Research On The Monitoring Information Management System And Three-Dimension Visualization Of Deep Foundation Pit

The acceleration of urbanization progress, lead to the development of deep foundation pit engineering, also raises a series of geotechnical engineering problems.Due to the complexity of the geotechnical engineering, the existing theory of computation is still not fully reflect the complex situation of the construction process.Thus, monitoring and measurement in foundation construction still plays an indispensable role.By analyzing the monitoring data, timely prediction and warning, to make reasonable construction measures and recommendations have great significance for the guidance of the construction. In this paper,for the status of backward data management method, not timely forecasting and early warning,low visualization, a deep foundation pit monitoring information management system with the function of data information management forecasting and early warning;data editing queries and visualization is developed in order to achieve informational construction. The following research is carried out:(1) Based on Geodatabase geographic database technology, deep excavation monitoring information are devided into spatial and attribute database,further improving the construction of deep foundation excavation monitoring database,proposing coding principles of data items and attribute table,establishing deep foundation pit monitoring foundation database on the platform of ArcGIS Diagrammer.(2) Research on the current national and local norms about current deep deformation control standards, deep deformation control targets is proposed to develop a deep deformation four-color warning system.The BP neural network is used to predict deformation of deep foundation pit,using powerful nonlinear mapping ability of BP neural network to predict the deformation monitoring data pit next phase, and multi-step rolling forecast is used to improve forecast accuracy.(3) Based on the visualization technology of ArcGIS,spatial interpolation; drawing and color gradient methods to achieve three-dimensional visualization of stratigraphic information;excavation information and monitoring information. In the progress of visualization, for the sparse of the monitoring point and spatial distribution of sample points issue,research on sample point expansion and correction interpolation methods are carried out.(4) In the above study, the second development is taken based on ArcGIS component library, building deep excavation monitoring information management system.The system has the ability of pit monitoring information management; forecasting and early warning data and three-dimensional visualization of the monitoring information. Re lying on Changzhutan railway station Xiangfu road foundation pit to verify the monitoring system. The results show that the deep excavation monitoring information management system can effectively improve management efficiency and analysis capabilities, and also improve information technology construction further.