基于无人机的同质学对结构的静态和动态移位监测的实验性准确性评估
Ante Marendić1, Dubravko Gajski1, Ivan Duvnjak2
1Faculty of Geodesy, University of Zagreb, 10000 Zagreb, Croatia.
Sensors (Basel, Switzerland)
|March 14, 2026
概括
基于无人驾驶飞行器 (UAV) 的同位学提供了一种实际的非接触式方法来监测桥梁位移. 这种以视觉为基础的方法实现了亚毫米精度,证明了对静态和动态结构健康监测的准确性.
科学领域:
- 土木工程 土木工程是指土木工程.
- 地理学工程 工程地质学
- 结构工程 结构工程
背景情况:
- 对桥梁健康状况的评估而言,结构性移位监测至关重要.
- 传统的传感器是准确的,但昂贵和破坏性.
- 无人驾驶飞行器 (UAV) 平台提供了无接触的替代方案,但平台运动带来了不确定性.
研究的目的:
- 评估基于无人机的同位学对静态和动态桥梁位移监测的准确性和运行可行性.
- 为了比较基于无人机的同谱与传统的方法,如LVDT和RTS.
主要方法:
- 实验验证使用受控校准实地测试,对梁进行静态负载测试,并在交通中监控桥梁.
- 使用基于无人机的同位学来测量非接触式移位.
- 将结果与线性变量微分变压器 (LVDT) 和机器人总站 (RTS) 数据进行比较.
主要成果:
- 在受控条件下实现了毫米以下的垂直精度 (RMSE < 0.3 mm).
- 与LVDT相比,在完全尺寸的桥梁应用中捕获的交通诱导的位移的误差在1-2毫米内.
- 在现实世界的桥梁监控中,证明的RMSE值低于1.4mm.
结论:
- 基于无人机的同位统计是监测桥梁位移的实用和准确的解决方案.
- 这种方法对于难以进入或不安全的地方特别有价值.
- 确保适当的参考点配置和成像几何是成功实施的关键.
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