面向云计算的多源海洋数据集成与应用研究
发布时间:2018-07-29 16:42
【摘要】:海洋信息化建设为我国从海洋大国到海洋强国转型奠定坚实基础。随着海洋数据采集技术的不断进步,采集手段多样化,数据呈现出异构性、复杂性等特点,数据量急剧增加。如何实现对海洋大数据的高效管理成为海洋信息化建设过程中的研究重点。云计算技术具有强大的存储和计算能力,为海洋大数据管理提供了一种新的解决思路。本文调研主要的海洋数据源,研究贝叶斯粗糙集原理,在此基础上提出多源海洋云数据深度集成模型。
[Abstract]:The construction of ocean informatization lays a solid foundation for the transition from a large sea country to a sea power. With the continuous progress of marine data acquisition technology, the collection means are diversified, the data presents the characteristics of heterogeneity and complexity, and the amount of data increases rapidly. How to realize the efficient management of marine big data has become the research focus in the process of ocean information construction. Cloud computing technology has powerful storage and computing capabilities, which provides a new solution for ocean big data management. This paper investigates the main ocean data sources, studies the Bayesian rough set principle, and puts forward a multi-source ocean cloud data depth integration model.
【作者单位】: 内蒙古交通职业技术学院;
【分类号】:P71;TP274.2
本文编号:2153329
[Abstract]:The construction of ocean informatization lays a solid foundation for the transition from a large sea country to a sea power. With the continuous progress of marine data acquisition technology, the collection means are diversified, the data presents the characteristics of heterogeneity and complexity, and the amount of data increases rapidly. How to realize the efficient management of marine big data has become the research focus in the process of ocean information construction. Cloud computing technology has powerful storage and computing capabilities, which provides a new solution for ocean big data management. This paper investigates the main ocean data sources, studies the Bayesian rough set principle, and puts forward a multi-source ocean cloud data depth integration model.
【作者单位】: 内蒙古交通职业技术学院;
【分类号】:P71;TP274.2
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