Study On Ground Subsidence Analysis And Prediction Model

Deformation,whether in nature or human life areas are widespread phenomenon,with China's new urbanization process to speed up the continuous exploitation of mineral resources for the modernization of the construction provides a strong guarantee.But at the same time in the mineral resources after the completion of the mining will usually form a large-scale mined-out area,resulting in local rock and surface movement,mined-out area instability will lead to serious damage to surface subsidence.It is a long time and repetitive measurement operation to monitor the movement of surface points.In this paper,the surface subsidence monitoring and analysis of a coal mine subsidence area in Inner Mongolia can be used to find out the surface deformation of the goaf and find out the settlement and deformation of the goaf in the hilly area.Effective forecasting and early warning model,focusing on the establishment of the geoid and the deformation of the forecasting model to establish and test and other related issues were studied and discussed.The main contents are as follows:(1)Systematically describes the GPS measurement principle,high-precision GPS processing methods.(2)Study the choice of settlement and deformation of the benchmark network,the basis of the establishment of a unified standard.The paper analyzes the theoretical knowledge of the GPS network and the ground network without the constraint adjustment,the GPS baseline vector network constraint adjustment,the GPS network and the ground network.(3)To establish the fitting model of the geoid in the study area of the goaf.In order to find the optimal modeling scheme,the polynomial fitting,GA-BP and support vector machine method are used to study the model.(4)The method of ground subsidence prediction model is described.The probabilistic integral model of ground deformation monitoring and BP neural network prediction model are established in the study area respectively...