[1]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):135-141.[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(05):135-141.[doi:10. 3969 / j. issn. 1673-629X. 2019. 05. 029]
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宁夏综合气象信息共享与管理系统设计研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年05期
页码:
135-141
栏目:
应用开发研究
出版日期:
2019-05-10

文章信息/Info

Title:
Design and Research of Ningxia Integrated Meteorological Information Sharing and Management System
文章编号:
1673-629X(2019)05-0135-07
作者:
李新庆1; 2; 陈海波1; 2; 杨有林1; 卫建国1; 马 宁1; 陈增境1
1. 中国气象局 旱区特色农业气象灾害监测预警与风险管理重点实验室,宁夏 银川 750002;2. 宁夏气象防灾减灾重点实验室,宁夏 银川 750002
Author(s):
LI Xin-qing1; 2; CHEN Hai-bo1; 2; YANG You-lin1; WEI Jian-guo1; MA Ning1; CHEN Zeng-jing1
1. Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions,CMA,Yinchuan 750002,China;2. Ningxia Key Lab of Meteorological Disaster Prevention and Reduction,Yinchuan 750002,China
关键词:
气象数据; 信息共享; CIMISS; Hadoop; 个性化推荐; 智能搜索
Keywords:
meteorological data; information sharing; CIMISS; Hadoop; personalized recommendation; intelligent search
分类号:
P49;P409
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 05. 029
摘要:
气象数据具有多源、异构、海量、高时效等特点,如何便捷高效地提供共享管理是一个长期困扰业务和管理人员的难题。 宁夏综合气象信息共享与管理系统着力解决气象数据集约化、标准化、智能化的收集、存储、共享和可视化展示等问题,为提升气象数据共享和信息管理服务水平提供了很好的实践示范。 文中首先描述该系统的总体架构,阐明了系统各项功能模块的设计思路;其次,基于 CIMISS 和 Hadoop HDFS 构建的省(区)级数据存储环境,提出了基础数据库、业务产品库和服务产品库的逻辑划分,解决了 CIMISS 对非结构化数据存储效率不足的问题;再次,描述了系统所涉及的个性化推荐、智能搜索、数据可视化等核心应用技术,为数据共享管理提供了更多“智慧元素冶;最后,给出了系统的性能测试结果和应用效果,表明该系统能够为宁夏气象业务用户提供高效便捷的数据共享和信息管理服务,具有一定的示范推广价值。
Abstract:
Meteorological data is heterogeneous and massive with multi-source and high timeliness. How to provide sharing management conveniently and efficiently is a difficulty that has been troubling business and managers for a long time. Therefore,Ningxia integrated meteorological information sharing and management system focuses on solving the problems of meteorological data collection,storage, sharing and visual display,which are intensive,standardized and intelligent. It provides great practice demonstration for improving meteorological data sharing and information management service level. Firstly,we expound the overall structure of system and explain the design ideas of various functional modules. Secondly,based on the provincial ( autonomous region) data storage environment built by CIMISS and Hadoop HDFS,we propose the logical division of basic database,business product database and service product database, which solves the problem of CIMISS’s low efficiency in unstructured data storage. Thirdly,we describe the core application technologies including personalized recommendation,intelligent search and data visualization in the system,providing more “intelligent elements” for data sharing management. Lastly,the system performance testing and application effect are briefly described,which shows that the system can provide data sharing and information management services for the whole region meteorological service users,with a certain value of demonstration and promotion.

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更新日期/Last Update: 2019-05-10