Research on Noise Filtering of Tunnel Lining Monitoring Data Based on Multi-scale Filtering
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.
国家科技期刊平台
NSTL
万方数据
维普
