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 sugges-tions are given according to the probability distribution cha