云平台在船舶数据融合中的技术方案
发布时间：2019-02-18 12:47
【摘要】：海洋船舶的动力定位系统是海上安全航行的核心装备之一,动力定位系统需要对传感器搜集的各种信息进行数据融合,才能提高数据的准确性及可靠性。本文研究云平台中的分布式计算架构,并将此架构应用到船舶动力定位系统中的数据融合中,通过对各类传感器数据之间的耦合性分析,提出一种基于分簇遍历的数据融合优化方法,最后对算法进行仿真。
[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.
【作者单位】： 郑州信息科技职业学院现教中心;河南广播电视大学现教中心;河南职业技术学院信息工程系;
【分类号】：U664.82
本文编号：2425850
[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.
【作者单位】： 郑州信息科技职业学院现教中心;河南广播电视大学现教中心;河南职业技术学院信息工程系;
【分类号】：U664.82
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