Gpu并行在BIM模型轻量化中的应用

Bo Cai, Qinghua Zhou
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引用次数: 0

摘要

目前,建筑信息模型在铁路工程项目中的应用需求越来越迫切,数据混乱的BIM模型严重制约了BIM技术在实际应用中的运用。对于该大数据模型的处理和应用,本文采用了一种基于GPU的并行模型处理算法。该方法通过模型的格式转换和GPU并行算法的设计,实现了铁路机房大数据模型的快速、轻量化分析与显示。结果表明,该方法在实现通用格式转换的前提下,可以显著减小大数据模型的体积。与主流曲面约简算法QEM相比,GPU并行算法在三维模型分析速度上提高了数倍。这有利于大数据处理领域的发展,促进BIM技术在铁路行业的实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Gpu parallel in BIM model lightweight
At present, the application demand of building information model in railway engineering project is more and more urgent, and the BIM model with jumbled data seriously restricts the use of BIM technology in practical application.For the processing and application of this big data model, this paper uses a parallel model processing algorithm based on GPU.Through the format conversion of the model and the design of GPU parallel algorithm, the method realizes the rapid and lightweight analysis and display of the large data model in the railway equipment room. The results show that this method can significantly reduce the volume of the large data model under the condition of realizing the universal format conversion.Compared with the mainstream surface reduction algorithm QEM, the GPU parallel algorithm has a multi-fold increase in the speed of analyzing 3D models.This is conducive to the development of the field of big data processing and promotes the practical application of BIM technology in the railway industry.
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