The Application Research Of Foundation Pit Monitoring And Pre-Warning Technology In Metro Construction Of Hangzhou

This topic takes super-large deep foundation pit in metro station of Hangzhou as the object of study. first to establish a monitoring system, focusing on the use of monitoring data provided by the use Matlab neural network toolbox written in Elman neural network program is established based on Matlab language, deep base pit engineering simulation system for intelligent monitoring. And make use of the forecast system displacement monitoring data for training, the successful use of the measured displacement data on follow-up carried out to predict the amount of diurnal variation, indicating that the use of neural networks in monitoring of deep pit that has a better practicability.The mainly research of this dissertation are as follows:1. For the safety of metro pit several aspects of the monitoring system more in-depth study, Excavation work on the design of monitoring programs, monitoring of information processing and analysis, monitoring and warning values to determine the layout and graphic monitoring systems, etc. discussed in this paper shows the technical work monitoring and warning role in deep foundation construction is very important.2. By virtue of artificial neural network forecasting method for deep foundation excavation construction in the horizontal displacement made by time-varying dynamic analysis, and then arrive at the reliability of forecasting methods.3. Taking into consideration of the practical application, this article uses neural networks based on Matlab language, intelligent monitoring of deep foundation excavation simulation system to achieve the amount of diurnal variation of displacement prediction. It has some practical significance.