Analysis of Ground Ponding Characteristics of Ancient Buildings Based on 3D Point Cloud

Ping Chen, Yuanrong He, Tao Zhong, Leiwen Zhong, Liangtang Chen, Zhiying Xie, Yangfeng Lai
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Abstract

Since old structures were constructed a long time ago, it is vital to find out the extent of their damage and restore the ground. Thus, we developed a ground digital elevation model data (DEM) of ancient structures based on three-dimensional laser point cloud data. Using the point cloud DEM data, we analyzed the flow direction and flow of collected water to obtain the water distribution data around ancient buildings. It is confirmed that the accuracy of the results of the groundwater analysis became higher through the elevation analysis of the cross-section of the point cloud data. The passive water accumulation area was also calculated using a point cloud made to fit the aircraft.
基于三维点云的古建筑地面积水特征分析
由于旧建筑是很久以前建造的,因此查明其损坏程度并恢复地面是至关重要的。因此,我们基于三维激光点云数据开发了古建筑地面数字高程模型数据(DEM)。利用点云DEM数据,对收集水体的流向和流量进行分析,得到古建筑周边水体分布数据。通过对点云数据横截面的高程分析,证实了地下水分析结果的精度有所提高。被动积水区域也使用适合飞机的点云计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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