面向移動計算平臺的氣象數據可視化系統關鍵技術
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國家氣象中心預報員專項(Y201931)資助


Research on Key Technologies of Meteorological Data Visualization Application Orienting to Mobile Computing
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    摘要:

    移動計算時代的到來伴隨著人工智能、大數據挖掘、GPU并行計算等信息技術的飛躍和Web技術規范的統一,這一發展促進了眾多面向移動計算平臺的氣象數據可視化應用的誕生和蓬勃發展。然而移動計算設備存在計算能力較弱、圖形軟件庫功能不齊全的缺陷,造成國內的氣象應用存在著可視化方法陳舊、瀏覽器兼容性和性能不理想的問題。為此,本文設計并實現了基于B/S架構、面向移動計算的氣象數據交互分析與顯示系統WeatherApp。首先研發了二三維一體化的數字地球引擎,該引擎提供了常用的地理信息系統功能,能夠在不同維度視圖之間快速切換,為全新渲染方法的引入奠定了基礎。其次,實現了包括流線和體繪制在內的高級三維可視化方法。本系統已應用于臺風預報業務中并取得較好的應用效果。通過支持所有主流桌面和手機瀏覽器,WeatherApp能夠讓用戶隨時隨地通過移動計算設備查看感興趣的資料,進而提高工作效率。

    Abstract:

    In the dawn of the mobile computing era, it has witnessed an exciting leap in information technologies such as artificial intelligence, big data mining, and GPU parallel computing, as well as the unification of Web standards. This progress facilitates the birth and development of a great number of meteorological data visualization applications targeting mobile computing platforms. However, thanks to underpowered computational capability and incomplete features of the graphics toolkit in mobile devices, most domestic Web applications lack innovative visualization methods, and have poor browser compatibility and performance. To deal with these problems, a B/S meteorological data interactive analysis and display Web application named WeatherApp has been developed. Two innovations are proposed. First, a unified two- and three-dimensional digital Earth engine is constructed. It not only provides commonly-used geographical information system features but also is capable of quick switching between views of different dimensions. Next, a number of advanced three-dimensional visualization methods, including vector field flowlines and volume rendering, are developed. The proposed application has been applied in typhoon forecast operations, and encouraging results are obtained. By supporting all mainstream Web browsers built for both desktop and mobile platforms, WeatherApp provides a convenient way for users to view data of interest anywhere and anytime, greatly enhancing users’ productivity.

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引用本文

于連慶,胡爭光,薛峰.面向移動計算平臺的氣象數據可視化系統關鍵技術[J].氣象科技,2022,50(3):438~448

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  • 收稿日期:2021-03-18
  • 定稿日期:2022-03-24
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  • 在線發布日期: 2022-06-30
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