| 基于点云投影线探测的高墩位姿自动检测方法 |
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| 引用本文： | 韩富庆,郭国和,杨承昆,吴勇生,王伟力,李彩林.基于点云投影线探测的高墩位姿自动检测方法[J].测绘通报,2021,0(9):130-135,150. |
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| 作者姓名： | 韩富庆 郭国和 杨承昆 吴勇生 王伟力 李彩林 |
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| 作者单位： | 1. 广东云茂高速公路有限公司, 广东 广州 510623;2. 湖南联智科技股份有限公司, 湖南 长沙 410200;3. 山东理工大学, 山东 淄博 255049 |
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| 基金项目： | 国家自然科学基金（41601496）；山东省重点研发计划（2018GGX106002）；山东省艺术科学重点课题（201806353） |
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| 摘 要： | 针对目前超高桥墩垂直度检测方法存在危险系数较高、精度难以保证或自动化程度与工作效率较低的情况，本文提出一种基于三维激光扫描技术的点云数据超高桥墩位姿自动检测方法。该方法首先将海量墩面点云双向分层；然后依条件选择分层文件探测点云投影线并划分桥墩面缓冲区；最后根据缓冲区自动提取墩面点云并进行位姿检测。本文以某山区高速桥梁高墩位姿检测为例进行试验，试验结果，表明该方法具有无接触测量、高自动化、高工作效率及检测范围全面的优势。
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| 关 键 词： | 三维激光扫描 高墩桥梁 海量点云 直线检测 缓冲区 位姿检测 |
| 收稿时间： | 2020-10-22 |
| 修稿时间： | 2021-07-20 |
Automatic detection method of position and posture of high bridge piers based on detecting projection line of point cloud |
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| HAN Fuqing,GUO Guohe,YANG Chengkun,WU Yongsheng,WANG Weili,LI Cailin.Automatic detection method of position and posture of high bridge piers based on detecting projection line of point cloud[J].Bulletin of Surveying and Mapping,2021,0(9):130-135,150. |
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| Authors: | HAN Fuqing GUO Guohe YANG Chengkun WU Yongsheng WANG Weili LI Cailin |
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| Institution: | 1. Guangdong Yunmao Expressway Co., Ltd., Guangzhou 510623, China;2. Hunan Lianzhi Technology Co., Ltd., Changsha 410200, China;3. Shandong University of Technology, Zibo 255049, China |
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| Abstract: | At present, there are some problems in the verticality detection methods of super-high bridge piers, such as high risk factors, difficult to guarantee the accuracy, or low automation and working efficiency. In view of the above problems, this paper presents an automatic detection method of position and posture of high bridge piers based on 3D laser scanning and massive point cloud. This method first layers massive pier point clouds in two directions, then selects layered files to detect the point clouds projection line and divides the pier surface buffer area according to the conditions, and finally automatic extracts the pier surface point cloud based on the buffer area and detected the position and posture. In this paper, an example of the position and posture detection of a high-speed bridge in a mountainous area is carried out. The experimental results show that this method has the advantages of no contact, high automation, high work efficiency and wide detection range. |
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| Keywords: | 3D laser scanning high-rise bridges massive point cloud line detection buffer position and posture detection |
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