Reverse Engineering Based on Point Cloud Recognition 3D Digital Analysis of Rock Fragmentation

Authors

  • Yang Yang School of Mining Engineering, University of Science and Technology Liaoning, AnShan 114000, LiaoNing, China
  • Laishan Chang School of Mining Engineering, University of Science and Technology Liaoning, AnShan 114000, LiaoNing, China

Abstract

Blasting fragmentation in mines and mountains reduces rock handling and transportation overheads. With the development of cloud technologies and their application in mining, the reverse engineering paradigm is applied to identify the minor structure in the fragmentation process. The classification of the particle identification/structure is performed by deconstructing the actual blasting process. This article introduces a three-dimensional analysis using Reverse Engineering (3DA-RE) paradigm for identifying the overhead resulting from the blasting of rock during mining operations. By means of this analysis, the proposed method identifies the cost overloading factor in the blasting process. The fundamental features such as structure detection,
fragmentation level, and cost handling, are analyzed in a 3D manner. The different dimensions are established using the cloud analytics of various previous mining actions.

Keywords: blasting fragmentation; cloud data analytics; knowledge learning; reverse engineering

Cite As

Y. Yang, L. Chang, "Reverse Engineering Based on Point Cloud Recognition 3D Digital Analysis of Rock Fragmentation",
Engineering Intelligent Systems, vol. 31 no. 6, pp. , 2023.




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Published

2023-11-01

Issue

Vol. 31 No. 6 (2023): International Journal of Engineering Intelligent Systems

Section

Article

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