Advanced Analysis of Blast Pile Fragmentation in Open-Pit Mining Utilizing 3D Point Cloud Technology

In the realm of open-pit mining, the characterization of blast pile fragmentation poses significant challenges. This study pioneers a novel approach, harnessing the capabilities of 3D laser scanning technology to acquire comprehensive spatial data of blast piles. Essential to this research is the de...

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Vydáno v:Traitement du signal Ročník 40; číslo 6; s. 2507 - 2519
Hlavní autoři: Li, Pingfeng, Xie, Shoudong, Xia, Heping, Wang, Dakun, Xu, Zhenyang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Edmonton International Information and Engineering Technology Association (IIETA) 01.12.2023
Témata:
Accuracy
Algorithms
Blasting
Clustering
Convexity
Data processing
Delaunay triangulation
Fragmentation
Lasers
Measurement techniques
Methods
Mines
Monte Carlo simulation
Open pit mining
Particle size
Scanners
Site selection
Spatial data
Three dimensional models
ISSN:0765-0019, 1958-5608
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Shrnutí:In the realm of open-pit mining, the characterization of blast pile fragmentation poses significant challenges. This study pioneers a novel approach, harnessing the capabilities of 3D laser scanning technology to acquire comprehensive spatial data of blast piles. Essential to this research is the deployment of sophisticated data processing techniques, including the Random Sample Consensus (RANSAC) for plane fitting and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) for clustering algorithms, to meticulously delineate the contours of rock blocks within blast piles. The innovative methodology facilitates swift determination of rock block volumes and their maximum particle dimensions through the calculation of 3D convex hulls and Oriented Bounding Boxes (OBB). Additionally, the application of Delaunay triangulation to the blast pile's 3D point cloud data culminates in the creation of a detailed mesh model, from which the blast pile's volume is accurately derived using projection methods. Rigorous indoor testing has yielded a relative error margin of approximately 4.61% for block volumes and 4.75% for particle diameters under stacked conditions. In practical field applications, the method exhibits commendable accuracy, with an average rock block identification accuracy of 80.4%, increasing proportionally with the size of the rock blocks. The calculated volume of the blast pile closely mirrors actual excavation volumes, manifesting a relative error of 4.85%. Computational errors for key metrics such as the blast pile's height, forward throw distance, and lateral extent were found to be 2.92%, 3.91%, and 4.29%, respectively. The findings of this study are instrumental in assessing blasting effectiveness and in refining blasting parameters, marking a significant advancement in the field of open-pit mining.
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ISSN:0765-0019
1958-5608
DOI:10.18280/ts.400615