[1]郑虹晖,王立俊,赵 冰,等.海南省气象业务内网设计与实现[J].计算机技术与发展,2022,32(06):203-208.[doi:10. 3969 / j. issn. 1673-629X. 2022. 06. 034]
　ZHENG Hong-hui,WANG Li-jun*,ZHAO Bing,et al.Design and Implementation of Meteorological Business Intranet in Hainan[J].,2022,32(06):203-208.[doi:10. 3969 / j. issn. 1673-629X. 2022. 06. 034]
点击复制

海南省气象业务内网设计与实现()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
32
期数:
2022年06期
页码:
203-208
栏目:
应用前沿与综合
出版日期:
2022-06-10

文章信息/Info

Title:
Design and Implementation of Meteorological Business Intranet in Hainan
文章编号:
1673-629X(2022)06-0203-06
作者:
郑虹晖; 王立俊; 赵 冰; 王双双; 刘骥超
1. 海南省气象信息中心,海南 海口 570203;
2. 海南省南海气象防灾减灾重点实验室,海南 海口 570203
Author(s):
ZHENG Hong-hui1; 2 ; WANG Li-jun1; 2* ; ZHAO Bing1 ; WANG Shuang-shuang1 ; LIU Ji-chao1
1. Meteorological Information Center of Hainan Province,Haikou 570203,China;
2. Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province,Haikou 570203,China
关键词:
业务内网; 气象数据; 数据共享; 数据集约化; 数据可视化
Keywords:
business intranet; meteorological data; data sharing; data intensification; data visualization
分类号:
TP311. 1
DOI:
10. 3969 / j. issn. 1673-629X. 2022. 06. 034
摘要:
随着海南省气象业务的快速发展,建设海南气象业务内网,形成海南气象系统内部统一的省级气象服务平台,是海南省气象现代化建设的重要任务之一。 基于现有已建、在建的业务系统,结合全国综合气象信息共享平台 CIMISS(China Integrated Meteorological Information Service System) 的基础气象数据,整合相关业务单位的数据资源,建立业务集约化环境,分析海南省气象数据及业务产品的数据特性,设计统一的数据收集、处理及存储方式,采用 MVC( Model+View +Controller) 开发模式,使用 J2EE 应用架构 SSH( Struts+Spring+Hibernate) 研发一个集观测数据实时监测、预报预警信息综合显示和历史数据检索等功能于一体的共享平台,实现省级气象数据和业务产品的集约共享服务。 目前,平台已投入业务试运行,运行稳定,能够对海南省气象监测、预报和预警等业务起到一定支撑作用。
Abstract:
With the rapid development of Hainan provincial meteorological services, construction of Hainan meteorological businessintranet and the formation of a unified provincial-level meteorological service platform within the Hainan Meteorological System is one ofthe important tasks of Hainan爷 s meteorological modernization. Based on the existing and ongoing service systems,combined with thebasic meteorological data of the China Integrated Meteorological Information Service System ( CIMISS) ,integrated the data resources ofrelevant business units, an intensive business environment is established, the data characteristics of Hainan meteorological data andbusiness products are analyzed, and the unified data collection, processing and storage methods are designed. A shared platform isdeveloped by MVC development mode and SSH application architecture of J2EE that integrates real-time monitoring of observation data,comprehensive display of forecast and early warning information and historical data retrieval to realize intensive sharing service ofprovincial meteorological data and operational products. At present,the platform has been put into trial operation,which is stable and canplay a certain supporting role in meteorological monitoring,forecast and early warning of Hainan Province.

相似文献/References:

[1]王立俊,江益,程洪涛,等. 南海区域站实时气象数据质控系统研究[J].计算机技术与发展,2017,27(08):177.
　WANG Li-jun,JIANG Yi,CHENG Hong-tao,et al. Study on Quality Control System of Real Time Meteorological Data from Regional Stations on South China Sea[J].,2017,27(06):177.
[2]李新庆,陈海波,杨有林,等.宁夏综合气象信息共享与管理系统设计研究[J].计算机技术与发展,2019,29(05):135.[doi:10. 3969 / j. issn. 1673-629X. 2019. 05. 029]
　LI Xin-qing,CHEN Hai-bo,YANG You-lin,et al.Design and Research of Ningxia Integrated Meteorological Information Sharing and Management System[J].,2019,29(06):135.[doi:10. 3969 / j. issn. 1673-629X. 2019. 05. 029]
[3]刘骥超,叶 钒,谢寒生.云计算环境下气象大数据的应用研究[J].计算机技术与发展,2019,29(05):168.[doi:10. 3969 / j. issn. 1673-629X. 2019. 05. 035]
　LIU Ji-chao,YE Fan,XIE Han-sheng.Research on Application of Large Meteorological Data in Cloud Computing Environment[J].,2019,29(06):168.[doi:10. 3969 / j. issn. 1673-629X. 2019. 05. 035]
[4]邱忠洋,雷正翠,蒋 骏.基于 C/B/S 参与感知气象服务系统的研究与设计[J].计算机技术与发展,2021,31(02):202.[doi:10. 3969 / j. issn. 1673-629X. 2021. 02. 037]
　QIU Zhong-yang,LEI Zheng-cui,JIANG Jun.Research and Design of Participatory Sensing Devices in Meteorological Service System Based on C/B/S Model[J].,2021,31(06):202.[doi:10. 3969 / j. issn. 1673-629X. 2021. 02. 037]
[5]贺俊彦,刘 然,陈永涛,等.基于元数据管理的气象数据广播精细化监控[J].计算机技术与发展,2023,33(01):88.[doi:10. 3969 / j. issn. 1673-629X. 2023. 01. 014]
　HE Jun-yan,LIU Ran,CHEN Yong-tao,et al.Refinement Monitoring System of Meteorological Data Broadcast Based on Metadata Management[J].,2023,33(06):88.[doi:10. 3969 / j. issn. 1673-629X. 2023. 01. 014]
[6]冯 冼,方 昆,文立恒,等.气象数据分区处理算法与策略研究[J].计算机技术与发展,2023,33(08):214.[doi:10. 3969 / j. issn. 1673-629X. 2023. 08. 031]
　FENG Xian,FANG Kun,WEN Li-heng,et al.Research on Algorithm and Strategy of Meteorological Data Partition Processing[J].,2023,33(06):214.[doi:10. 3969 / j. issn. 1673-629X. 2023. 08. 031]

更新日期/Last Update: 2022-06-10