摘要
为了更好地保障船舶通信效果,避免通信过程中数据传输不完整的问题,提出物联网环境下船舶通信系统重复不完整数据自动挖掘方法,结合特征采集原理进行冗余数据的去除,通过对海量通信数据进行去噪、清洗、集成和转化处理,实现对不完整数据的有效采集和简化处理,从而在动态不完整数据跟踪的基础上,实现对复杂不完整数据的有效采集,构建挖掘模型,准确对不完整充分数据进行有效展示,保证数据通信效果。最后通过实验证实,物联网环境下船舶通信系统重复不完整数据自动挖掘方法具有更高的实用性,充分满足研究要求。
In order to better guarantee the communication effect of ships and avoid the incomplete data transmission in the communication process,this paper proposes an automatic mining method of repetitive incomplete data in the marine communication system under the Internet of things environment.It combines the feature acquisition principle to remove redundant data,and then carries out noise removal,cleaning,integration and transformation processing of the sea volume communication data,The effective acquisition and simplification of incomplete data are realized.On the basis of dynamic incomplete data tracking,the effective acquisition of complex incomplete data is realized,and the mining model is constructed to display the incomplete and sufficient data effectively,so as to ensure the effect of data communication.Finally,the experiment proves that the automatic mining method of repetitive incomplete data in the ship communication system under the Internet of things environment has better accuracy and fully meets the research requirements.
作者
翟文学
ZHAI Wen-xue(Zibo Vocational Institute,Zibo 255000,China)
出处
《舰船科学技术》
北大核心
2021年第14期127-129,共3页
Ship Science and Technology
关键词
物联网
船舶通信
数据挖掘
internet of things
ship communication
data mining
