"变形监测及数据预处理技术综述-毕业论文GIS.doc"

Deformation monitoring is vital for various industries and projects to ensure the stability and safety of structures. This paper focuses on the methods and techniques used in deformation monitoring, with a particular emphasis on data preprocessing. The main methods used in deformation monitoring include geodetic methods, photogrammetric methods, physical sensor methods, and GPS technology. These technologies have injected new vitality into deformation monitoring, making it simpler and more accurate. The paper also discusses the selection of deformation monitoring points and the establishment of deformation monitoring control networks. Data preprocessing methods for deformation monitoring include logical test method, monitoring model test method, and correlation analysis test method. In terms of outlier detection, both single outlier and multiple outliers detection methods are discussed. Single outlier detection methods include Raimunda's criterion method, ESD statistical test, and Dixon's test. Overall, this paper provides a detailed introduction to deformation monitoring and data preprocessing, highlighting the importance of these processes in ensuring the accuracy and reliability of deformation monitoring results. Deformation monitoring and data preprocessing play a crucial role in various industries and projects, and continuous research and improvement in this field are essential for ensuring the safety and stability of structures.