基于云计算的船舶通信网络异常数据分析

Abnormal data analysis of ship communication network based on cloud computing

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.