Study On The Method Of Settlement Analysis Of Earth Deformation In GPS Deformation Monitoring

In real life, there are many typical deformation and failure phenomenon, such as landslides, earthquakes, volcanic eruptions and the collapse of buildings, etc. What’s more, these disasters have very close links with deformations. Deformable body subjected to various force, its shape, size and position will change over time. The amount of deformation within a certain range is safe, if the security value is exceeded, it may cause disasters. Therefore, it is extremely important for the safety of people’s lives and property and construction management, to get the information of deformation monitoring objects with scientific, accurate, efficient, and timely analysis and processing the monitoring data,whether in the natural disasters, or during the construction of engineering buildings from earlier to later operational phases.In recent years, with the rapid progress of 3S technology, deformation monitoring technology is constantly moving forward. Because of the advantage of rapid positioning, high precision, automation, all-weather, without having to be visible between stations and simultaneous determination of the three-dimensional coordinates of stations, GPS technology is widely used in deformation monitoring. Many deformation monitoring projects require normal height. Convert geodetic height into normal height causes a loss of precision in the process, which is not conducive to extract elevation change values in GPS deformation monitoring, which interfere with later settlement analysis. But at the same station, the height anomaly of twice GPS deformation monitoring will not change. Therefore, as long as the measured geodetic height variation in two phases of the same station, you can get the normal height variation in two periods. In other words we can use GPS geodetic height instead of the normal height which is obtained by precise leveling for sedimentation analysis.One of the important content of deformation monitoring is to process and analyse the data, and to establish the deformation forecasting model. Due to the effect of observation conditions, any deformation monitoring data will inevitably contain errors. Therefore, it needs to preprocess the data in order to detect noise, interference, and highlight information. At present, the commonly used monitoring data pre-processing method, includes the review of monitoring data, monitoring data interpolation and fitting, as well as monitoring data filtering. The commonly used method of deformation analysis and prediction models, mainly includes the trend analysis, regression analysis model, grey theory model, wavelet analysis and artificial neural networks. Using these deformation analysis methods requires prerequisites. The engineering different, the deformation analysis method used is different. In addition, some methods of deformation modelling using only a single point, and does not take into account the spatial dependence of monitoring points, the monitoring model also fails to reflect the overall deformation law. Therefore, it is still a research with important theoretical significance and application value to research the deformation analysis method which is most appropriate for the actual project and reflectting the overall deformation law, mastering the deformation analysis methods prerequisites and taking into account the spatial dependence of monitoring points, in order to make deformation prediction more accurately and efficiently, and then verify the corresponding design concept and engineering practice.The paper discusses the method of using GPS geodetic height for sedimentation analysis based on learning the theory of GPS geodetic height for settlement analysis, by learning some of the classic approach of data preprocessing and theory of deformation analysis and prediction, using matlab7.0 software to achieve these common monitoring and deformation analysis of data preprocessing and modeling method, finally using GPS geodetic height data of GPS landslide monitoring in Ahai reservoir area to compare the monitoring data processing theory and method of deformation analysis referred in this thesis, in order to conclude a more appropriate settlement analysis method.