测绘地理信息2024,Vol.49Issue(5) :84-90.DOI:10.14188/j.2095-6045.20230615

面向铁路三维工程地质模型的自适应虚拟钻孔生成方法

A Self-Adaptive Virtual Borehole Generation Method for Railway 3D Engineering Geological Model

刘孙瑜 朱庆 吴浩宇 曾浩炜 张骏骁
测绘地理信息2024,Vol.49Issue(5) :84-90.DOI:10.14188/j.2095-6045.20230615

面向铁路三维工程地质模型的自适应虚拟钻孔生成方法

A Self-Adaptive Virtual Borehole Generation Method for Railway 3D Engineering Geological Model

刘孙瑜 1朱庆 1吴浩宇 2曾浩炜 3张骏骁3
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作者信息

  • 1. 西南交通大学地球科学与环境工程学院,四川成都,611756
  • 2. 成都市勘察测绘研究院,四川成都,610000
  • 3. 齐鲁空天信息研究院,山东济南,250100
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摘要

本文提出一种线性空间增强的自适应虚拟钻孔建模方法.该方法面向工程地质平面图、剖面数据和原始钻孔数据的综合应用,基于铁路中线构建二维线性空间向三维空间转换方程,实现虚拟钻孔与多源数据的空间映射,解决了虚拟钻孔布设受到原始钻孔资料空间分布约束的问题;同时设计钻孔间距与地层层数的匹配规则,构建规则阈值约束的自适应分布模型,提取关键特征插值融合形成三维虚拟钻孔序列.典型实验证明本文方法能可靠处理长带状分布的多源数据、精确表达复杂的三维地质结构.

Abstract

This paper proposes a linear space enhanced self-adaptive virtual borehole modeling method. This method which is oriented to the integrated comprehensive application of engineering geological plan,section data and original bore-hole data,and to realize the spatial mapping between virtual borehole and multi-source data based on conversion equation from two-dimensional linear space to three-dimensional space built by railway center line,and to solve the problem that vir-tual borehole layout is constrained by the spatial distribution of the original borehole data. Meanwhile,it designs the match-ing rules for the spacing of boreholes and the number of strati-graphic layers to construct a self-adaptive distribution model with rule threshold constraints. Then,it extracts key features and form the three-dimensional virtual borehole sequence by interpolation fusion. Typical experiments prove that the pro-posed method can process multi-source data with long zonal distribution reliably and express complex three-dimensional geological structures accurately.

关键词

三维地质建模/虚拟钻孔/自适应分布/多源数据融合

Key words

3D geological modeling/virtual borehole/self-adaptive distribution/muti-source data integration

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基金项目

国家自然科学基金(42230102)

国家自然科学基金(42001336)

出版年

2024
测绘地理信息
武汉大学

测绘地理信息

CSTPCDCSCD
影响因子:0.563
ISSN:1007-3817
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参考文献量21
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