Practical Measurement of Size Distribution of Blasted Rocks Using LiDAR Scan Data

Engin, İrfan Celal; Maerz, Norbert H.; Boyko, Kenneth J.; Reals, Robert

doi:10.1007/s00603-020-02181-5

Cited by 14 publications

(7 citation statements)

References 39 publications

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“…Finally, the segmented point cloud underwent inverse projection to compute the degree of rock fragmentation. To overcome the limitations and inaccuracies of image analysis methods, Engin et al [22] utilized laser scanning technology to directly measure the size distribution of rock fragments.…”

Section: Computation Methods Based On the Point Cloud Modalitymentioning

confidence: 99%

Ore Rock Fragmentation Calculation Based on Multi-Modal Fusion of Point Clouds and Images

Peng,

Cui,

Zhong

et al. 2023

Applied Sciences

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The accurate calculation of ore rock fragmentation is important for achieving the autonomous mining operation of mine excavators. However, a single mode cannot accurately calculate the ore rock fragmentation due to the low resolution of the point cloud mode and the lack of spatial position information of the image mode. To solve this problem, we propose an ore rock fragmentation calculation method (ORFCM) based on the multi-modal fusion of point clouds and images. The ORFCM makes full use of the advantages of multi-modal data, including the fine-grained object segmentation of images and spatial location information of point clouds. To solve the problem of image under-segmentation, we propose a multiscale adaptive edge-detection method based on an innovative standard deviation map to enhance the weak edges. Furthermore, an improved marked watershed segmentation algorithm is proposed to solve the problem of low segmentation accuracy caused by excessive noise of the gradient map and weak edges submerged. Experiments demonstrate that ORFCM can accurately calculate ore rock fragmentation in the local excavation area without relying on external markers for pixel calibration. The average error of the equivalent diameter of ore rock blocks is 0.66 cm, the average error of the elliptical long diameter is 1.42 cm, and the average error of the elliptical short diameter is 1.06 cm, which can effectively meet practical engineering needs.

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Section: Computation Methods Based On the Point Cloud Modalitymentioning

confidence: 99%

Ore Rock Fragmentation Calculation Based on Multi-Modal Fusion of Point Clouds and Images

Peng,

Cui,

Zhong

et al. 2023

Applied Sciences

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“…Utilizando a mesma tecnologia, porém com um algoritmo diferente, Engin et al (2020) mediram a granulometria de rochas fragmentadas e compararam o resultado do uso do terrestrial LiDAR com o obtido utilizando o software WipFrag Granulometry System para o processamento de imagens bidimensionais.…”

Section: Uso De Câmera Para Avaliação De Partículasunclassified

Estratégia de Avaliação da Eficiência do Processo de Peneiramento Utilizando Sensoriamento Remoto

Matos

Pinto

Moreira³

et al. 2021

Procedings Do XV Simpósio Brasileiro De Automação Inteligente

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In mining, the sieving process is a common method of classification based on particle's sizes. The sieves used in this process classify the material into two fractions: undersize, composed of fine particles; and oversize, composed of coarse particles. In this work, a strategy for evaluating the performance of sieve classification by measuring the degree of fragmentation of the particles of oversize is presented. A two-dimensional LiDAR laser scanner is used to scan the analyzed surface, from which statistical indices are calculated and are used as an input to a Random Forest technique, responsible for classifying the degree of fragmentation of the material. Test results indicate an accuracy around 98 % of the chosen classification models. Resumo: Na mineração, o processo de peneiramento é um método usual de classificação baseado no tamanho das partículas minerais. As peneiras usadas nesse processo classificam o material em duas frações: undersize, composto por partículas finas; e oversize, composto por partículas grossas. Neste trabalho é apresentada uma estratégia de avaliação da performance de classificação de peneiras através da medição do grau de fragmentação das partículas do oversize. É utilizado um um laser scanner bidimensional do tipo LiDAR para varredura da superfície analisada, a partir da qual são calculados índices estatísticos que servem de entrada para uma técnica Random Forest, responsável por classificar o grau de fragmentação do material. Os resultados de testes indicam uma acurácia em torno de 98% dos modelos de classificação obtidos.

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“…DiFrancesco [31] determined that the optimal 3D volume calculation approach is a hybrid methodology comprised of the Power Crust reconstruction and the Alpha Solid reconstruction. Engin [32] obtained the point cloud data of blasting rock piles by terrestrial laser scanner for surface reconstruction and determined the size distribution of fragments, which effectively evaluated the blasting results. Voumard [33] performed 3D point cloud reconstruction with the image set acquired from street view imagery (SVI), which can more clearly identify landslide deformation and estimate the fallen volumes.…”

Section: Introductionmentioning

confidence: 99%

Research and Implementation of Three-Dimensional Spatial Information Characterization and Visualization of Fractures in Deteriorated Sandstone

Zhang

Zhong

et al. 2023

Preprint

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Primary fractures have significant impacts on the stability of surrounding rock in underground projects. Therefore, it is vital to find a solution for the problem of how to perform non-destructive detecting of rocks and extract the internal three-dimensional (3D) data field of rocks for visualization analysis. To address this problem, this paper proposed a method of 3D reconstruction for complex cracks in deteriorated sandstone and developed a program based on MATLAB. This work carried out image recognition on the CT scan images of deteriorated sandstone, then implemented a surface reconstruction technique based on object cross-section information, a contour reconstruction technique based on object contour information, a point cloud reconstruction technique for extracting point cloud data of internal cracks in deteriorated sandstone and a Graphical User Interface (GUI) control system that combines these three reconstruction techniques. The result showed that the 3D reconstruction techniques and the GUI control system proposed in this paper were capable of precisely marking the location of the cracks on a 3D coordinate system and accurately describing their shape with a vector. With only 10 CT scan images, the point cloud reconstruction technique constructed the digital core and the digital core can quantitatively characterize the influence of primary fractures on the stability of surrounding rock. Additionally, the calculated results of the proposed method were very close to that of Avizo. This method realized the visualization and quantitative characterization of the internal structure of rocks and offered a model for analyzing the stress-fracture-seepage field change during excavation.

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Practical Measurement of Size Distribution of Blasted Rocks Using LiDAR Scan Data

Cited by 14 publications

References 39 publications

Ore Rock Fragmentation Calculation Based on Multi-Modal Fusion of Point Clouds and Images

Ore Rock Fragmentation Calculation Based on Multi-Modal Fusion of Point Clouds and Images

Estratégia de Avaliação da Eficiência do Processo de Peneiramento Utilizando Sensoriamento Remoto

Research and Implementation of Three-Dimensional Spatial Information Characterization and Visualization of Fractures in Deteriorated Sandstone

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