摘要
基于小波分析理论,对一组隧道洞内水平收敛监测数据进行了去噪重构。实际分析结果表明,小波分析能够有效地去除监测数据的噪声,识别数据中的突变点;从去噪后的数据曲线分析,得出水平收敛量的发展趋势,可以有效地指导隧道的安全施工。
A set of tunnel monitoring data about horizontal convergences were processed for de-noising and reconstructed based on the theory of wavelet analysis.According to the results,wavelet analysis can be effective for de-noising monitoring data and help to identify the catastrophe point of the data.Moreover,the monitoring data curves after de-noising can show the trend of horizontal convergences,which is useful to guide the tunnel construction.
出处
《现代隧道技术》
EI
北大核心
2010年第4期58-61,共4页
Modern Tunnelling Technology
关键词
小波分析
隧道工程
监测数据
Wavelet analysis
Tunnel engineering
Monitoring data
