基于LiDAR点云的复杂钢结构模型重建

传统的基于全站仪等单点测量技术难以获取钢结构整体信息,且测量速度慢、模型重建精度低。针对此问题,本文将三维激光扫描技术应用于钢结构模型重建领域,提出了基于LiDAR点云的复杂钢结构模型重建方法。首先,基于标靶球和钢结构面信息实现多测站点云的高精度配准,并通过半径滤波算法去除噪点,以得到完整的激光点云数据;然后,对复杂钢结构单体模型进行分割,以实现各个部件的模型重建;最后,根据现场实测数据对重建的三维模型进行精度评估。试验结果表明,基于该方法得到的模型精度较高,与实际尺寸差值均小于1 cm,为复杂钢结构的三维模型重建提供了有效解决方案。

Reconstruction method of complex steel structure model based on LiDAR point cloud

In order to solve the problems of traditional single-point measurement techniques based on total stations such as difficulty in obtaining overall information of steel structures, slow measurement speed and low model reconstruction accuracy, this paper applies the three-dimensional laser scanning technology to the field of steel structure model reconstruction, and proposes a complex steel structure model reconstruction method based on LiDAR point cloud. Firstly, the high-precision registration of multi-station point cloud is realized based on the target sphere and structural plane information, and the noise is removed by radius filtering algorithm to obtain the complete laser point cloud data. Then,the single model is segmented to realize the model reconstruction of each component of steel structure. Finally, the accuracy of the reconstructed three-dimensional model is evaluated according to the field measured data. The experimental results show that the accuracy of the model obtained by this method is high, and the difference between the model and the actual size is within 1 cm, which provides an effective solution for the three-dimensional model reconstruction of complex steel structure.