| The foundation pit project has a strong space-time effect.The foundation pit of f actors has a greater impact on the stability and deformation of the foundation pit support system,such as depth,plane area and shape.During the construction process,deep foundation pit project has deformation.In order to ensure the safety of the deep foundation pit,it is of great significance to grasp its deformation in a timely manner.In response to the above problems,this article takes a deep foundation pit in Chongqing as the research object,and combines building information model(BIM),web-side 3D model loading engine,Internet of Things,and cloud platform technology with traditional deep foundation pit monitoring concepts.A cloud platform foundation pit dynamic monitoring information system based on the BIM model was developed.The main research contents are as follows:(1)Use the Revit family editor to parameterize the deep foundation pit.In the first place,we use Three.js to build and set the rendering scene of the loaded model after learning 3D graphics knowledge.In the second palce,Implement the loading of the OBJ& MTL format model and dynamic browsing,and finally use Java Script script language to bind the specified monitoring point model with its database data,and can draw the monitoring data change chart as needed.(2)We randomly selected data from three different monitoring types from all monitoring points(JC1,ZN1,MSE01),and use Matlab to establish a pre-model of EMDPSO-BP,PSO-BP,and BP neural network based on the data of a single monitoring point.EMD-PSO is optimal pre-model by comparing with others.Finally,C# is used to execute the.bat file to call the EMD-PSO-BP model algorithm written by Matlab,so that the dynamic data prediction function is embedded in the deep foundation pit automatic monitoring cloud platform.(3)In order to realize the function of wireless remote automatic acquisition of data,the laser rangefinder and the anchor strain gauge alarm for automatic alarm are theoretically studied.Then the laser rangefinder is used as the research object,and the sensor is dial-up networked through TD-SCDMA and WCDMA to realize the interaction between the background staff and the sensor.In order to further store the data transmitted by the sensor into the designated database,it was written in C# A Winform program based on MVC mode,which realizes the reading of wireless sensor transmission data and realtime data import into the database.(4)Based on the ASP.Net and SQL Server databases,based on the above research,independently designed a deep foundation pit automatic monitoring cloud platform early warning system for B/S(Browse/Server)sharing mode.The system can realize real-time monitoring of monitoring site sensors through wireless remote communication technology,and share the monitoring results on the Internet through the Web end.When the monitoring data shows an overrun,the server will send alarm information to the designated staff by mail. |
