Monitoring Data Processing And Visualization Achievement Of Pit Based On GPS

According to the development of a GPS machine with multi-antenna technology and the method of SSDM, the most advanced GPS positioning technology is used to get high-precision pit monitoring data quickly, automatically and accurately to resolve the shortcomings of the traditional methods in deformation monitoring data collection, data processing and data performance. At the same time, after studying on the Kalman Filtering, the author builds the standard data-processing Kalman filter model and which is used to process the Monitoring data of the foundation and the result is well. With the shortcomings of standard Kalman filter model, adaptive Kalman filter and anti-error Kalman Filtering model are built and the examples analysis shows that adaptive Kalman filter model can effectively overcome the data-processing divergence in the process of filtering and anti-poor Kalman Filtering model can effectively weaken or eliminate the gross errors in observations on the current situation so that the system can be keep in the stable state. In addition, In this paper, ADO technology, ActiveX technology, Automation Technology and database technology are used on the development platform of Visual Basic 6.0 and a system of deep pit monitoring data management and visualization called PPVS which integrated the software of Access, Excel, surfer, matlab and SQL query is developed. The system can achieve not only the dynamic management, processing, analysis and search of the monitoring data but also the view of two-dimensional, three-dimensional animation of the deep pit. With this system, the deformation and space settlement of the pit and the surrounding environment can be better reflected, which can provide evidences for the adjustment and the optimistic design of the construction plan and the engineering can get better guide.