海洋大数据的内涵、现状与发展趋势展望  

Marine big data:connotation,current trends and development prospects

作　　者：杨锦坤[1] 韩春花[1] 韦广昊[1] 田先德[1] 李维禄[1] YANG Jinkun;HAN Chunhua;WEI Guanghao;TIAN Xiande;LI Weilu(National Marine Data and Information Service,Tianjin 300171,China)

机构地区：[1]国家海洋信息中心,天津300171

出　　处：《海洋信息技术与应用》2023年第1期1-8,共8页JOURNAL OF MARINE INFORMATION TECHNOLOGY AND APPLICATION

基　　金：国家重点研发计划(2022YFC2806601)。

摘　　要：海洋数据是国家重要的基础性战略资源,海洋大数据融合应用发展对于实施海洋强国战略意义重大。本文从数据、技术和应用3个角度分析归纳了海洋大数据的内涵、外延和特征,提出了低质性、碎片化和隐匿性3个海洋大数据要解决的关键问题。从海洋大数据资源体系、海洋信息通信网、海洋大数据处理分析、海洋大数据存储管理和共享服务,以及海洋大数据应用研发等方面总结了海洋大数据发展能力现状和趋势,探讨了当前国家海洋大数据中心发展需求,架构海洋大数据国内外总体布局,从数据资源、关键技术、共享服务、开放创新、融合应用和国际合作等6个方面,研究提出海洋大数据重点发展方向,以期为国家、行业和地方海洋大数据发展提供参考。Marine data is an important fundamental national strategic resource,and the development of marine big data integration and application is of great significance to the implementation of the marine economic powerful nation strategy.This paper analyzes and summarizes the connotation,denotation and characteristics of marine big data from three perspectives of data,technology and application,and puts forward three key problems to be solved by marine big data:Bad Quality,Broken and Below Surface.Summarize the present situation and development trend of the marine big data from marine resources system,marine information communication network,marine big data processing analysis,marine data storage management and sharing service,marine big data applications research and development and so on.This pape discusses the current national marine big data center development demand and structures the overall layout of marine big data at home and abroad.From six aspects,including data resources,key technologies,shared services,open innovation,converged application and international cooperation,this paper puts forward the key development directions of marine big data,which is of great reference significance to the development of marine big data at the national,industrial and local levels.

关 键 词：海洋大数据 大数据应用 数据管理 数据共享 

分 类 号：P717[天文地球—海洋科学] TP274[自动化与计算机技术—检测技术与自动化装置]