Three-dimensional cloud scene modeling and visualization method based on foundation cloud picture

Abstract

The invention provides a three-dimensional cloud scene modeling and visualization method based on a foundation cloud picture, and the method comprises the steps: extracting a cumulus cloud image region from a two-dimensional foundation cloud picture through a CPU, and calculating the cloud base height and the cloud cluster thickness as the parameters of three-dimensional cumulus cloud modeling. The position information of all voxel center points forming the cumulus cloud model is determined according to the two parameters, the position information serves as a vertex array to be transmitted into the GPU, all cumulus cloud voxels are drawn according to the vertex array in the geometric shader stage of the GPU, finally, the GPU enters the fragment shader stage, the density value of the cloud is determined according to the distance between each voxel and the cloud cluster center point, and the density value of the cloud is calculated. And calculating the color of the voxel according to the density value so as to realize three-dimensional cloud scene modeling and visualization integration. According to the method, the voxels serve as the minimum geometric units, the three-dimensional cumulus cloud model is constructed based on the GPU, visualization is achieved in the three-dimensional scene, the three-dimensional cumulus cloud modeling efficiency is improved, and meanwhile the requirement for smooth roaming in the three-dimensional geographic scene is met.

Description

technical field [0001] The invention relates to the technical fields of three-dimensional modeling and three-dimensional geographic information visualization, in particular to a method for building a three-dimensional cumulus model based on ground-based cloud image data and realizing cumulus visualization based on a three-dimensional geographic scene. Background technique [0002] Solar photovoltaic power generation is a clean energy production activity that converts sunlight energy into electrical energy, and clouds are the most important factor causing large fluctuations in solar radiation (Wang Chengliang, Zhu Lingzhi, Dang Dongsheng, Zhao Liang, Ding Huang. The output characteristics of photovoltaic power plants and the influence of system frequency regulation [J]. Renewable Energy, 2017, 35(11): 1626-1631). Especially in a clear sky environment, the emergence of clouds leads to an instantaneous reduction of solar radiation reaching the surface, which causes fluctuations...

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Problems solved by technology

[0004] For 3D cloud modeling and visual expression, the commonly used methods proposed in related literature mainly focus on simulating the appearance of clouds, such as the cloud modeling method based on cellular automata (Xu Jiangbin, Zhao Jian, Yang Chao, Wu Lingda. Rapid Realistic Cloud Modeling [J]. Small Microcomputer System, 2010,31(08):1590-1594.), Volume Cloud Rendering Method Based on Noise Texture (Tang Yong, Liu Zhixuan, Guo Huiling, Zhao Jing, Zhang Xiaobi. Multi-Noise Volume Cloud Research on real-time simulation [J]. Small Microcomputer System, 2019, 40(11): 2461-2465.), although the above algorithm significantly improves the fidelity of 3D scenes by rendering clouds, it can only achieve random positions in 3D space Cloud shapes of different sizes and sizes, lack of real cloud map data and 3D geographic scenes, cannot realize user-specified clouds, and cannot reproduce real cloudscapes

Three-dimensional cloud visualization in geographic space can be realized based on remote sensing images (Zhang Z, Liang X, Yuan C, et al.Modeling Cumulus Cloud Scenes from High-resolution Satellite Images[J].Computer Graphics Forum,2017,36(7):229 -238.), but the spatial-temporal resolution of remote sensing images is low, which cannot meet the actual needs of quasi-real-time monitoring of clouds in photovoltaic power generation application scenarios

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