桥梁混凝土组件的裂纹检测基于大画面图像,使用无人机飞行器
Zhen Xu1,2, Yingwang Wang1, Xintian Hao1
1School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
这项研究引入了一种新的桥梁裂检测方法,使用无人机 (UAV) 拍摄的大型场景图像,大大提高了混凝土结构的效率和保持高精度.
科学领域:
- 土木工程 土木工程是指土木工程.
- 结构健康监测 结构健康监测
- 计算机视觉 计算机视觉
背景情况:
- 目前使用无人机的桥梁裂检测依赖于低效的局部图像采集.
- 这限制了结构检查的速度和可扩展性.
研究的目的:
- 开发一个高效的裂检测方法,用于桥梁使用大场景无人机图像.
- 改善结构性健康监测的整体过程.
主要方法:
- 设计了一个基于无人机的系统,用于获取大型场景的桥梁图像.
- 实现了背景无声化和最大刻字圆算法用于裂分析.
- 将该方法应用于一座钢筋混凝土桥.
主要成果:
- 与局部图像相比,大场景图像的数据量减少了1/9至1/22.
- 实现了高达93.4%的裂检测精度.
- 在检测效率方面取得了显著的改善.
结论:
- 拟议的基于大场景图像的无人机方法提高了桥梁裂检测效率.
- 这种方法为结构性健康监测提供了可行且准确的解决方案.
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