Study On Tunnel Structural Health Monitoring And Evaluation Technology Based On Cloud Platform

The scale of railway construction in China is large,and the number of railway tunnels put into operation is numerous.How to monitor and prevent tunnel structure deformation,collapse and other diseases is an urgent problem to be solved in social development and progress.At present,a relatively perfect tunnel structure health monitoring system has been established in China,and some achievements have been made in the field of tunnel health evaluation and tunnel intelligent monitoring platform.However,due to the dispersion of investigation,monitoring and evaluation in tunnel construction disaster prevention and control engineering,the tunnel monitoring information management system also has problems such as client and mobile data cannot be shared.The existing tunnel structural health monitoring system cannot meet the needs of China’s tunnel construction disease prevention and control.The study of the tunnel structural health monitoring system integrating multi-source information collection and health evaluation has great practical significance.As part of the study described in this paper,investigations concerning the monitoring of tunnel structural deformation and vibration response during blasting operation are carried out.A tunnel structural health evaluation system based on structural deformation and vibration response is constructed by analyzing the impact of tunnel construction and safety risk factors.Aiming at the health evaluation of tunnel structure,the key technologies such as tunnel structure monitoring hardware system,tunnel health monitoring software platform,monitoring data processing and health evaluation model are studied.And the tunnel network intelligent monitoring system based on cloud platform,which is of great value to the monitoring and evaluation of tunnel construction in China,is designed and implemented.Firstly,the tunnel safety risk factors and health evaluation system are analyzed,and the software and hardware framework of the tunnel structure health monitoring system is expounded.Then,a tunnel structure monitoring system based on multi-source sensor acquisition is designed,and the data acquisition program is realized by STM32 single chip microcomputer.The data transmission inside the tunnel is completed by RS-485 bus and CAN bus,and the data is uploaded to the tunnel monitoring cloud platform through the network transmission unit.Then,the demand analysis of the tunnel monitoring software platform is carried out,the multi-source monitoring data management database is designed,the tunnel monitoring data docking software is designed,the stability of data communication is guaranteed by the custom network transmission protocol,the Web software and small program of the tunnel structure monitoring system are developed,and the data sharing between different platforms is realized.Then,the monitoring data are pre-processed using wavelet threshold denoising method.The evaluation index is selected by sensor data coupling analysis and data support.The efficacy coefficient method is used to evaluate the health status of the tunnel,and the Gaussian mixture model is introduced into the health evaluation of the tunnel structure.The parameter initialization process of the Gaussian mixture algorithm is improved by principal component analysis and K-Means.The comparison of the two evaluation models verifies its feasibility in tunnel health evaluation.Finally,based on the background of Jiyi tunnel project,the hardware equipment of tunnel structure monitoring system is installed and deployed,and the function of tunnel structure monitoring software is tested,which proves that the tunnel structure health monitoring system designed in this paper can realize real-time monitoring and health evaluation.