基于摄影测量匹配点云估算建筑表面太阳辐照度

doi:10.13474/j.cnki.11-2246.2023.0271

摘要/Abstract

摘要： 针对现有建筑物太阳辐照度评估方法难以同时兼顾建筑屋顶和立面,激光点云数据成本较高,不适合计算大范围、高密度获取建筑表面点云问题。本文提出了一种基于倾斜影像密集匹配点云进行建筑物表面太阳辐照度一体化评估方法。该方法通过无人机倾斜影像获取感兴趣区域的建筑物三维模型,结合阴影仿真算法和简化后的太阳辐射模型,对建筑物表面进行阴影仿真和太阳辐照度计算。经对比试验验证,本文方法能够准确计算建筑表面太阳辐照度,有效拓展了倾斜摄影测量的应用范围,为协助建筑师设计建筑表面和最大化利用建筑表面太阳能提供了可靠的数据支撑。

关键词: 倾斜摄影测量, 密集匹配点云, 建筑物三维模型, 太阳辐照度, 阴影仿真

Abstract: Aiming at the problems that the current solar irradiance evaluation methods of buildings are difficult to take into account both the roof and the facade of the building, and the laser point cloud data cost is high, which is not suitable for obtaining the point cloud of the building surface in a large range and high density. In this paper, an integrated evaluation method for building surface solar irradiance based on dense matching point clouds of slanted images is proposed. The main content of this method is to obtain the 3D building model of the area of interest by using the UAV oblique image, and to simulate the shadow and calculate the solar irradiance of the building surface by combining the shadow simulation algorithm and the simplified solar radiation model. The experimental results show that this method can accurately calculate the solar irradiance of the building surface, which not only expands the application range of tilt photogrammetry, but also provides reliable data support for assisting architects in designing the building surface and maximizing the use of solar energy on the building surface.

Key words: oblique photogrammetry, dense matching point cloud, building 3D model, solar energy, shadow simulation

中图分类号:

P237

戴志胜, 王鹏飞, 周光建. 基于摄影测量匹配点云估算建筑表面太阳辐照度[J]. 测绘通报, 2023, 0(9): 93-99.

DAI Zhisheng, WANG Pengfei, ZHOU Guangjian. Estimation of building surface solar irradiance based on photogrammetry matching point cloud[J]. Bulletin of Surveying and Mapping, 2023, 0(9): 93-99.

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