Intelligent Monitoring Of Bridges Based On BIM Design And Implementation Of Disease Prediction System

Transportation is an important industry related to the flow of materials and personnel.Its good operation plays an important role in the economic development of different regions.It is a basic industry directly related to people’s clothing,food,housing and transportation.Bridge engineering is an important link to ensure the unimpeded public transportation,and the safe operation of Bridges is the key to directly guarantee the normal production activities of the society.However,due to the characteristics of dispersed distribution and long time span,bridge engineering will be affected by environmental changes and human activities in its whole life cycle,which will lead to the damage of bridge structure.In order to evaluate the damage of the bridge structure,it is necessary to monitor the parameters of the bridge operation and comprehensively evaluate the service condition of the bridge.The existing bridge monitoring and disease prediction systems have some problems,such as poor visualization of 2D scene and inaccurate prediction.Therefore,this thesis designed a bridge health monitoring and disease prediction system based on Building Information Modeling(BIM)to monitor the running state of the bridge and ensure the normal operation of the bridge.The main work contents of this thesis are as follows:1.Design the bridge health monitoring program that fits the structure of Southwest Jiaotong University Z16 bridge.In order to provide data support for the safe operation of Bridges,various kinds of information and sensor types and placement points that need to be monitored are analyzed in detail.2.Preprocessing of bridge monitoring data,including monitoring data smoothing based on S-G filtering and monitoring data correlation analysis based on Fourier transform and wavelet decomposition,and using linear regression model to verify the correlation conclusion,proposed LSTM and ARIMA algorithm based on temperature change to carry out data differential preprocessing.The future information of bridge monitoring data is predicted.3.The realization process of the system is described in detail,and advanced technologies such as BIM and Geographic Information System(GIS)are adopted to build a true 3D scene of bridge monitoring.In addition,a BIM-based bridge health monitoring and disease prediction system with front and rear end separation is built to realize the visual management of the true three-dimensional scene of the bridge.The management of monitoring equipment deployment information,basic sensor information,bridge information,monitoring information,bridge disease prediction and bridge disease alarm based on BIM+GIS is mainly realized.