Design And Implementation Of The Deformation Monitoring Data Processing And Prediction Analysis System

Deformation monitoring is a long-term and repeating survey work that aims at monitoring movements of the earth's surface, engineering buildings and establishments, which is catching the deformation information in the sensitive deformation positions and each periodic survey. GPS, photogrammetry and other survey methods play an important role in this area. Conventional survey cannot be replaced in some area (modern space location), and still major means of engineering structure's deformation monitoring.As the deformation monitoring requires higher accuracy, the data processing is quite complicated, monitoring data processing needs a high-precision data processing software. Meanwhile, massive data, quality control and standardized management are difficult, and need to classify stored data. The existing deformation monitoring systems cannot satisfy data processing and management at the same time. Some engineering, such as the high-speed railway settlement evaluation need prediction analysis deformation. Therefore, it is extremely important to develop an integrated system with data processing, management and prediction analysis.In this thesis, the data processing methods of deformation monitoring network and algorithm of prediction model are systematically studied, by Iterative Algorithm of least squares method improved some of the algorithm of index curve model and three points mode prediction model. The research on spatiotemporal correction model is useful for correcting the regional settlement data.On the above basis of the research, the deformation monitoring data processing and prediction analysis system are developed, here the VC#.NET is adopted as the tool, MYSQL are as the basic database system, Excel and text form are as the result output formats,. jpg and.dwg are as the graphics output formats. The main functions of this system are deformation monitoring data processing and management. We can get overall precision statistics information when the system data processing completed, and prediction information, and realize the deformation results output. It consists of five modules:data processing module, data management module, graphics draw module, prediction analysis module, output result module and regional settlement data correction. Finally, Through the use of system processing data and prediction analysis, we can verify the correctness of data process module and prediction analysis module.