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长征数据三维可视化分析平台设计与实现

Design and Implementation of 3D Visualization Analysis Platform for Long March Data
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摘要 为用好长征教育资源,引导群众在实践中培育爱国情怀,以长征革命历史为背景,结合大数据三维可视化技术,推出“长征数据三维可视化分析平台”,以大数据三维可视化、云计算赋能长征精神学习,多维度立体展现长征这段历史,激发爱国热情,传承爱国基因。该项目采用Spring Boot框架,整合MyBatis及Thymeleaf模板引擎构建系统架构,使用Maven项目管理工具,通过爬虫技术完成数据采集,依据牛顿冷却定律,提出了“访问量+时间衰减”文章热度值算法,前端展示使用HTML+CSS+JS及ECharts、Highcharts图表以及JS代码库JQuery,实现了三维长征路线、实景展示(VR)、祭扫景点等功能。 In order to make good use of the educational resources of the Long March and guide the masses to cultivate patriotism in practice,the"Long March Data 3D Visualization Analysis Platform"was launched against the background of the Long March revolution history and in combination with big data 3D visualization technology,enabling the Long March to learn spiritually with big data 3D visualization and cloud computing,showing the history of the Long March in a multi-dimensional and three-dimensional way,stimulating patriotic enthusiasm and inheriting patriotic genes.The project uses the Spring Boot framework,integrates MyBatis and Thymeleaf template engines to build a system architecture,uses Maven project management tools to complete data collection through crawler technology,and proposes a popularity algorithm for"Traffic+Time Decay"articles according to newton's cooling law.The front display uses HTML+CSS+JS and ECharts,Highcharts charts,and JS code base JQuery to realize the 3D Long March route,real scene display(VR)functions such as visiting scenic spots.
作者 王蒙 郭建磊 董蕾 WANG Meng;GUO Jianlei;DONG Lei(Shandong College of Electronic Technology,Ji'nan Shandong 250200)
出处 《软件》 2023年第7期131-133,156,共4页 Software
关键词 教育资源 三维可视化 数据采集 热度值算法 长征路线 educational resources 3D visualization data acquisition calorific value algorithm long march route
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