The Accuracy Analysis Of Multistation And Its Application In Deformation Monitoring

The multistation is an important technological innovation in recent years.It can not only get high-precision single point coordinates,but also get target’s point cloud data.Applying it to the field of deformation monitoring can overcome the shortcomings of traditional deformation monitoring technology using single type data for deformation analysis.The structure and data quality of the multistation is mainly studied;point clouds data registration methods suitable for multistation are discussed.This paper focuses on the application of multistation technology in the field of deformation monitoring.The following research works have been carried out:1.Through summarizing and analyzing the advantages and disadvantages of traditional deformation monitoring methods,the purpose and significance of the paper are expounded.The research status of point cloud data point accuracy analysis,point cloud data splicing and deformation analysis is summarized.2.The concentricity calibration model of the multistation and the total station measuring center is established.The structure of the multistation is analyzed,and the integrated measurement technology is introduced combined with the related modules in the instrument structure.The distance measurement principle of multistation is mainly studied.The principle of laser scanning and scanning mode is studied based on concentricity calibration model.3.The accuracy analysis method of point cloud external coincidence is improved.The accuracy of the accuracy analysis is improved by using the spherical target as the reference standard.The accuracy of the single point coordinate measurement in the prism measurement mode and the unprismatic measurement mode is analyzed.The accuracy is evaluated by using internal accuracy and absolute accuracy index.4.A fast mosaic method of point cloud data for multistation is proposed,which improves the efficiency and accuracy of point cloud data mosaic.The principle and shortcomings of ICP and its improved algorithm and auxiliary method for splicing point cloud data are analyzed and summarized.Design experiments to analyze the stitching effect and accuracy of different stitching methods,and summarize and compare the advantages and disadvantages of different methods.The experimental results show that the efficiency of fast splicing is greatly improved compared with the existing methods,and the accuracy is slightly better.5.Deformation analysis model based on feature point constraint point cloud is proposed.The data acquisition and data preprocessing of multistation in deformation monitoring are studied.A region segmentation method based on feature point control is proposed to block process point cloud data.An algorithm is proposed to calculate the form variables of point cloud to model,and the whole deformation rule of deformable body is analyzed.The accuracy of the analysis method is measured by the true error and the mean error of the deformation.The experimental results show that the method can successfully calculate the shape variables of the variable shape point cloud,which can depict the deformation law of the completely deformable body and have high accuracy.