A real-scene 3D model of complex buildings, derived from UAV (Unmanned Aerial Vehicle) surveys, can significantly improve the accuracy of sunlight analysis for the arrangement of photovoltaic panels. We propose a method for sunlight analysis of complex building roofs driven by the real-scene 3D model, which includes generating and optimizing the 3D model and a parameterized sunlight analysis algorithm. The generation and optimization method involves: reducing the number of model meshes by selecting a lower level of detail and proposing a mesh simplification algorithm to simplify the model; reconstructing the structure of the model meshes to smooth them and solve the pseudo-occlusion problems caused by the model’s triangular structures by transforming triangular meshes into quadrilateral meshes; improving the accuracy of the obstacles’ 3D models on the roof by completing high-precision obstacle modeling and superimposing it on the simplified model. Subsequently, a parameterized sunlight analysis algorithm suited to the optimized 3D model is presented based on the Grasshopper parameterized software platform. We design a complete set of sunlight analysis algorithm programs by exploring the geographical location, time range, time step, and other parameters of the real-scene 3D model. Finally, the method’s feasibility is verified through a case study of a complex building.

中文翻译：

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用于复杂建筑屋顶的真实场景 3D 模型驱动阳光分析方法


从 UAV（无人机）勘测中衍生出的复杂建筑物的真实场景 3D 模型可以显著提高光伏板布置的阳光分析的准确性。我们提出了一种由真实场景 3D 模型驱动的复杂建筑物屋顶的阳光分析方法，其中包括生成和优化 3D 模型和参数化阳光分析算法。生成和优化方法包括：通过选择较低的细节级别来减少模型网格的数量，并提出网格简化算法来简化模型;通过将三角网格转换为四边形网格，重建模型网格的结构使其平滑，并解决模型三角形结构引起的伪咬合问题;通过完成高精度障碍物建模并将其叠加到简化模型上，提高障碍物在屋顶上 3D 模型的准确性。随后，基于 Grasshopper 参数化软件平台提出了一种适用于优化 3D 模型的参数化阳光分析算法。我们通过探索真实场景 3D 模型的地理位置、时间范围、时间步长等参数，设计了一整套阳光分析算法程序。最后，通过对复杂建筑的案例研究验证了该方法的可行性。