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图学学报 ›› 2025, Vol. 46 ›› Issue (5): 1134-1143.DOI: 10.11996/JG.j.2095-302X.2025051134

• 建筑与城市信息模型 • 上一篇    下一篇

基于非平衡最优传输理论的拉索式幕墙面板尺寸检测方法

谭立云1,2(), 刘界鹏1,2(), 李汉涛3, 曾焱1,2, 廖岳1,2, 吴小峰3, 崔娜1,2   

  1. 1 重庆大学土木工程学院重庆 400045
    2 重庆大学山地城镇建设与新技术教育部重点实验室重庆 400045
    3 广州葛洲坝建设工程有限公司广东 广州 511466
  • 收稿日期:2024-11-11 接受日期:2025-04-25 出版日期:2025-10-30 发布日期:2025-09-10
  • 通讯作者:刘界鹏(1978-),男,教授,博士。主要研究方向为智能建造。E-mail:liujp@cqu.edu.cn
  • 第一作者:谭立云(2001-),女,硕士研究生。主要研究方向为智能建造。E-mail:erintly@cqu.edu.cn
  • 基金资助:
    国家自然科学基金(52130801)

Dimension detection method for cable support curtain wall panels based on unbalanced optimal transport theory

TAN Liyun1,2(), LIU Jiepeng1,2(), LI Hantao3, ZENG Yan1,2, LIAO Yue1,2, WU Xiaofeng3, CUI Na1,2   

  1. 1 School of Civil Engineering, Chongqing University, Chongqing 400045, China
    2 Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing University, Chongqing 400045, China
    3 Guangzhou Gezhouba Group Construction Engineering CO., LTD, , Guangzhou Guangdong 511466, China
  • Received:2024-11-11 Accepted:2025-04-25 Published:2025-10-30 Online:2025-09-10
  • First author:TAN Liyun (2001-), master student. Her main research interest covers intelligent construction. E-mail:erintly@cqu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(52130801)

摘要:

玻璃幕墙因独特的美感和强大的塑型能力被广泛应用于大型场馆和地标建筑,其施工流程为先施工龙骨支撑系统再进行玻璃面板的安装与调试,但在具体操作时,建成龙骨的轴线通常与设计轴线有所偏差,导致后续玻璃面板施工困难。本文开展基于非平衡最优传输理论的幕墙点云轴线提取研究。该方法充分利用点云数据信息,结合非平衡最优传输理论,包括输入点云数据、点云数据预处理、随机采样获得初始轴线点集、提取杆件粗轴线和提取杆件精轴线等步骤,以此获得目标点云的轴线特征,后续再根据提取到的轴线获取幕墙尺寸。实验结果表明,该方法能有效提取幕墙龙骨的轴线,且具有良好的中心性与鲁棒性。通过与其他算法进行比较,证明了其有效性。计算得到的幕墙尺寸与实际测得的结果相比,误差在±2 mm内,在允许误差范围内。

关键词: 点云数据, 轴线提取, 非平衡最优传输, 玻璃幕墙, 智能建造

Abstract:

Glass curtain walls are widely used in large venues and landmark buildings due to their unique aesthetic appeal and powerful shaping capabilities. The construction process is to first construct the keel support system and then install and debug the glass panels. However, during the specific operation, the axis of the built keel usually deviates from the design axis, complicating subsequent construction of glass panels. Our research on axis extraction of curtain-wall based on unbalanced optimal transport theory was conducted. This method fully utilized point-cloud data information and combined non-equilibrium optimal transmission theory. Steps included inputting point cloud data, preprocessing point cloud data, random sampling to obtain an initial axis point set, extracting a thick axis of the rod, and extracting a fine axis of the rod. In this way, the axis features of the target point cloud were obtained. Then, the curtain-wall dimensions were obtained based on the extracted axis. Experimental results showed that this method can effectively extract the axis of the curtain-wall keel and exhibited strong centrality and robustness. The effectiveness of the method was demonstrated by comparison with other algorithms. Compared with the actual measured results, the calculated curtain-wall dimensions deviated by within ±2 mm, remaining within the allowable error range.

Key words: point cloud data, axis extraction, unbalanced optimal transport, glass curtain wall, intelligent construction

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