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基于AIS信息的船舶进出港航速控制模型
引用本文:肖潇,邵哲平,纪贤标,陈玲玲.基于AIS信息的船舶进出港航速控制模型[J].上海海事大学学报,2014,35(4):11-14.
作者姓名:肖潇  邵哲平  纪贤标  陈玲玲
作者单位:集美大学 航海学院,集美大学 航海学院,集美大学 航海学院,集美大学 航海学院
基金项目: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.

关 键 词:自动识别系统(AIS)    数据挖掘    航速分布    集装箱船舶
收稿时间:2013/11/20 0:00:00
修稿时间:2014/4/12 0:00:00

Speed control model of ships entering and leaving ports based on AIS data
Abstract:To improve near port channel efficiency and ship safety, a speed control model of ships entering 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 technology, AIS real time data collected in port waters is stored into a database, and then the database is processed 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 Xiamen 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.
Keywords:Automatic Identification System (AIS)  data mining  speed distribution  container carrier
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