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Study on 3D Modeling of Complex Coal Mine Interface

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Image and Graphics Technologies and Applications (IGTA 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1043))

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Abstract

Coal seam floor, fault are important geological interfaces to be focused in the process of coal exploration and mining. This paper analyzes in detail the characteristics of complex coal seam floor and fault and proposes corresponding effective 3D reconstruction method for them respectively. For complex coal seam floor surface, this paper proposes blocking partition 3D reconstruction method in which complex coal seam floor surface is decomposed by boundary lines into modeling blocks with single internal structure. These modeling blocks are reconstructed in 3D form separately. Meanwhile, this paper puts forward a new method which adopts multi-source, multi- category geological data to collaboratively reconstruct 3D fault model in the exploration area. It makes full use of the advantages of each type of fault data and makes up disadvantages. The methods mentioned above have good effect of 3D geological modeling in Sanlutian exploration area of Muli area, Qinghai province. So these methods will have wide application prospect.

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Acknowledgement

The work in this paper is supported by Henan University of Technology Doctoral Fund “Geological Form and Attribute comprehensive modeling research” (Project number 2018BS075), National Nature Science Foundation of China project “Theory and method of anisotropic property field inner geology body based on volume function” (Project number 41272367), Henan Provincial Science and Technology Research Project (Project number 192102210101), Henan University of Technology Research Foundation (Project number 2016XTCX05).

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Correspondence to Qing-yuan Li .

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Dong, Ql. et al. (2019). Study on 3D Modeling of Complex Coal Mine Interface. In: Wang, Y., Huang, Q., Peng, Y. (eds) Image and Graphics Technologies and Applications. IGTA 2019. Communications in Computer and Information Science, vol 1043. Springer, Singapore. https://doi.org/10.1007/978-981-13-9917-6_58

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  • DOI: https://doi.org/10.1007/978-981-13-9917-6_58

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9916-9

  • Online ISBN: 978-981-13-9917-6

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