基于AIS信息的船舶进出港航速控制模型  

Speed control model of ships entering and leaving ports based on AIS data

作　　者：肖潇[1] 邵哲平[1] 纪贤标[1,2] 陈玲玲[1] 

机构地区：[1]集美大学航海学院,福建厦门361021 [2]厦门大学信息科学与技术学院,福建厦门361011

出　　处：《上海海事大学学报》2014年第4期11-14,共4页Journal of Shanghai Maritime University

基　　金：福建省教育厅科技计划项目(JB11103);浙江省交通厅科技项目(2012W14)

摘　　要：为提升近港航道效率及船舶安全,从船舶自动识别系统(Automatic Identification System,AIS)集合的大量的海上交通特征信息中获取能够反映船舶进出港规律的、有效的、潜在的信息,建立船舶进出港航速控制模型.根据海上交通工程理论和数据挖掘技术,将实时采集的港口水域的AIS信息存放在数据库中,再通过ETL(Extract Transform Load)进行处理.该数据库具备统计分析船舶进出港各阶段航速分布的功能.以厦门嵩屿港集装箱码头为例,构建相应的数据库,对12万吨级集装箱船舶进出港的航速进行统计,获得此类船舶在进出港过程中的航速分布规律,并根据航速的概率分布特点给出建议航速,为船舶自动进出港、引航员引导船舶及港口主管部门更好地监管通航环境提供理论依据.To improve near-port channel efficiency and ship safety, a speed control model of ships ente- ring and leaving ports is built based on the regular, efficient and potential information on ships entering and leaving ports from a great deal of marine traffic characteristic information collected by Automatic Identification System （AIS）. According to the marine traffic engineering theory and data mining technolo- gy, AIS real-time data collected in port waters is stored into a database, and then the database is pro- cessed by ETL （ Extract Transform Load）. The database is of the function of statistical analysis on every stage speed distribution of ships entering and leaving ports. A container terminal of Songyu Port in Xia- men is taken for example, and a corresponding database is built. The statistics on the speed of 120 000 t container carrier entering and leaving ports is made to obtain the speed distribution. Then, some suggestions are given according to the probability distribution characteristics of the speed. It provides a theoretical basis for ships to automatically enter and leave ports, pilots to pilot ships, and port authority departments to better supervise navigation environment.

关 键 词：自动识别系统(AIS) 数据挖掘 航速分布 集装箱船舶 

分 类 号：U697[交通运输工程—港口、海岸及近海工程]