测绘通报 ›› 2025, Vol. 0 ›› Issue (8): 159-163,178.doi: 10.13474/j.cnki.11-2246.2025.0826

• 技术交流 • 上一篇    下一篇

多源数据融合的BIM逆向建模技术在历史文化街区保护中的应用

邢旺, 方正, 徐毅, 张仓皓, 孙联曾, 王召泽   

  1. 济南市房产测绘研究院, 山东 济南 250001
  • 收稿日期:2025-03-27 出版日期:2025-08-25 发布日期:2025-09-02
  • 通讯作者: 王召泽。E-mail:119933618@qq.com E-mail:119933618@qq.com
  • 作者简介:邢旺(1989—),男,高级工程师,研究方向为三维激光扫描、BIM建模技术等。E-mail:920967379@qq.com

Application of BIM reverse modeling based on multi-source data fusion in the preservation of historic and cultural blocks

XING Wang, FANG Zheng, XU Yi, ZHANG Canghao, SUN Lianzeng, WANG Zhaoze   

  1. Jinan Institute of Real Estate Surveying and Mapping, Jinan 250001, China
  • Received:2025-03-27 Online:2025-08-25 Published:2025-09-02

摘要: 本文针对既有建筑传统建模在历史文化街区保护中存在的模型完整度低、数据精度不稳定等问题,提出了“全域采集-数据融合-智能重建”技术体系。通过三维激光扫描与多视角摄影测量技术,分别获取建筑毫米级几何框架与高分辨率纹理信息,采用改进的SICP算法实现多源点云精准融合,最终利用BIM逆向建模构建蕴含建筑信息的实景三维模型。结果表明,该方法模型几何精度达毫米级,完整度超98%,支持多维时空信息叠加分析,为街区预防性保护、虚拟修复及活化利用提供全生命周期解决方案。

关键词: BIM逆向建模, 三维激光扫描, 历史文化街区, 点云融合

Abstract: Addressing the issues of low model completeness and unstable data accuracy in traditional modeling of existing buildings in historical and cultural districts,a technical system of “comprehensive acquisition-data fusion-intelligent reconstruction” is proposed.By utilizing 3D laser scanning and multi-view photogrammetry technologies,millimeter-level geometric frameworks and high-resolution texture information of buildings are obtained respectively.An improved SICP algorithm is employed to achieve precise fusion of multi-source point clouds.Finally,using BIM reverse modeling to construct a realistic 3D model containing building information.The results indicate that this method achieves millimeter-level geometric accuracy and over 98%completeness of the model,supporting multi-dimensional spatio-temporal information overlay analysis.It provides a full lifecycle solution for preventive conservation,virtual restoration,and revitalization of the district.

Key words: BIM reverse modeling, 3D laser scanning, historical and cultural district, point cloud fusion

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