Automated point clouds processing for deformation monitoring

J. Erdélyi
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引用次数: 2

Abstract

The weather conditions and the operation load are causing changes in the spatial position and in the shape of engineering constructions, which affects their static and dynamic function and reliability. Because these facts, geodetic measurements are integral parts of engineering structures diagnosis. The advantage of terrestrial laser scanning (TLS) over conventional surveying methods is the efficiency of spatial data acquisition. TLS allows contactless determining the spatial coordinates of points lying on the surface on the measured object. The scan rate of current scanners (up to 1 million of points/s) allows significant reduction of time, necessary for the measurement; respectively increase the quantity of obtained information about the measured object. To increase the accuracy of results, chosen parts of the monitored construction can be approximated by single geometric entities using regression. In this case the position of measured point is calculated from tens or hundreds of scanned points. This paper presents the possibility of deformation monitoring of engineering structures using the technology of TLS. For automated data processing was developed an application based on Matlab®, Displacement_TLS. The operation mode, the basic parts of this application and the calculation of displacements are described.
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自动点云处理变形监测
天气条件和运行荷载使工程构筑物的空间位置和形态发生变化,影响其静动力功能和可靠性。因此,大地测量是工程结构诊断的重要组成部分。地面激光扫描(TLS)相对于传统测量方法的优势在于空间数据的获取效率。TLS允许非接触式确定位于被测对象表面上的点的空间坐标。当前扫描仪的扫描速度(高达100万点/秒)可以显着减少测量所需的时间;分别增加被测对象信息的获取量。为了提高结果的准确性,可以使用回归的单一几何实体来近似监测建筑的选定部分。在这种情况下,测量点的位置是从数十或数百个扫描点中计算出来的。介绍了利用TLS技术对工程结构进行变形监测的可能性。为了实现自动化数据处理,开发了一个基于Matlab®的应用程序,Displacement_TLS。介绍了该装置的工作方式、基本部件及位移计算。
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