Statistical Estimation of Blast Fragmentation by Applying 3D Laser Scanning to Muck Pile

Run-of-mine fragmentation is an important aspect of mine productivity optimization, as it affects all mine-to-mill processes. The current blasting fragmentation calculation methods do not consider the 3D geometric information. Therefore, their calculation results are imprecise. 3D laser scanning is...

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Main Authors: Qiang Liu, Fuqiang Shi, Xuguang Wang, Mingsheng Zhao
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2022/3757561
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author Qiang Liu
Fuqiang Shi
Xuguang Wang
Mingsheng Zhao
author_facet Qiang Liu
Fuqiang Shi
Xuguang Wang
Mingsheng Zhao
author_sort Qiang Liu
collection DOAJ
description Run-of-mine fragmentation is an important aspect of mine productivity optimization, as it affects all mine-to-mill processes. The current blasting fragmentation calculation methods do not consider the 3D geometric information. Therefore, their calculation results are imprecise. 3D laser scanning is a technique for extracting the 3D geometric information of an object by constructing a 3D point cloud model, with which extra information on the geometrical characteristics of an object could be captured than with the technique of 2D image processing. In this paper, 3D laser scanning technology was utilized for the calculation of the rock blocks on the surface of a muck pile, and the information about the surface blocks was utilized as the samples for the statistical estimation of blasting fragmentation of muck pile (BFMP). Monte Carlo simulation was utilized as the statistical estimation method for the BFMP. In the lab experiment, results from 2D image processing technique and from 3D laser scanning technique combined with statistical estimate were compared with the physical measurements utilizing a water tank, which show that results with 3D laser scanning are more similar to the physical measurement. Finally, the applicability of 3D laser scanning technology combined with statistical methods to the calculation of blast fragmentation was estimated through field tests in Biesikuduke and Santanghu mine, two open-pit coal mines in Xinjiang Province of western China. Results show that the accuracy of the statistical estimation results of BFMP has a particle size deviation of 1–3 cm.
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series Shock and Vibration
spelling doaj-art-13d85f420eb4427fa79f78df537ba2bb2025-08-20T02:01:42ZengWileyShock and Vibration1875-92032022-01-01202210.1155/2022/3757561Statistical Estimation of Blast Fragmentation by Applying 3D Laser Scanning to Muck PileQiang Liu0Fuqiang Shi1Xuguang Wang2Mingsheng Zhao3Southwestern JiaoTong UniversitySouthwestern JiaoTong UniversitySouthwestern JiaoTong UniversityPoly Xinlian Blasting Engineering Group. Co., LtdRun-of-mine fragmentation is an important aspect of mine productivity optimization, as it affects all mine-to-mill processes. The current blasting fragmentation calculation methods do not consider the 3D geometric information. Therefore, their calculation results are imprecise. 3D laser scanning is a technique for extracting the 3D geometric information of an object by constructing a 3D point cloud model, with which extra information on the geometrical characteristics of an object could be captured than with the technique of 2D image processing. In this paper, 3D laser scanning technology was utilized for the calculation of the rock blocks on the surface of a muck pile, and the information about the surface blocks was utilized as the samples for the statistical estimation of blasting fragmentation of muck pile (BFMP). Monte Carlo simulation was utilized as the statistical estimation method for the BFMP. In the lab experiment, results from 2D image processing technique and from 3D laser scanning technique combined with statistical estimate were compared with the physical measurements utilizing a water tank, which show that results with 3D laser scanning are more similar to the physical measurement. Finally, the applicability of 3D laser scanning technology combined with statistical methods to the calculation of blast fragmentation was estimated through field tests in Biesikuduke and Santanghu mine, two open-pit coal mines in Xinjiang Province of western China. Results show that the accuracy of the statistical estimation results of BFMP has a particle size deviation of 1–3 cm.http://dx.doi.org/10.1155/2022/3757561
spellingShingle Qiang Liu
Fuqiang Shi
Xuguang Wang
Mingsheng Zhao
Statistical Estimation of Blast Fragmentation by Applying 3D Laser Scanning to Muck Pile
Shock and Vibration
title Statistical Estimation of Blast Fragmentation by Applying 3D Laser Scanning to Muck Pile
title_full Statistical Estimation of Blast Fragmentation by Applying 3D Laser Scanning to Muck Pile
title_fullStr Statistical Estimation of Blast Fragmentation by Applying 3D Laser Scanning to Muck Pile
title_full_unstemmed Statistical Estimation of Blast Fragmentation by Applying 3D Laser Scanning to Muck Pile
title_short Statistical Estimation of Blast Fragmentation by Applying 3D Laser Scanning to Muck Pile
title_sort statistical estimation of blast fragmentation by applying 3d laser scanning to muck pile
url http://dx.doi.org/10.1155/2022/3757561
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AT fuqiangshi statisticalestimationofblastfragmentationbyapplying3dlaserscanningtomuckpile
AT xuguangwang statisticalestimationofblastfragmentationbyapplying3dlaserscanningtomuckpile
AT mingshengzhao statisticalestimationofblastfragmentationbyapplying3dlaserscanningtomuckpile