面向复杂约束的大规模点云曲面重建研究与实现
发布时间：2018-07-16 23:04
【摘要】：基于点云的空间曲面重建技术,作为反求工程的一项研究热点,在近年来已经受到高度重视。在CAD建模与地质建模等各个领域都能看到它的身影。随着曲面重建技术在实际生活的应用领域越来越广,一大批针对各自不同应用领域的曲面重建算法被相继提出。在地质建模的领域,空间点的曲面重建,其本质是利用三维空间中的离散点按一定顺序连接成曲面的问题。在当前环境下,地质曲面重构主要面临的问题在于:1.地质结构复杂,存在多种复杂约束;2.对于某些大型工区(如四川盆地等盆地级别工区),地质数据量过大,普通PC机内存受限,难以采用常规方法实现曲面重建。本文对多种地质约束下大规模地质工区的点云曲面重建问题进行研究,实现了面向复杂约束的大规模点云曲面重建方法。本文具体工作如下:1.提出了一种面向复杂约束的曲面重建方法。在基于边界约束的地质点云曲面重建方法的基础上,对倒转地形约束和地势走向约束等实际工程中出现的复杂约束加以研究,对倒转地质区域约束的构建、倒转区域与其他区域的拼接以及地势走向约束的添加进行了研究,并最终实现曲面重建。2.提出了一种基于地形分块的针对大规模地震数据进行曲面重建的方法。采用地形分块的思想解决对大规模地震数据进行曲面重建的问题,将无法在单台计算机处理的大规模地震数据划分为地形块,并设定地形块的调度方法,实现了高效、流畅的进行大规模地震数据曲面重建的过程,并取得了比较理想的效果。3.实现了大规模地震数据下进行三维地质曲面重建的系统。根据本文提出的相关方法,编程实现了大规模地震数据三维地质曲面重建系统的各个子模块,并对不同的工区数据进行测试,验证了系统效果的正确性以及系统的效率。通过面向复杂约束的大规模点云曲面重建方法的研究以及相关系统的设计实现,证明了该方法可以适应多种复杂约束情况以及大规模的地质工区地震数据情况,为点云曲面重建的技术,以及三维地质建模技术提供了新的思路。
[Abstract]:As a research hotspot in reverse engineering, point cloud based space surface reconstruction technology has been paid more and more attention in recent years. It can be seen in CAD modeling, geological modeling and other fields. With more and more applications of surface reconstruction technology in real life, a large number of surface reconstruction algorithms for different applications have been proposed one after another. In the field of geological modeling, the essence of surface reconstruction of spatial points is the problem of making use of discrete points in three-dimensional space to form surfaces in a certain order. In the current environment, the main problem of geological surface reconstruction is 1: 1. The geological structure is complex and there are many kinds of complex constraints. For some large working areas (such as Sichuan Basin), the geological data is too large and the memory of PC is limited, so it is difficult to use the conventional method to reconstruct curved surface. In this paper, the problem of point cloud surface reconstruction in large scale geological area under various geological constraints is studied, and the method of large scale point cloud surface reconstruction for complex constraints is realized. The specific work of this paper is as follows: 1. A surface reconstruction method for complex constraints is proposed. Based on the method of surface reconstruction of geological point cloud based on boundary constraints, the complex constraints such as inverted terrain constraints and terrain strike constraints are studied, and the constraints of inverted geological regions are constructed. The conjunctions between inverted region and other regions and the addition of terrain orientation constraints are studied, and the surface reconstruction. 2. 2 is finally realized. A method of surface reconstruction for large scale seismic data based on terrain partitioning is proposed. Using the idea of terrain block to solve the problem of surface reconstruction of large-scale seismic data, the large scale seismic data which can not be processed in a single computer is divided into terrain blocks, and the scheduling method of terrain blocks is set up to achieve high efficiency. The process of surface reconstruction of large scale seismic data is carried out smoothly, and the ideal effect is obtained. 3. The system of 3D surface reconstruction based on large-scale seismic data is realized. According to the related methods proposed in this paper, each sub-module of 3D geological surface reconstruction system of large-scale seismic data is programmed and tested to verify the correctness of the system effect and the efficiency of the system. Based on the research of large-scale point cloud surface reconstruction method for complex constraints and the design and implementation of related systems, it is proved that this method can adapt to various complex constraints and large-scale seismic data in geological areas. It provides a new idea for point cloud surface reconstruction and 3D geological modeling.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P631.4;P628
本文编号：2127959
[Abstract]:As a research hotspot in reverse engineering, point cloud based space surface reconstruction technology has been paid more and more attention in recent years. It can be seen in CAD modeling, geological modeling and other fields. With more and more applications of surface reconstruction technology in real life, a large number of surface reconstruction algorithms for different applications have been proposed one after another. In the field of geological modeling, the essence of surface reconstruction of spatial points is the problem of making use of discrete points in three-dimensional space to form surfaces in a certain order. In the current environment, the main problem of geological surface reconstruction is 1: 1. The geological structure is complex and there are many kinds of complex constraints. For some large working areas (such as Sichuan Basin), the geological data is too large and the memory of PC is limited, so it is difficult to use the conventional method to reconstruct curved surface. In this paper, the problem of point cloud surface reconstruction in large scale geological area under various geological constraints is studied, and the method of large scale point cloud surface reconstruction for complex constraints is realized. The specific work of this paper is as follows: 1. A surface reconstruction method for complex constraints is proposed. Based on the method of surface reconstruction of geological point cloud based on boundary constraints, the complex constraints such as inverted terrain constraints and terrain strike constraints are studied, and the constraints of inverted geological regions are constructed. The conjunctions between inverted region and other regions and the addition of terrain orientation constraints are studied, and the surface reconstruction. 2. 2 is finally realized. A method of surface reconstruction for large scale seismic data based on terrain partitioning is proposed. Using the idea of terrain block to solve the problem of surface reconstruction of large-scale seismic data, the large scale seismic data which can not be processed in a single computer is divided into terrain blocks, and the scheduling method of terrain blocks is set up to achieve high efficiency. The process of surface reconstruction of large scale seismic data is carried out smoothly, and the ideal effect is obtained. 3. The system of 3D surface reconstruction based on large-scale seismic data is realized. According to the related methods proposed in this paper, each sub-module of 3D geological surface reconstruction system of large-scale seismic data is programmed and tested to verify the correctness of the system effect and the efficiency of the system. Based on the research of large-scale point cloud surface reconstruction method for complex constraints and the design and implementation of related systems, it is proved that this method can adapt to various complex constraints and large-scale seismic data in geological areas. It provides a new idea for point cloud surface reconstruction and 3D geological modeling.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P631.4;P628
【参考文献】
相关期刊论文 前1条
1 王强;郑逢斌;乔保军;马庆华;;一种改进的Delaunay三角网生成算法[J];计算机应用与软件;2010年08期
，本文编号：2127959
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