基于多尺度滤波的隧道衬砌监测数据噪声滤除研究  

Research on Noise Filtering of Tunnel Lining Monitoring Data Based on Multi-scale Filtering

作　　者：郝涵 Hao Han(Tianjin China Railway Engineering Testing Co.,Ltd.,Tianjin 300000,China)

机构地区：[1]天津中铁工程检测有限责任公司,天津300000

出　　处：《市政技术》2024年第5期214-219,共6页Journal of Municipal Technology

摘　　要：在隧道衬砌监测过程中会受到多种因素的干扰,同时还会存在各种类型的噪声,如环境噪声、传感器噪声或信号传输过程中的干扰噪声等,这些噪声会对监测数据的准确性和可靠性产生负面影响。因此,为了有效解决这一问题,提出了基于多尺度滤波的隧道衬砌监测数据噪声滤除方法,即:利用数据迭代器得到离散化的雷达探测环境参数,建立噪声在衬砌状态图像中的密度函数,再结合密度函数设定隧道衬砌监测门限;然后在一定频域内采集隧道衬砌监测数据;结合K-sigma阈值与多尺度滤波算法,确定衬砌监测数据中的随机噪声;最后设计自适应滤波过程,实现隧道衬砌监测数据的噪声滤除。实验结果表明,该方法能够将衬砌监测数据的信噪比提高到46 dB以上,更好地提升了衬砌监测数据噪声滤除的效果。In the process of tunnel lining monitoring,it is interfered by many factors.There are various types of noise of environmental noise,sensor noise and interference noise during signal transmission,which have a negative im-pact on the accuracy and reliability of monitoring data.Therefore,in order to effectively solve this problem,a noise filtering method of the tunnel noise monitoring data based on multi-scale filtering is proposed.Firstly,the discrete radar detection environment parameters are obtained by data iterator,the density function of noise is established in the lining state image,and then the monitoring threshold is set by the density function;Then,monitoring data is collected in a certain frequency domain;K-sigma threshold and multi-scale filtering algorithm are applied to deter-mine the random noise.Finally,an adaptive filtering process is designed to filter the noise.The experimental results show that this method can improve the signal-to-noise ratio of lining monitoring data to more than 46 dB,which greatly improve the noise filtering effect of lining monitoring data.

关 键 词：隧道衬砌 多尺度滤波 噪声滤除 监测门限 K-sigma阈值 

分 类 号：U455.1[建筑科学—桥梁与隧道工程]