitahara
Youhei Kawamura
author_sort Hisatoshi Toriya
collection DOAJ
description 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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spelling doaj.art-ca7d51958a9940d5a71ec2a054c89aa02023-11-23T17:56:49ZengMDPI AGMining2673-64892022-06-012343844810.3390/mining2030023Fragmentation Size Distribution Measurement by GNSS-Aided Photogrammetry at Real Mine SiteHisatoshi Toriya0Zedrick Paul L. Tungol1Hajime Ikeda2Narihiro Owada3Hyong Doo Jang4Tsuyoshi Adachi5Itaru Kitahara6Youhei Kawamura7Faculty of International Resource Sciences, Akita University, 1-1 Tegatagakuen-Machi, Akita 010-0862, JapanFaculty of International Resource Sciences, Akita University, 1-1 Tegatagakuen-Machi, Akita 010-0862, JapanFaculty of International Resource Sciences, Akita University, 1-1 Tegatagakuen-Machi, Akita 010-0862, JapanFaculty of International Resource Sciences, Akita University, 1-1 Tegatagakuen-Machi, Akita 010-0862, JapanWestern Australian School of Mines, Curtin University, Perth 6845, AustraliaFaculty of International Resource Sciences, Akita University, 1-1 Tegatagakuen-Machi, Akita 010-0862, JapanCenter for Computational Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8577, JapanFaculty of Engineering, Hokkaido University, Kita 8, Nishi 5, Kita-Ku, Sapporo 060-8628, JapanIn 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.https://www.mdpi.com/2673-6489/2/3/23point cloud scalingfragmentation size measurementstructure from motionglobal navigation satellite system
spellingShingle Hisatoshi Toriya
Zedrick Paul L. Tungol
Hajime Ikeda
Narihiro Owada
Hyong Doo Jang
Tsuyoshi Adachi
Itaru Kitahara
Youhei Kawamura
Fragmentation Size Distribution Measurement by GNSS-Aided Photogrammetry at Real Mine Site
Mining
point cloud scaling
fragmentation size measurement
structure from motion
global navigation satellite system
title Fragmentation Size Distribution Measurement by GNSS-Aided Photogrammetry at Real Mine Site
title_full Fragmentation Size Distribution Measurement by GNSS-Aided Photogrammetry at Real Mine Site
title_fullStr Fragmentation Size Distribution Measurement by GNSS-Aided Photogrammetry at Real Mine Site
title_full_unstemmed Fragmentation Size Distribution Measurement by GNSS-Aided Photogrammetry at Real Mine Site
title_short Fragmentation Size Distribution Measurement by GNSS-Aided Photogrammetry at Real Mine Site
title_sort fragmentation size distribution measurement by gnss aided photogrammetry at real mine site
topic point cloud scaling
fragmentation size measurement
structure from motion
global navigation satellite system
url https://www.mdpi.com/2673-6489/2/3/23
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