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Web端海量电网资源GIS数据动态调度与渲染方法
引用本文:程伟,钱蔚,庞宇,杨文彬.Web端海量电网资源GIS数据动态调度与渲染方法[J].计算机系统应用,2018,27(2):138-143.
作者姓名:程伟  钱蔚  庞宇  杨文彬
作者单位:南瑞集团公司(国网电力科学研究院), 南京 211006,南瑞集团公司(国网电力科学研究院), 南京 211006,南瑞集团公司(国网电力科学研究院), 南京 211006,南瑞集团公司(国网电力科学研究院), 南京 211006
基金项目:南瑞集团信息通信支撑智能电网重大专项(524606160203)
摘    要:电网设备的图形展示是电力GIS应用的基础功能. 实现大数据量场景下Web端电网资源图的高性能显示已成为电力GIS系统建设需要解决的关键问题. 针对电网GIS数据及其应用特点,本文提出了一种面向Web的海量电网资源GIS数据动态调度与渲染方法. 方法通过电网资源数据显示规则、线路数据分级压缩等方法控制前端数据加载量,从而降低网络传输和前端绘制压力;根据视口范围进行数据动态调度,在客户端建立请求缓存、数据缓存以提高设备渲染效率;使用HTML5技术进行数据的多线程解析和设备符号的实时绘制. 经验证,在大数据量场景下,本方法可显著提升现有电力GIS应用在Web图形显示方面的流畅性、交互性及灵活性,大大改善用户体验.

关 键 词:电力GIS  电网资源  海量数据渲染  HTML5
收稿时间:2017/5/17 0:00:00
修稿时间:2017/6/5 0:00:00

Method of Massive Power Resource Data Loading and Rendering for Web Client
CHENG Wei,QIAN Wei,PANG Yu and YANG Wen-Bin.Method of Massive Power Resource Data Loading and Rendering for Web Client[J].Computer Systems& Applications,2018,27(2):138-143.
Authors:CHENG Wei  QIAN Wei  PANG Yu and YANG Wen-Bin
Affiliation:NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211006, China,NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211006, China,NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211006, China and NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211006, China
Abstract:Display of power grid equipment on map is the basic function of power GIS application. According to the statistics, in most of our provinces, the amount of power grid resource data has reached tens of millions or even hundreds of millions. Therefore, the high performance display of massive power grid resource data on web has become a key problem to be solved in the construction of power GIS system. Aiming at the characteristics of GIS data and application of power grid, this paper presents a dynamic loading and rendering method for GIS data of massive power grid resources for Web. This method controls the amount of loaded data by data display rules and power line data compression, thereby reducing the network transmission and drawing pressure. It loads data according to the viewport bound, establishing request cache and data cache on the client to improve the efficiency of data rendering, and uses HTML5 technology for multi-threaded data analysis device symbols rending. It is proved that this method can significantly improve the fluency, interactivity and flexibility of web client-side displaying for massive power resource GIS data, and has greatly improved the user experience.
Keywords:power GIS  power grid resource  massive vector data rendering  HTML5
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