【摘要】：海洋船舶的動(dòng)力定位系統(tǒng)是海上安全航行的核心裝備之一,動(dòng)力定位系統(tǒng)需要對(duì)傳感器搜集的各種信息進(jìn)行數(shù)據(jù)融合,才能提高數(shù)據(jù)的準(zhǔn)確性及可靠性。本文研究云平臺(tái)中的分布式計(jì)算架構(gòu),并將此架構(gòu)應(yīng)用到船舶動(dòng)力定位系統(tǒng)中的數(shù)據(jù)融合中,通過(guò)對(duì)各類傳感器數(shù)據(jù)之間的耦合性分析,提出一種基于分簇遍歷的數(shù)據(jù)融合優(yōu)化方法,最后對(duì)算法進(jìn)行仿真。
[Abstract]:The dynamic positioning system of marine ships is one of the core equipments of safe navigation at sea. In order to improve the accuracy and reliability of the data, the dynamic positioning system needs to fuse all kinds of information collected by sensors in order to improve the accuracy and reliability of the data. This paper studies the distributed computing architecture in cloud platform and applies it to the data fusion of ship dynamic positioning system. A data fusion optimization method based on clustering traversal is proposed. Finally, the algorithm is simulated.
【作者單位】： 鄭州信息科技職業(yè)學(xué)院現(xiàn)教中心;河南廣播電視大學(xué)現(xiàn)教中心;河南職業(yè)技術(shù)學(xué)院信息工程系;
【分類號(hào)】：U664.82

【相似文獻(xiàn)】

相關(guān)期刊論文 前2條

1 劉雄;康鳳舉;張林芳;;艦艇編隊(duì)多聲納數(shù)據(jù)融合(英文)[J];火力與指揮控制;2007年08期

2 ;[J];;年期

，

本文編號(hào)：2425850