多视图协同的实景三维时空数据可视化平台设计  

Design of 3D Spatiotemporal Data Visualization Platform Based on Multi View Collaboration

作　　者：郭素蓉 GUO Surong(Aanhui Zhong-Ao Institute of Technology,Hefei,Anhui 230041)

机构地区：[1]安徽中澳科技职业学院,安徽合肥230041

出　　处：《武夷学院学报》2025年第3期48-52,共5页Journal of Wuyi University

基　　金：2022年安徽省科研编制计划项目(2022AH053126)。

摘　　要：为增强数据展示的可视化程度,设计基于多视图协同的实景三维时空数据可视化平台。部署三台服务器,设计可视化平台硬件部分;通过数据服务器采集实景数据源,采用数据仓库技术(extract transform load,ETL)工具,对数据备份处理;利用力导布局算法,整合数据,并将其作为三维场景搭建的基础数据,基于图数协同和图图协同两种视图协调交互模式,更新实景视图,形成批量加载的三维模型;利用ArcGIS接口,形成实景数据三维场景,采用K-means算法,对场景中的数据转换为坐标,形成实景三维时空数据的可视化平台。实验结果表明,设计实景三维时空数据可视化平台延时性较低,具有较好的应用性。In order to enhance the visualization degree of data presentation,a real-time 3D spatiotemporal data visualization platform based on multi-view collaboration was designed.Deploy three servers and design the hardware part of the visual platform;Data server is used to collect real data sources,ETL tool is used to back up data,and force guide layout algorithm is used to integrate data and take it as the basic data of 3D scene construction.Based on the two view interaction modes of graph collaboration and graph collaboration,the real view is updated to form a batch loading 3D model.ArcGIS interface is used.Form a three-dimensional scene of real data,and adopt K-means algorithm to convert the data in the scene into coordinates to form a visualization platform of real three-dimensional spatio-temporal data.The experimental results show that the design of 3D spatio-temporal data visualization platform has low delay and good applicability.

关 键 词：多视图协同 实景三维时空 数据可视化平台 Scrapy框架 图数协同 矢量数据解析 

分 类 号：P208[天文地球—地图制图学与地理信息工程]