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海洋大数据应用技术分析与趋势研究
引用本文:刘帅,陈戈,刘颖洁,田丰林.海洋大数据应用技术分析与趋势研究[J].中国海洋大学学报(自然科学版),2020(1):154-164.
作者姓名:刘帅  陈戈  刘颖洁  田丰林
作者单位:中国海洋大学信息科学与工程学院;青岛海洋科学与技术国家实验室区域海洋动力学与数值模拟功能实验室
基金项目:国家自然科学基金国际合作与交流项目(61361136001);国家海洋环境安全保障重点专项(2016YFC1401008);青岛海洋科学与技术国家实验室“鳌山人才”计划卓越科学家项目(2015ASTP-OS15)资助~~
摘    要:随着各类探测设备及计算模拟的发展,科学研究进入第四范式"数据密集型发现",海洋领域亦已进入大数据时代,各类海洋大数据应用技术也成为海洋科学研究的关注焦点。本文从海洋大数据的产生到海洋大数据应用整个链条进行探讨。首先对海洋大数据的定义及特征进行了讨论;其次从技术方面,从多源感知与探测、存储与管理、分析挖掘、可视化角度对海洋大数据应用技术研究的基础和研究现状进行分析,最后从实践方面,对相关技术研究的应用现状及应用前景进行了说明,为海洋科学及技术研究发展提供重要参考依据。

关 键 词:海洋大数据  多源感知及探测  存储管理  分析挖掘  可视化  海洋大数据应用

Research and Analysis on Marine Big Data Applied Technology
LIU Shuai,CHEN Ge,LIU Ying-Jie,TIAN Feng-Lin.Research and Analysis on Marine Big Data Applied Technology[J].Periodical of Ocean University of China,2020(1):154-164.
Authors:LIU Shuai  CHEN Ge  LIU Ying-Jie  TIAN Feng-Lin
Institution:(Qingdao Collaborative Innovation Center of Marine Science and Technology,College of Information Science and Engineering,Ocean University of China,Qingdao 266100,China;Laboratory for Regional Oceanography and Numerical Modeling,Qingdao National Laboratory for Marine Science and Technology,Qingdao 266100,China)
Abstract:With the rapid development of all kinds of detection equipment and computing simulation, scientific research is coming into the "data-intensive paradigm". Marine data are also undergoing an explosive growth and the proliferation of data gives rise to the increasing complexity of marine data, like the diversity and higher dimensionality characteristic. Marine big data applied technology has drawn huge attention from researchers, academic research institutes, and governments. This paper discusses the whole chain of marine big data from generation to application. Firstly, we discuss the definition and characteristics of marine big data. Secondly, from the aspects of applied technologies, this paper analyzes related marine applied technology studies of multi-source perception and detection, storage and management, association mining, and visual analysis. Finally, from the perspective of application, relevant application status and prospect are discussed. This paper can provide important reference and basis for marine science and technology research.
Keywords:marine big data  multi-source sensing and detection  storage management  data mining  visualization  marine data application
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