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图学学报 ›› 2022, Vol. 43 ›› Issue (1): 156-162.DOI: 10.11996/JG.j.2095-302X.2022010156

• 建筑与城市信息模型 • 上一篇    下一篇

基于 BIM+CV 的现浇混凝土建筑结构构件定位 

  

  1. 华北电力大学经济与管理学院,北京 102206
  • 出版日期:2022-02-28 发布日期:2022-02-16

Location of cast-in-place concrete structural members based on BIM + CV 

  1. School of Economics and Management, North China Electric Power University, Beijing 102206, China
  • Online:2022-02-28 Published:2022-02-16

摘要: 建筑结构构件定位是自动化进度追踪的关键。现有研究的监控对象均为简单的施工现场,而今 建筑的形式越来越复杂且以现浇混凝土结构为主。为了追踪这类建筑的施工进度,基于建筑信息建模(BIM)和 计算机视觉(CV)技术,提出了一种从俯视视角对现浇混凝土建筑结构构件定位的方法。首先使用目标检测技术 从施工现场俯视图中识别处于施工状态的建筑结构构件;并利用相机成像原理将 BIM 元素投影到成像平面; 最后通过配准检测结果和投影结果来建立实际构件与 BIM 元素之间的映射关系,从而实现结构构件的自动定 位。实验结果表明,构件的识别精度为 82.08%,配准率为 94.17%,平面支模阶段的识别和配准效果最好。与 类似方法相比,该方法降低了遮挡程度,充分利用了上下文信息,更符合实际施工过程,为复杂建筑的施工过 程追踪提供了新方案。

关键词: 施工进度追踪, 构件定位, 建筑信息建模, 目标检测, 投影模型

Abstract: The positioning of building structural components is the key to automatic progress tracking. In the existing research results, the monitoring object is a simple construction site, and the form of today’s buildings is increasingly complex and is mainly of cast-in-place concrete structure. In order to track the construction progress of this kind of building, based on building information modeling (BIM) and computer vision (CV) technology, a method was proposed to locate the structural members of cast-in-place concrete building from the top view. Firstly, target detection technology was employed to identify the structural components in the construction state from the top view of the construction site. The BIM elements were projected onto the imaging plane based on the principle of camera imaging. Finally, the mapping relationship between the actual components and BIM elements was established through the results of registration and projection, so as to realize the automatic positioning of structural components. The experimental results show that the recognition accuracy is 82.08% and the registration rate is 94.17%. The recognition and registration effect of the plane formwork is the best. Compared with the similar methods, this method reduces the degree of occlusion, makes full use of the context information, and is more in line with the actual construction process. It provides a new scheme for the construction process tracking of complex buildings. 

Key words: construction progress tracking, component positioning, building information modeling, target detection, projection model 

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