Foundation of 3D Coal Seam Model Based on the Incremental Insertion and the Shortest Diagonal Methods

Min Ning Zhao; Ling Xia Chen; Ying Su; Qing Yun Li

doi:10.4028/www.scientific.net/AMM.551.412

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 551Foundation of 3D Coal Seam Model Based on the...

Foundation of 3D Coal Seam Model Based on the Incremental Insertion and the Shortest Diagonal Methods

Abstract:

As the borehole data is sparse , the particle swarm neural network (PSO-BP) spatial data interpolation method is used for scattered data interpolation, which enhances the availability of the data and improves the accuracy of data interpolation. Furthermore, the incremental insertion and the shortest diagonal methods are used in modeling because the modeling speed is high and dynamically updating is convenient, finally, 3D visualization model of the coal seam on the base of Matlab language is realized.

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Periodical:

Applied Mechanics and Materials (Volume 551)

Pages:

412-416

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.551.412

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Online since:

May 2014

Authors:

Min Ning Zhao*, Ling Xia Chen, Ying Su, Qing Yun Li

Keywords:

Coal Seam, MATLAB, Particle Swarm Optimization (PSO)

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* - Corresponding Author

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