岩土力学 ›› 2024, Vol. 45 ›› Issue (3): 927-938.doi: 10.16285/j.rsm.2023.0442

• 测试技术 • 上一篇    

考虑夯锤姿态特性的夯沉量单目视觉测量方法研究

高乔裕1,金银龙1,刘全1,张宏阳1,梅龙喜2   

  1. 1. 武汉大学 水资源工程与调度全国重点实验室,湖北 武汉 430072; 2. 中国电建集团 华东勘测设计研究院有限公司,浙江 杭州 310010
  • 收稿日期:2023-04-10 接受日期:2023-06-26 出版日期:2024-03-11 发布日期:2024-03-20
  • 通讯作者: 金银龙,男,1980年生,博士,讲师,主要从事空间信息与大地测量、水利工程信息化等研究工作。E-mail: wrhjinyl@whu.edu.cn
  • 作者简介:高乔裕,男,1998年生,博士研究生,主要从事水工隧洞开挖动力响应、水利工程施工信息化等研究工作。E-mail: qiaoyugao@whu.edu.cn

A monocular visual measurement method of ramming settlement considering rammer attitude characteristics

GAO Qiao-yu1, JIN Yin-long1, LIU Quan1, ZHANG Hong-yang1, MEI Long-xi2   

  1. 1. State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei 430072, China; 2. Power China Huadong Engineering Corporation, Hangzhou, Zhejiang 310010, China
  • Received:2023-04-10 Accepted:2023-06-26 Online:2024-03-11 Published:2024-03-20

摘要: 夯沉量是反映强夯地基加固质量的关键指标,人工测量方法不仅投入高、效率低下,且施工安全无法保障。为此,基于单目摄影测量提出一种强夯夯沉量非接触测量方法,实现了强夯夯沉量的高效测算。深入分析并科学定义了适用于单目视觉监测的夯沉量定义;基于夯锤标识的旋转不变性,提取表征夯锤姿态的特征点几何信息,结合视觉成像基本原理,构建了测算夯锤三维姿态的数值方程,求解得到夯锤特征点的三维坐标;在施工现场对所提方法进行工程实测,并通过多余观测对解算结果进行优化尝试。试验及工程应用结果表明,本方法具有精度高、速度快、稳健性强等特点,可有效应用于强夯施工质量监测关键指标参数夯沉量的自动解算,为当前强夯夯沉量自动化监测技术的进步提供了一个新的方向和手段。

关键词: 夯沉量监测, 单目视觉测量, 夯锤位姿, 旋转不变性

Abstract: Ramming settlement is a crucial indicator for evaluating the quality of dynamic compaction foundation reinforcement. At present, it mainly relies on manual monitoring, which seriously affects the efficiency of dynamic compaction construction, and safety cannot be guaranteed. To address these issues, this study proposes a non-contact measurement method using monocular photogrammetry to accurately measure ramming settlement. The method begins by analyzing and scientifically defining the suitable definition of ramming settlement for monocular visual monitoring. Next, based on the fundamental principles of visual imaging, a numerical equation is developed to measure the three-dimensional attitude of the rammer. This is achieved by leveraging the rotation invariance of the rammer to identify geometric feature points and solve for their three-dimensional coordinates. Finally, the proposed method is then tested on the construction site, and the algorithm is optimized using the conditional adjustment method. The experimental and engineering application results demonstrate that this method offers high precision, fast processing speed, and robustness. It can effectively automate the calculation of ramming settlement, a key parameter for monitoring the quality of dynamic compaction. This research provides a new direction and means for advancing the current automatic monitoring technology of dynamic compaction.

Key words: ramming settlement monitoring, monocular photogrammetry, rammer pose, rotation invariance

中图分类号: TV523
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