基于点云数据的大型复杂箱梁智能虚拟预拼装技术
作者:
作者单位:

(1.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;2.重庆大学 土木工程学院,重庆 400045;3.中铁大桥局集团有限公司第六工程有限公司,湖北 武汉 430101;4.中铁大桥局集团有限公司丰城分公司,江西 丰城 331104)

作者简介:

廖岳(1997—),男,重庆大学博士生。Email: 20221601068@stu.cqu.edu.cn

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中图分类号:

U445.4

基金项目:

国家自然科学基金项目联合基金项目(U20A20312)


Intelligent virtual trial assembly for large and complex box girders based on point cloud data
Author:
Affiliation:

(1. Key Laboratory of New Technology for Construction of Cities in Mountain Area,Chongqing University, Chongqing 400045, China;2. School of Civil Engineering, Chongqing University, Chongqing 400045, China;3. The sixth Engineering Co., Ltd., China Railway Major Bridge Engineering Group Co.,Ltd., Wuhan 430101,China; 4. Fengcheng Branch, China Railway Major Bridge Engineering Group Co.,Ltd.,Fengcheng 331104,China)

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    摘要:

    为解决桥梁建造过程中,实体预拼装场地占用过大和施工周期过长的问题,基于点云技术,提出一种大型复杂箱梁的智能虚拟预拼装方法。通过对箱梁连接方式进行分析,建立虚拟预拼装的技术框架和虚拟预拼装流程。考虑到箱梁节段加工的质量精度,开发基于特征平面的梁轴线方向向量提取算法。本研究还对点云数据匹配方法进行了分析,并根据先验知识降低其计算复杂度。以江西省丰城市紫云大桥为工程背景,对本虚拟预拼装技术进行验证。研究结果表明:本虚拟预拼装方法具备自动化程度高,且不依赖于三维模型,并能有效指导相邻钢箱梁对接截面的错位修正,提高施工效率,为类似结构的数字化建造提供理论支撑和技术参考。

    Abstract:

    To solve the problems of site occupation and long construction cycles of physical trial assembly(PTA)during bridge construction,the intelligent virtual trial assembly(VTA)method for large and complex box girders was proposed based on point cloud data(PCD). The connection pattern of the box girder was analyzed to establish the technical framework and the flow of methods for the VTA. Considering the quality control accuracy of box girder segment machining,the algorithm for beam axis direction vector extraction was developed based on the characteristic plane. The PCD matching methods was also analyzed, and the computational complexity was reduced based on prior knowledg. Taking the Ziyun Bridge in Fengcheng City, Jiangxi Province as the engineering background, the virtual pre assembly technology was verified.the research results show that the intelligent VTA method proposed in this paper is charactered as high degree of automation. That does not depend on the 3D model. The proposed method can effectively guide the correction of dislocation in the butt joint section of adjacent steel box girders,improving the construction efficiency. This study can provide theoretical support and technical reference for the digital construction of similar structures.

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引用本文

廖岳,刘界鹏,王文渊,等.基于点云数据的大型复杂箱梁智能虚拟预拼装技术[J].交通科学与工程,2023,39(6):33-39.
LIAO Yue, LIU Jiepeng, WANG Wenyuan, et al. Intelligent virtual trial assembly for large and complex box girders based on point cloud data[J]. Journal of Transport Science and Engineering,2023,39(6):33-39.

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  • 收稿日期:2023-11-02
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  • 在线发布日期: 2024-01-16
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