摘要
由于沉降监测受观测环境、仪器设备及观测人员的影响较大,导致观测数据与真实值之间存在误差。应用小波滤波理论,以MATLAB软件为基础平台采用一维离散小波变换对沉降监测数据进行去噪处理。将数据进行高、低频分解后对细节系数进行分析,并通过小波重构得到的去噪数据对沉降发展趋势进行预测。通过分析发现,小波细节系数能有效地发现沉降波动点,去噪后的数据能有效去除测量粗差。以此论证小波分析在沉降监测中的可行性以及实用性,为施工建设提供有效的指导帮助。
Due to the observed deformation monitoring environmental impact, equipment and observers by leading real data and the actual observation data error exists. In this paper, denoising is made by means of wavelet filtering theory and MATLAB software - based platform with a one - dimensional discrete wavelet trans- form of data. After deviding the data into high and low frequency, detail coefficients are analyzed and wavelet reconstruction is made in detail. Finally we get noise - elimination data and predict the developing trend of sedimentation. The analysis revealed that the wavelet detail coefficients can effectively detect fluctuations set- tlement points, data denoised measures can effectively remove gross error. With this, the feasibility of wavelet analysis in subsidence monitoring and practicality is discussed, which provides effective guidance for construc- tion.
出处
《河南城建学院学报》
CAS
2015年第2期73-76,89,共5页
Journal of Henan University of Urban Construction
关键词
小波去噪
沉降观测
一维离散小波变换
wavelet denoising
settlement observation
one -dimensional discrete wavelet transform
