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作 者:刘魁[1,2] 舒红平 何文春[3,2] 罗飞[1,2] 曹亮 Liu Kui;Shu Hong-ping;He Wen-chun;Luo Fei;Cao Liang(Chengdu University of Information Technology, Chengdu 610225;National Meteorological Information Centre,Beijing 100081;CMA-CUIT Meteorological Software Engineering Joint Research Centre, Beijing 100081)
机构地区:[1]成都信息工程大学,成都610225 [2]中国气象局-成都信息工程大学气象软件工程联合研究中心,北京100081 [3]国家气象信息中心,北京100081
出 处:《气象科技进展》2018年第1期92-96,共5页Advances in Meteorological Science and Technology
摘 要:随着智慧气象对跨领域知识深度应用的要求不断提高,气象部门软件开发面向跨行业跨部门的情形日益增多,与以往气象信息化软件不同,气象智能服务软件呈现出"大平台、精学习、微开发"的特征,未来气象信息化软件开发模式如何更好地适应气象信息化工程的智能化建设要求,已成为气象信息化建设提质增效的重要课题之一。阐述了基于行业领域知识图谱、系统架构知识、行业构件、标准化资源等领域软件资源,结合Docker等新一代大数据开发技术,提出了一种面向智能服务软件的微开发架构,并结合广东众创平台的微应用开发和实例,系统地介绍了这种面向智慧气象服务的一种智能软件开发模式。Due to the requirements of smart meteorology for the application of cross-domain knowledge are increasing,the development of meteorological department software is facing more and more cross-sectoral.Unlike previous meteorological information software,meteorological intelligence service software presents a"big-platform,micro development"feature.How to make the meteorological information software development model adapting better to the intelligent construction requirements of the meteorological information engineering?It has become one of the important topics in the meteorological information construction.This paper describes a new generation of big data development technology based on the knowledge map,system architecture knowledge,industry components and the standardized resources in industry.We propose a micro development framework for intelligent service software and systematically introduce this kind of smart weather-oriented intelligent software development model by combining with the Guangdong A Platform for micro-application development and examples.
分 类 号:P409[天文地球—大气科学及气象学]
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