Currently,single real-world modeling techniques and two-dimensional GIS techniques often cannot meet the modeling needs of complex scenes such as smart photovoltaic stations.At the same time,this large-scale and large number of devices also poses a huge challenge to the map loading engine.This paper provides a detailed analysis of how to use a three-dimensional geographic information platform based on Cesium to promote techno-logical innovation and efficiency in the management of smart photovoltaic stations.It focused on discussing the advantages of Cesium in large-scale data support and 3D scene display,and analyzed in depth the data organiza-tion methods for handling massive models,including the concepts of adaptive quad-tree and scene graph,as well as their organization and management methods.Meanwhile,algorithms based on screen space error and multi-threaded dynamic scheduling were explored to achieve efficient data loading and 3D scene rendering.The results indicate that the construction of a three-dimensional intelligent photovoltaic operation and maintenance integrated platform based on Cesium can achieve precise modeling of photovoltaic stations,significantly promote the visual-ization and intelligence of station management,and meet the business needs of smart photovoltaic stations.
关键词
智慧光伏场站管理/实时数据集成/海量三维数据组织/Cesium
Key words
smart photovoltaic station management/real-time data integration/massive 3D Data organization/Cesium
维普
万方数据