A Data Extraction Algorithm for Huge Data Visualization Based on Computational Meshes

Yuan Ye
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Abstract

In order to accelerate the visualization processes of huge engineering data based on computational meshes, the extraction of huge data are necessary. A data extraction algorithm of engineering visualization data based on meshes is presented. Based on ordinary four-node tetrahedron elements, ten-node tetrahedron elements, eight-node hexahedron elements, the algorithms are studied to extract and simplify data for huge engineering data visualization, which includes relationships judgment between objective points and elements and interpolation algorithm in elements. Experiments of huge data transportation are given here, which show that the algorithm is reliable, and the algorithm can be used to extract visualization data from huge data of engineering computational results.
基于计算网格的海量数据可视化数据提取算法
为了加快基于计算网格的海量工程数据的可视化过程,需要对海量数据进行提取。提出了一种基于网格的工程可视化数据提取算法。在普通四节点四面体单元、十节点四面体单元、八节点六面体单元的基础上,研究了面向海量工程数据可视化的数据提取与简化算法,包括目标点与元素之间的关系判断和元素内插算法。给出了大数据传输的实验结果,实验结果表明,该算法是可靠的,可用于从海量工程计算结果数据中提取可视化数据。
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