基于船舶大数据平台的物联网数据挖掘研究
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摘要
海上监测平台通过传感器网络获取大量的海洋环境数据和船舶航行数据,由于作业平台的网络不稳定,数据来源广、类型多,不便于管理,因此,设计合理的船舶数据平台管理系统有重要意义。本研究充分结合物联网技术和传感器融合技术,对船舶大数据平台的数据管理和数据挖掘进行了系统的研究,并设计了一种聚类数据挖掘算法和数据挖掘引擎。
Marine monitoring sensor network platform through access to a large number of marine environmental data and navigation data, as the operation platform of the network is not stable, data sources, types, not easy to manage, so it has important significance in ship data platform management system design. In this study, the data management and data mining of ship big data platform are systematically studied with the combination of Internet of things technology and sensor fusion technology, and a clustering data mining algorithm and data mining engine are designed.
Marine monitoring sensor network platform through access to a large number of marine environmental data and navigation data, as the operation platform of the network is not stable, data sources, types, not easy to manage, so it has important significance in ship data platform management system design. In this study, the data management and data mining of ship big data platform are systematically studied with the combination of Internet of things technology and sensor fusion technology, and a clustering data mining algorithm and data mining engine are designed.
引文
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[2]张健.基于MS聚类分析模型的数据挖掘应用研究[J].中国科技投资,2012(36):41-41.
[3]闫建红.企业智能化Web商务数据挖掘引擎算法设计与实现[J].计算机工程与设计,2007,28(4):926-928.
[4]REDNER R A,WALKER H F.Mixture densities,maximum likelihood and the EM algorithm[J].Siam Review,1984,26(2):195-239.