Application of adaptive Kalman filter model based on wavelet analysis in deformation monitoring of subway tunnel
To strengthen the safety protection mechanism of the subway, this paper monitored the deformation of a subwaytunnel in a test area based on the intelligent and automatic characteristics of the measuring robot. The Trimble S9 HP measuring robot was selected for data acquisition, and the data and deformation analysis were processed by the cloud platform. Finally, the adaptive Kalman filter model of wavelet analysis was adopted to predict the later deformation. The results show that the measuring precision of the automatic measuring robot meets the requirements of tunnel monitoring and achieves the preset goal of tunnel deformation monitoring. The deformation characteristics of the tunnel structure were analyzed and the deformation of the tunnel structure was predicted by the adaptive Kalman filter model based on wavelet analysis. The predicted data have high precision and can be used as a reference for future construction and subway maintenance.
subway tunnelautomatic measuring robotdeformation monitoringwavelet analysisadaptive Kalman filter model
万方数据
维普
