摘要
本文针对桥梁变形监测数据噪声的特点,选取了合适的小波基函数,利用小波分析理论对变形监测数据进行粗差探测和去噪处理;研究了桥梁变形监测数据在小波分解高频系数下的细节特征和突变点,变形监测数据噪声的特点以及对桥梁变形监测数据的影响。通过分析发现,噪声较大的点通常出现在下沉周期中的个别拐点上,为桥梁的安全信息化施工提供指导。
Based on the characteristics of the noise in data during bridge deformation monitoring, the paper chose appropriate wavelet basis and carried out gross error detection and de-noising with the theory of wavelet analysis. It studied the detailed features and mutational point in the data of bridge deformation monitoring under the condition of high frequency coefficient. Besides, it also studied the features of the noise in deformation monitoring data as well as the effect it exerts on the data. After the analysis, it found that the larger noises usually appear at some inflection point of the sinking circle, which would play an important part in guiding safe informational construction of bridges.
出处
《测绘科学》
CSCD
北大核心
2012年第3期79-81,共3页
Science of Surveying and Mapping
基金
山东省自然科学基金(ZR2009EM002)
关键词
小波分析
桥梁变形监测
去噪
wavelet analysis
bridge deformation monitoring
de-noising
