摘要
为进一步提高超高层建筑变形监测的精度,提出1种联合去噪的方法:分析实时动态差分(RTK)工作模式下全球卫星导航系统(GNSS)传感器背景噪声分布特性;提出利用切比雪夫滤波与自适应噪声完备集合经验模态分解的算法联合去噪,以削弱传感器背景噪声的影响,提高其监测精度;然后采用快速傅里叶变换与随机减量技术,从去噪信号中提取结构的模态信息(固有频率与阻尼比)。实验结果表明,这种方法获得的结果与结构的3维有限元模型分析结果吻合较好,说明GNSS-RTK技术可有效应用于超高层建筑的变形监测中。
In order to further improve the deformation monitoring accuracy of super high-rise buildings,the paper proposed a combined de-noising method:the distribution characteristics of the background noise of GNSS-RTK sensors were analyzed;and the algorithms of Chebyshev filtering and complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN)were combined to remove the noise for reducing the influence of background noise of sensors and advancing the monitoring accuracy;then the modal information(i.e.natural frequency and damping ratio)of the structure was extracted from the denoised signal via using fast Fourier transform and random decrement technique fianlly.Experimental result showed that the analytical output of the proposed method would coincide with that of three-dimensional finite element model of the structure,which indicated that GNSS-RTK technology could be efficiently applied in the deformation monitoring of super high-rise buildings.
作者
夏杨玲
牛彦波
XIA Yangling;NIU Yanbo(China Communications Guangzhou Waterway Bureau Ltd.,Guangzhou 510221,China;School of Civil Engineering,Tianjin University,Tianjin 300350,China)
出处
《导航定位学报》
CSCD
2020年第3期92-99,共8页
Journal of Navigation and Positioning
关键词
全球卫星导航系统
实时动态差分
超高层建筑
联合去噪
结构的模态信息提取
动态特性
global navigation satellite system(GNSS)
real time kinematic(RTK)
super high-rise building
a combined denoising
modal information extraction of structures
dynamic characteristics
