基于大数据平台的极区航行数据挖掘研究  

Research on polar navigation data mining based on big data platform

作　　者：赵炎平 王星晨 毕茂华 姜春宇 ZHAO Yanping;WANG Xingchen;BI Maohua;JIANG Chunyu(Polar Research Institute of China,Shanghai 200136,China;Shanghai Zhongchuan NERC-SDT Co.,Ltd,Shanghai 201100,China;Shandong Chaoyue Data Control Electronics Co.,Ltd,Jinan 250104,China)

机构地区：[1]中国极地研究中心,上海200136 [2]上海中船船舶设计技术国家工程研究中心有限公司,上海201100 [3]山东超越数控电子股份有限,山东济南250104

出　　处：《中国高新科技》2020年第10期8-10,共3页

摘　　要：极区环境的复杂性直接影响船舶航行状态,随着物联网和大数据技术的发展,实现利用复杂多变的环境因素指导船舶的航行姿态成为了可能。文章在参考以往船舶航行参数研究和大数据技术的基础上,研究并设计了适用于极区船舶航行的大数据挖掘平台,并以K-means算法为例对极区天气现状进行了聚类分析,为挖掘天气与海冰和船舶航行的关系奠定了基础。The complexity of the polar environment directly affects the ship's navigation status.With the development of the Internet of Things and big data technology,it becomes possible to use complex and changeable environmental factors to guide the ship's navigation attitude.Based on the previous research on ship navigation parameters and big data technology,this paper researches and designs a big data mining platform suitable for ship navigation in polar regions,and takes K-means algorithm as an example to conduct cluster analysis of the current weather conditions in polar regions,which lays the foundation for mining the relationship between weather and sea ice and ship navigation.

关 键 词：大数据 船舶航行 物联网 数据挖掘 

分 类 号：U698[交通运输工程—港口、海岸及近海工程]