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中央气象台决策气象服务智能移动终端的设计与实现
引用本文:于连庆,胡争光,薛峰.中央气象台决策气象服务智能移动终端的设计与实现[J].山东气象,2020,40(1):117-126.
作者姓名:于连庆  胡争光  薛峰
作者单位:(国家气象中心,北京 100081)
基金项目:国家科技支撑计划项目(2015BAC03B00)
摘    要:中央气象台决策气象服务智能移动终端(简称为“决策服务App”)是在发展智慧气象的大背景下,针对桌面应用、网站等传统天气预报业务系统存在时效性、移动性不足的问题,利用最新的移动互联技术,面向决策服务领导和一线决策服务人员设计研发的手机应用程序。在研发过程中实现了基于WebGIS和OpenGL ES技术的渲染引擎、基于大数据分析技术的用户行为统计,以及高安全性等多项关键技术。在此基础上实现了包括基于精细化智能网格的城市天气预报、决策服务产品、实况监测及其统计查询,以及预警预报在内的主要功能。决策服务App在日常天气预报业务、国家重大会议与活动,以及特大灾害的气象保障服务中提升了中央气象台和各级台站的精细化分析和决策服务水平。

关 键 词:智慧气象  决策气象服务  智能移动终端  精细化智能网格
收稿时间:2019/10/29 0:00:00
修稿时间:2019/11/22 0:00:00

Design and implementation of CMO Decision-Making Service Mobile Application
YU Lianqing,HU Zhengguang,XUE Feng.Design and implementation of CMO Decision-Making Service Mobile Application[J].Journal of Shandong Meteorology,2020,40(1):117-126.
Authors:YU Lianqing  HU Zhengguang  XUE Feng
Institution:(National Meteorological Center, Beijing 100081, China)
Abstract:With the development of intelligent meteorological service, the demand for a mobile application to complement traditional weather forecast operational systems, whick are weak in timeliness and mobility, has been increasing. To address this issue, the Central Meteorological Observatory (CMO) Meteorological Decision-Making Service Mobile Application (abbreviated as Decision-Making Service App), which is implemented with the latest mobile Internet technologies and serves decision service directors and staff, has been developed. During the development process, a number of key technologies such as a rendering engine using WebGIS and OpenGL ES technology, user behavior analytics with big data, and high-level security have been innovated. Key functions including city weather forecast using refined smart grid, decision service products, realtime observations and statistical query, and early warnings have been developed. Ever since it is put into operation in daily weather forecast, assurance of national conferences and activities, and prevention and mitigation of natural disasters, Decision-Making Service App has helped to improve refined analysis and decision-making service of CMO and other meteorological observatories.
Keywords:intelligent meteorological service  decision-making meteorological service  smart mobile application  refined smart grid
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