顾及几何细节特征的铁路基础设施BIM模型轻量化方法

谢亚坤, 张杨, 胡语侬, 詹妮, 孙婷, 朱军, 朱庆

谢亚坤, 张杨, 胡语侬, 詹妮, 孙婷, 朱军, 朱庆. 顾及几何细节特征的铁路基础设施BIM模型轻量化方法[J]. 武汉大学学报 ( 信息科学版). DOI: 10.13203/j.whugis20240254
引用本文: 谢亚坤, 张杨, 胡语侬, 詹妮, 孙婷, 朱军, 朱庆. 顾及几何细节特征的铁路基础设施BIM模型轻量化方法[J]. 武汉大学学报 ( 信息科学版). DOI: 10.13203/j.whugis20240254
XIE Yakun, ZHANG Yang, HU Yunong, ZHAN Ni, SUN Ting, ZHU Jun, ZHU Qing. A Lightweight Approach to Railway Infrastructure BIM Models Considering Geometric Detail Features[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240254
Citation: XIE Yakun, ZHANG Yang, HU Yunong, ZHAN Ni, SUN Ting, ZHU Jun, ZHU Qing. A Lightweight Approach to Railway Infrastructure BIM Models Considering Geometric Detail Features[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240254

顾及几何细节特征的铁路基础设施BIM模型轻量化方法

基金项目: 

国家重点研发计划项目(2023YFB2603700)

详细信息
    作者简介:

    谢亚坤,博士,讲师,主要从事铁路孪生建模研究。yakunxie@163.com。

    通讯作者:

    朱军,博士,教授。vgezj@163.com

A Lightweight Approach to Railway Infrastructure BIM Models Considering Geometric Detail Features

  • 摘要: 铁路基础设施BIM模型的轻量化对于数据高效处理具有重要意义,然而现有轻量化算法存在几何特征保持能力弱、细节信息丢失严重等问题。因此,提出一种顾及几何细节特征的铁路基础设施BIM(Building Information Modeling)模型轻量化方法,重点探讨了轨道、路基、隧道和桥梁BIM模型几何细节特征及其轻量化需求,构建边界保持、角度误差控制、邻域三角形平均面积等简化规则,设计多类型铁路基础设施简化方法,并通过5种评价标准对方法有效性进行了详细分析。实验结果表明,本文方法在保留更多几何细节特征的同时,可有效降低轻量化模型的几何误差,同时方法具有高质量的视觉效果,能够适用于铁路基础设施模型轻量化。
    Abstract: Objectives: Railway infrastructure is diverse in type, large in data volume, and complex in structure. Lightweighting its Building Information Modeling (BIM) models is crucial for efficient data processing. However, existing lightweighting algorithms face issues such as poor retention of geometric features and significant loss of detailed information. Methods: This paper proposes a lightweighting method for railway infrastructure BIM models that considers geometric detail features. The method first focuses on the geometric detail features and lightweighting needs of track, roadbed, tunnel, and bridge BIM models, identifying the challenges faced by lightweighting different models. Secondly, based on the geometric and detail features of different types of railway infrastructure, it establishes rules such as boundary preservation, angle control, and neighborhood area. The boundary preservation factor helps retain the contour features of the model to a greater extent and reduces the occurrence of hollow parts in the model. The angle error control factor prevents the loss of triangular faces caused by large rotation angles during edge folding. The neighborhood triangular average area factor helps retain more local detail features of the model. Finally, it designs simplification methods for various types of railway infrastructure based on different model needs and analyzes the method's effectiveness using five evaluation criteria. Results: Comparative analysis of the three algorithms shows that the method proposed in this paper simplifies the railway infrastructure model more effectively. The method retains more geometric detail features, effectively reduces the geometric error of the lightweight model, and provides high-quality visual effects. Furthermore, the test results of the simplification factors demonstrate that the boundary preservation, angular error control, and average area of neighboring triangles introduced in this paper effectively reduce model voids and maximize the retention of model contours, surface features, and local details. Conclusions: The methodology proposed in this paper effectively simplifies the model and is well-suited for lightweighting railway infrastructure models.
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出版历程
  • 收稿日期:  2024-11-14

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