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ESTABLISHING METHOD OF 3D GEOLOGICAL MODELS BASED ON AIRBORNE LIDAR DATA AND BIM TECHNOLOGY

机译:基于机载激光数据和BIM技术的3D地质模型建立方法

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BIM (Building information model) technology has played a significant role in infrastructure engineering design in recent years. The common 2D topographic map measured by digital mapping cannot satisfy the requirement of BIM 3D design. Therefore, the main objective of this study is to establish 3D geological models for BIM 3D design based on Airborne LiDAR data and geophysical data. ALS (Airborne Laser Scanners) is one of the most effective and reliable means of terrain data collection, using LiDAR data for DTM (Digital Terrain Model) generation is becoming a standard practice in spatial related areas. However, original ALS point cloud cannot be used directly due to the low elevation precision and the influence of non-ground data, while this method is more effective in filtering LiDAR ground point cloud, retaining continuous undulate topography at the same time, and obtaining high precision DTM and 3D geological models through 3D point cloud and geophysical data. Firstly, selecting CSF (Cloth Simulation Filtering) algorithm which constructs virtual grid to simulate terrain surface and filter the residual highway and bridge point cloud by RGB features. Next, by fitting the quadric surface by the RTK (Real-Time Kinematic) control points and using the quadric surface equation to correct the elevation value of point cloud, the high precision DTM can be obtained via revised point cloud data. Then. 3D geological models can be established by geophysical data and DTM. The experimental results show that the 3D geological models generated basing on ALS data and geophysical data can satisfy the requirement of BIM 3D design.
机译:近年来,BIM(建筑信息模型)技术在基础设施工程设计中发挥了重要作用。通过数字地图测量的常见2D地形图无法满足BIM 3D设计的要求。因此,本研究的主要目的是基于机载LiDAR数据和地球物理数据建立用于BIM 3D设计的3D地质模型。机载激光扫描仪(ALS)是地形数据收集的最有效,最可靠的方法之一,使用LiDAR数据生成DTM(数字地形模型)已成为空间相关领域的一种标准做法。但是,由于高程精度低和非地面数据的影响,不能直接使用原始的ALS点云,而这种方法在过滤LiDAR地面点云,同时保持连续起伏的地形和获得较高的地形上更有效。通过3D点云和地球物理数据进行精确的DTM和3D地质模型。首先,选择CSF(布料模拟过滤)算法,该算法构造虚拟网格以模拟地形表面并通过RGB特征过滤残留的高速公路和桥点云。接下来,通过使用RTK(实时运动学)控制点拟合二次曲面并使用二次曲面方程式校正点云的高程值,可以通过修改后的点云数据获得高精度DTM。然后。可以通过地球物理数据和DTM建立3D地质模型。实验结果表明,基于ALS数据和地球物理数据生成的3D地质模型可以满足BIM 3D设计的要求。

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