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作 者:马昊 贾大山[1] 朱吉双[1] MA Hao;JIA Dashan;ZHU Jishuang(China Waterborne Transport Research Institute,Beijing 100088,China)
出 处:《中国航海》2023年第2期99-105,共7页Navigation of China
摘 要:为准确测算港口的船舶服务效率,反映各个港口对船舶的服务水平,通过应用船舶和港口运营产生的海量数据,提出一种基于船舶自动识别系统(Automatic Identification System,AIS)数据的港口船舶直靠率智能测算方法。首先建立AIS数据分析系统,与船舶库数据匹配,并结合锚地、泊位地理位置信息,得到船舶进出港口的完整AIS时空轨迹;继而根据所获取的AIS信息,完整刻画出船舶进港的3种行为动态;根据3种进港动态,提出基于AIS数据的船舶直靠的评判依据,并构建船舶直靠率的测算方法。选取5个典型样本集装箱港口的船舶进出港AIS数据进行测算,结果表明:依据直靠率测算结果可横向对比各个港口的船舶服务水平,也可纵向对比同一港口对不同大小船舶的服务水平。测算结果验证了该智能测算方法的准确性和及时性,证明船舶直靠率能够真实反映港口船舶服务水平。The percentage of arriving ships to dock without waiting at anchorage(named as the rate of through docking)is picked as the criterion for measuring how well a port provides services for ships.A group of intelligent AIS processing algorithms is developed to conduct the measurement.The AIS data are examined against the ship database to find the related ship for each AIS track.The actions of a ship from arriving the port to departure from the port are completely mastered by referencing the geographic data of anchorages and berths.The movement of arriving ships is categorized as one of three types:coming to anchor and waiting for instructions,going to alongside dock without waiting,and going to the shipyard instead of a dick.The second type ships are picked up for calculation of the rate of through docking.This evaluation method is used to measure 5 typical container terminals for demonstrating the effectiveness of the method.
分 类 号:U691.75[交通运输工程—港口、海岸及近海工程]
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