【摘要】：海洋信息化建設(shè)為我國從海洋大國到海洋強國轉(zhuǎn)型奠定堅實基礎(chǔ)。隨著海洋數(shù)據(jù)采集技術(shù)的不斷進步,采集手段多樣化,數(shù)據(jù)呈現(xiàn)出異構(gòu)性、復(fù)雜性等特點,數(shù)據(jù)量急劇增加。如何實現(xiàn)對海洋大數(shù)據(jù)的高效管理成為海洋信息化建設(shè)過程中的研究重點。云計算技術(shù)具有強大的存儲和計算能力,為海洋大數(shù)據(jù)管理提供了一種新的解決思路。本文調(diào)研主要的海洋數(shù)據(jù)源,研究貝葉斯粗糙集原理,在此基礎(chǔ)上提出多源海洋云數(shù)據(jù)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.
【作者單位】： 內(nèi)蒙古交通職業(yè)技術(shù)學(xué)院;
【分類號】：P71;TP274.2

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