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Vol. 34, No. 8(3), S&M3042

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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials
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Sensors and Materials, Volume 36, Number 12(4) (2024)
Copyright(C) MYU K.K.
pp. 5507-5520
S&M3882 Research Paper of Special Issue
https://doi.org/10.18494/SAM5352
Published: December 26, 2024

Improved Delaunay-triangulation-based 3D Geological Modelling Algorithm for Power Pylons [PDF]

JingGuo Lv, BangZheng He, HongBo Wu, JiYong Zhang, ChunHui Zhao, and JunJie Sun

(Received August 29, 2024; Accepted December 6, 2024)

Keywords: 3D geological model, grid towers, Delaunay triangulation, Kriging interpolation

To construct an accurate 3D geological model of the grid engineering tower scene, we propose a method for 3D geological modelling of grid engineering towers on the basis of borehole data. The method generates a more accurate 3D geological model by improving the Delaunay triangulation algorithm and combining it with Kriging interpolation to process the borehole data. Furthermore, a detailed adjustment of the model is achieved through the introduction of geological profiles. The 3D geological model is constructed using the operational area of the power grid engineering survey as a case study, thereby accurately reflecting the geological conditions of the region. The results of testing demonstrate that the modelling method in this paper is more accurate than existing methods, and the generated 3D geological model not only provides a scientific foundation for tower placement and line design but also offers valuable insights for advancing the digital transformation of power grid engineering.

Corresponding author: JingGuo Lv


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
JingGuo Lv, BangZheng He, HongBo Wu, JiYong Zhang, ChunHui Zhao, and JunJie Sun, Improved Delaunay-triangulation-based 3D Geological Modelling Algorithm for Power Pylons, Sens. Mater., Vol. 36, No. 12, 2024, p. 5507-5520.



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