从GNSS-RTK传感器对桥梁进行动态监测,使用改进的混合排斥方法
Chunbao Xiong1, Zhi Shang1, Meng Wang1
1School of Civil Engineering, Tianjin University, Tianjin 300350, China.
Sensors (Basel, Switzerland)
|June 27, 2025
概括
一种新的混合消噪方法显著提高了全球导航卫星系统实时动态 (GNSS-RTK) 桥梁监测的准确性. 这种先进的技术提高了信号质量,确保在施工过程中更可靠的结构健康评估.
科学领域:
- 地理学工程 工程地质学
- 结构健康监测 结构健康监测
- 信号处理 信号处理
背景情况:
- 在维护和恢复期间对桥梁进行精确的监控对于安全至关重要.
- 全球导航卫星系统实时动态 (GNSS-RTK) 提供了桥梁监控的潜力,但易受噪声的影响.
- 现有的消噪方法可能无法充分提高复杂结构监测的GNSS-RTK准确性.
研究的目的:
- 开发和验证一种改进的混合无雾化方法,以提高GNSS-RTK在桥梁监测中的准确性.
- 通过使用模拟和现实世界的桥梁数据,对现有技术进行拟议方法的性能评估.
- 使用增强监测系统评估正在修复的桥梁的动态特征.
主要方法:
- 开发一种改进的混合无声化方法,将改进的完整集体实证模式分解与自适应噪声 (ICEEMDAN),阻断波动分析 (DFA) 以及改进的波纹值无声化方法相结合.
- 稳定性实验和噪声信号模拟以评估无声性能 (RMSE,SNR).
- 应用增强型GNSS-RTK系统,用于在中国天津一座桥在修复工程期间的监控.
主要成果:
- 与ICEEMDAN和CEEMDAN-WT方法相比,拟议的混合消噪方法显著降低了GNSS-RTK信号中的噪声,实现了较低的RMSE和更高的SNR.
- 现实世界的桥梁监测显示,处理后排位范围减少,表明有效降低噪声.
- 动态分析显示,康复期间的自然频率低于预期,这表明由于缺少组件而导致结构刚度降低.
结论:
- 开发的混合无雾化方法有效地提高了GNSS-RTK对桥梁监测的准确性,特别是在复杂的建筑环境中.
- 该研究强调了桥梁维修期间持续动态监控的重要性,以确定与结构完整性降低相关的风险.
- 这些发现强调了需要在修复期间更加关注桥梁安全,考虑到降低度和复杂的操作条件等因素.
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