云计算平台中大规模电子航海信息全局监控系统

Design of global monitoring system for large-scale electronic navigation information in cloud computing platform

在大数据环境背景下,针对传统船舶电子信息监控系统,存在多样数据融合性计算能力差,数据多样整合处理时间长,导致出现全局监控力不足的问题。基于大数据处理技术,提出基于大数据融合的船舶动态电子信息全局监控系统设计。根据大数据融合的技术要求,创建船舶多样数据采集融合架构,通过搭建的硬件对船舶多项数据进行采集,配合引入的纵深融合算法,利用大数据融合技术对采集的多样数据进行深度融合计算,实现信息全局一体化监控。通过对比实验数据,证明设计的监控系统,在解决传统监控系统数据融合问题上,具有显著效果,满足设计需要。

Under the background of large data environment,for the traditional ship electronic information monitoring system,there are many problems,such as poor computing ability of data fusion and long processing time of data integration,which lead to the lack of global monitoring ability.Based on the technology of large data processing,a global monitoring system for ship dynamic electronic information based on large data fusion is proposed.According to the requirement of large data computing support,a platform for multi-data acquisition and fusion of ships is established.The hardware is used to collect multi-data of ships,and the deep data fusion algorithm is introduced.The large data fusion technology is used to calculate the deep data fusion of collected multi-data,so as to achieve the effect of global integrated monitoring.Finally,by comparing the experimental data,it is proved that the proposed system has significant effect in solving the problem of data fusion of traditional monitoring system and meets the design needs.