基于虚拟仪器的船舶监控系统研究  

Vessel Monitoring System Based on Virtual Instrument

作　　者：黄洪琼[1] 张萍[1] 杜文胜[1] 汤天浩[2] 

机构地区：[1]上海海事大学信息工程学院,上海201306 [2]上海海事大学物流工程学院,上海201306

出　　处：《中国造船》2011年第4期253-258,共6页Shipbuilding of China

基　　金：交通部应用基础研究项目(2009-329-810-030);上海市教委科研创新项目(11YZ140);上海市教委重点学科(J50602)

摘　　要：船舶监控系统的研究对船舶安全起着至关重要的作用,有助于提升船舶导航能力和海上交通管理能力。该文提出的基于虚拟仪器的船舶监控系统,应用LabVIEW图形化编程语言开发了AIS信息处理系统,能够实时采集网络最新发布的船舶信息数据,进行信息的解析和存储,同时应用Google Earth显示船舶的位置及路径信息。系统选用Kalman滤波对船舶的航迹进行跟踪优化,结合BP神经网络对船舶航迹进行预测。系统可实现AIS数据采集、解析、存储、显示、分析等多项功能。As new navigation equipment, AIS plays a crucial role in the safety of ship. Therefore, the processing and analysis of information for AIS will contribute to promoting ship navigation capability and traffic management ability. With the application of LabVIEW, an AIS information processing system, that is, a vessel monitoring system based on virtual instrument, is developed in this paper. The system can collect, resolve and store the shipping information released by the network in real time. The position and path of the ship can be showed in Google Earth. Kalman filter is applied to keep tracking the ship and optimize the track, while a BP neural network is used to predict the track of the ship in future time. Functions of the monitoring system include data collection, resolution, storage, display and analysis.

关 键 词：AIS LABVIEW KALMAN滤波 BP神经网络 航迹预测 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]