用于结构健康监测的GNSS时间同步无线视觉传感器网络
Miaomin Wang1, Zuo Zhu1, Ki Young Koo1
1Vibration Engineering Section, Faculty of Environment, Science and Economy, University of Exeter, Exeter, EX4 4QF UK.
概括
一个新的灵活视觉网络 (FVN) 使用全球导航卫星系统 (GNSS) 进行时间同步的无线传感. 这为结构监测和输出测量提供了空间灵活性和可扩展性.
科学领域:
- 工程
- 计算机科学
- 地理学
背景情况:
- 现有的有线和无线时间同步视觉传感器网络面临空间灵活性,可扩展性和与异质系统的集成方面的局限性.
- 准确的时间同步对于捕获动态事件和在传感器网络中实现精确测量至关重要.
研究的目的:
- 开发和验证一个新的时间同步无线视觉传感器网络,即灵活视觉网络 (FVN).
- 展示FVN在空间灵活性,可扩展性和与其他传感器系统的互操作性方面的优势.
- 评估FVN在实验室和实地实验中的性能,以进行结构监测和输出测量.
主要方法:
- 使用全球导航卫星系统 (GNSS) 进行时间同步的灵活视觉网络 (FVN) 的开发.
- 进行四个实验室实验以测量时间印错误,位移精度和系统性能.
- 在步行桥上进行实地实验,以进行时间同步的移位测量和模式参数识别.
- 执行用于同时输入输出测量的应用实验,包括行人定位和结构位移.
主要成果:
- FVN节点之间的时间标记差异显示了17μs的标准偏差.
- 追踪移动目标的最大时间差异为3.05毫秒 (滚动快门) 和0.34毫秒 (全局快门),突出显示了摄像机硬件的影响.
- 发现最大位移测量误差在1/37像素水平.
- 从FVN实验中确定的模态参数与有线加速测量系统一致.
- 成功的时间同步输出测量使得影响线的估计成为可能.
结论:
- 灵活视觉网络 (FVN) 为时间同步的无线视觉传感提供了可扩展,空间灵活且易于集成的解决方案.
- FVN在时间标记和位移测量方面具有很高的准确性,适用于结构健康监测.
- 基于GNSS的时间同步提供了一个强大的方法来实现异质的传感器网络集成,前提是天空可见性.
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