摘要
随着各海域运行船舶密度的增加,海上安全监控系统需要实时分析各船舶实时数据,进行综合处理。同时,船舶各自的AIS系统在采集及传输数据过程中,受到海洋噪声及传输信道干扰等因素影响,安全监控系统接收数据会出现失真。本文分析了基于物联网的海上安全监控系统的AIS数据挖掘算法,针对采集数据的失真设计了聚类算法,最后进行仿真。
With the increase of the density of ships running in various sea areas, the real-time monitoring data of ships must be analyzed in real time to carry out comprehensive treatment. At the same time, in the process of collecting and transmitting data, the AIS system of the ship is affected by the noise of the ocean and the interference of the transmission channel,and the receiving data of the safety monitoring system will be distorted. This paper analyzes the AIS data mining algorithm based on the sea safety monitoring system based on the Internet of things. The clustering algorithm is designed for the distortion of the collected data. Finally, the simulation is simulated.
出处
《舰船科学技术》
北大核心
2018年第9X期58-60,共3页
Ship Science and Technology
基金
国家科技型中小企业技术创新项目(10C26113201265)
关键词
物联网
数据挖掘
AIS
internet of things
data mining
AIS
