首页|基于Cesium的三维智慧光伏运维一体化平台建设

基于Cesium的三维智慧光伏运维一体化平台建设

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目前单一的实景建模技术和二维GIS技术往往无法满足智慧光伏场站这种复杂场景的建模需要,同时这种大范围、设备数量庞大的场景对地图加载引擎也是巨大的考验.详尽地分析了如何运用基于Cesium的三维地理信息平台来推动智慧光伏场站管理的科技创新与效率.重点讨论了 Cesium在大规模数据支持与三维场景展示方面的优势,深入分析了处理海量模型的数据组织方法,包括自适应四叉树与场景图概念及其组织管理方式.同时,探索了基于屏幕空间误差和多线程动态调度的算法以实现高效率的数据载入和三维场景绘制.结果表明:基于Cesium的三维智慧光伏运维一体化平台的建设能够实现光伏场站的精细化建模,对于场站的可视化和智能化管理有明显促进作用,能够满足智慧光伏场站的业务需求.
Construction of a Three-dimensional Intelligent Photovoltaic Operation and Maintenance Integrated Platform Based on Cesium
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.

smart photovoltaic station managementreal-time data integrationmassive 3D Data organizationCesium

姚远、张健、程正逢、徐辉、易祎

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中国电力工程顾问集团中南电力设计院有限公司,湖北武汉 430071

智慧光伏场站管理 实时数据集成 海量三维数据组织 Cesium

中电工程重大科技专项

DG3-L01-2022

2024

绿色科技
花木盆景杂志社

绿色科技

影响因子:0.365
ISSN:1674-9944
年,卷(期):2024.26(2)
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