[1]刘海燕. 基于2.5维的智慧社区管理系统设计与实现[J].计算机技术与发展,2017,27(07):156-159.
 LIU Hai-yan. Design and Implementation of Intelligent Community Management System Based on 2.5 Dimensions[J].,2017,27(07):156-159.
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 基于2.5维的智慧社区管理系统设计与实现()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年07期
页码:
156-159
栏目:
应用开发研究
出版日期:
2017-07-10

文章信息/Info

Title:
 Design and Implementation of Intelligent Community Management System Based on 2.5 Dimensions
文章编号:
1673-629X(2017)07-0150-04
作者:
 刘海燕
 成都理工大学 工程技术学院
Author(s):
 LIU Hai-yan
关键词:
 2.5维WebGISAjaxWebService智慧社区
Keywords:
 2.5 dimensionWebGISAjaxWeb Serviceintelligent community
分类号:
TP319
文献标志码:
A
摘要:
 目前,三维地图的可视化程度高,显示效果好,但也存在着效率低下的问题.为此,采用基于侧轴投影的2.5维的地图方法来替代传统的三维地图方法,利用2.5维影像制作底图,通过矢量化,构建房屋、商家、单位等2.5维地理空间数据,将WebGIS与Web技术、Ajax与Web Service技术有机结合起来,在地图服务端采用了REST技术,页面前端采用了跨域异步技术进行数据传输和界面的交互,构建了轻量级的框架体系,提高了2.5维地图数据和业务数据的高效传输,较好地实现了基于2.5维的智慧社区管理系统平台.将空间地理信息和业务数据信息有机融合,实现了社区的智能化规划、管理、监控、精确定位及动态分析等功能.所建系统平台实验结果表明,所采用的设计与实现方法为智慧社区管理系统的开发应用提供了一种新的技术途径和参考借鉴.
Abstract:
 Currently,the three-dimensional map has high visualization and better display effect,but it is inefficient.So the 2.5 dimensional map based on lateral axis projection has been used instead of the traditional three-dimensional display,in which image is used as the base map,and the 2.5 dimensional geospatial data is completed by map vectorization to generate houses,businesses,units and so on.The lightweight frame system has been constructed by combining with WebGIS platform and Web technology,combining with Ajax and Web Service by adopting the REST technology in the map service end and the cross-domain asynchronous technology for data transmission and interface interaction in the front end of the page.The 2.5-dimensional map data and business data are high efficiently transmitted,and the 2.5-dimensional intelligent community management system platform is implemented better.The organic integration of spatial geographic information and business data information has been completed and the intelligent planning,management,monitoring,precise positioning and dynamic analysis on the community have been made.The experimental results show that the method proposed has provided a new technical approach and reference for the development and application of the intelligent community management system.

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更新日期/Last Update: 2017-08-24