基于云计算的船舶通信网络异常数据分析
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  • 英文篇名:Abnormal data analysis of ship communication network based on cloud computing
  • 作者:袁明兰 ; 郝位军
  • 英文作者:YUAN Ming-lan;HAO Wei-jun;Chongqing Vocational College of Applied Technology;Fundamental Teaching Section of Chongqing Resources and Environmental Protection of University;
  • 关键词:船舶通信 ; 网络技术 ; 异常数据 ; 云计算 ; 分析正确率
  • 英文关键词:ship communication;;network technology;;abnormal data;;cloud computing;;analysis accuracy
  • 中文刊名:JCKX
  • 英文刊名:Ship Science and Technology
  • 机构:重庆应用技术职业学院;重庆资源与环境保护职业学院;
  • 出版日期:2019-03-23
  • 出版单位:舰船科学技术
  • 年:2019
  • 期:v.41
  • 基金:重庆市教委科学技术研究资助项目(KJ1751484)
  • 语种:中文;
  • 页:JCKX201906068
  • 页数:3
  • CN:06
  • ISSN:11-1885/U
  • 分类号:203-205
摘要
传统船舶通信网络异常数据分析方法无法有效处理大规模的船舶通信网络异常数据,使得船舶通信网络异常数据分析的实时性差,船舶通信网络异常数据错误分析的概率高,为了解决当前船舶通信网络异常数据分析方法的局限性,针对船舶通信网络异常数据的特点,提出了基于云计算的船舶通信网络异常数据分析方法,首先分析船舶通信网络异常数据分析原理,采用支持向量机建立船舶通信网络异常数据分析模型,然后采用云计算搭建船舶通信网络异常数据分析平台,使多个支持向量机可以并行执行,最后在Matlab 2016的环境下进行了船舶通信网络异常数据分析模拟测试,测试结果显示本文方法的船舶通信网络异常数据分析不仅正确率超过了90%,而且船舶通信网络异常数据分析实时性很好,要明显优于当前其它方法,实际应用价值更高。
        Traditional abnormal data analysis methods of ship communication network can not effectively deal with large-scale abnormal data of ship communication network. The real-time analysis of abnormal data of thoughtful ship communication network is poor, and the probability of abnormal data error analysis of ship communication network is high. In order to solve the limitation of current abnormal data analysis methods of ship communication network, the abnormal data of ship communication network is analyzed. In this paper, a method of abnormal data analysis of ship communication network based on cloud computing is proposed. Firstly, the principle of abnormal data analysis of ship communication network is analyzed, and the model of abnormal data analysis of ship communication network is established by using support vector machine. Then, the platform of abnormal data analysis of ship communication network is built by cloud computing, so that multiple support vector machines can be executed in parallel. Finally, in Matlab 2016 environment, the simulation test of abnormal data analysis of ship communication network is carried out. The correct rate of abnormal data analysis of ship communication network is over 90%, and the real-time performance of abnormal data analysis of ship communication network is very good. The result of abnormal data analysis of ship communication network is obviously better than the current method,and the practical application value is higher.
引文
[1]刘易伦.舰船通信网络异常数据的弱关联定位技术[J].舰船科学技术,2018,40(16):85–87.
    [2]李君芳,吴雪毅.船舶通信网络异常数据定位技术[J].舰船科学技术,2018,40(12):148–150.
    [3]戴立坤.舰船用通信网络的异常数据监测技术研究[J].舰船科学技术,2017,39(18):127–129,182.

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