测绘通报 ›› 2026, Vol. 0 ›› Issue (8): 161-167.doi: 10.13474/j.cnki.11-2246.2026.0823

• 技术交流 • 上一篇    

基于改进QEM算法的桥梁BIM模型轻量化

王庆国, 万小婉   

  1. 武汉科技大学汽车与交通工程学院, 湖北 武汉 430070
  • 收稿日期:2025-11-19 发布日期:2026-09-12
  • 通讯作者: 万小婉。E-mail:3414206991@qq.com
  • 作者简介:王庆国(1974—),男,博士,教授,主要研究方向为智能位置信息服务与智能交通系统、BlM与智能建造。E-mail:qgwang22@163.com
  • 基金资助:
    武汉市重点研发计划(2024050702030122)

A lightweight approach research to bridge BIM models based on improved QEM algorithm

Wang Qingguo, Wan Xiaowan   

  1. School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430070, China
  • Received:2025-11-19 Published:2026-09-12

摘要: [目的] 完整的桥梁BIM模型通常包含大量的细节性信息,造成模型实时可视化和传输处理的困难,对桥梁BIM模型进行轻量化处理,是实现模型高效可视化、传输和处理等操作的现实需要。基于此,本文提出了一种基于改进QEM算法的桥梁BIM模型轻量化方法。[方法] 该方法针对经典QEM算法在实现桥梁BIM模型轻量化时存在的特征信息丢失、边界数据缺失和产生狭长三角面等问题,通过改进边界折叠条件和优化三角面片收缩处理方法对原算法进行了改进。[结果] 连续梁型桥梁BIM模型的轻量化试验结果表明,改进QEM算法在显著降低模型数据量的同时,有效抑制了模型破面的产生,并更好地保留了关键的几何特征。[结论] 本文方法在提高数据传输效率的同时,改善了模型的视觉效果。

关键词: QEM算法, 桥梁, BIM模型, 轻量化, 特征信息

Abstract: [Purposes] Complete bridge BIM models typically contain a large amount of detailed information,leading to difficulties in real-time visualization,transmission,and processing.Lightweight processing of bridge BIM models is a practical necessity to achieve efficient model visualization,transmission,and processing operations.Based on this,This paper proposes a lightweight method for bridge BIM models based on an improved QEM algorithm. [Methods] The method addresses issues such as loss of feature information,missing boundary data,and the generation of narrow triangular surfaces encountered when applying the classic QEM algorithm for lightweight processing of bridge BIM models.Improvements are made by refining boundary collapse conditions and optimizing the processing method for triangular patch contraction. [Findings] Experimental results on lightweight continuous girder bridge BIM models show that the improved QEM algorithm significantly reduces model data volume while effectively suppressing the occurrence of surface ruptures and better preserving key geometric features. [Conclusions] This enhances data transmission efficiency and improves the visual quality of the model.

Key words: QEM algorithm, bridge, BIM models, light weighting, feature information

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