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基于大数据的内河船舶主机功率估算方法 被引量:4

Main engine power estimation method for the inland ship based on big data
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摘要 针对目前船舶排放计算中船舶主机功率的估算问题,基于AIS数据库和长江船舶登记数据库的相关信息,采用数据拟合方法,得到不同船型的主机功率对于船舶主尺度的最优函数;建立船舶的主机功率估算模型,并对模型进行计算验证.实验结果表明,用该方法建立的船舶主机功率估算模型的估算值与实际值之间的误差率在±10%以内,具有较高的可靠性. In view of the estimation problem of the main engine power in current ship emission calculation,the optimal function of main engine power of different ship types for ship main dimensions was obtained by using data fitting method based on the relevant information of AIS database and Yangtze River ship registration database,and the estimation model of marine main engine was established and verified.The experimental results show that the error between the estimated value and the actual value of the ship main engine power estimation model established by the proposed method is within±10%,which has high reliability.
作者 周春辉 黄弘逊 周玲 隋忠义 文元桥 肖长诗 ZHOU Chun-hui;HUANG Hong-xun;ZHOU Ling;SUI Zhong-yi;WEN Yuan-qiao;XIAO Chang-shi(School of Navigation,Wuhan University of Technology,Wuhan 430063,China;Hubei Inland Shipping Technology Key Laboratory,Wuhan University of Technology,Wuhan 430063,China;National Engineering Research Center for Water Transport Safety,Wuhan University of Technology,Wuhan 430063,China;Intelligent Transportation Systems Research Center,Wuhan University of Technology,Wuhan 430063,China)
出处 《大连海事大学学报》 CAS CSCD 北大核心 2019年第2期44-49,共6页 Journal of Dalian Maritime University
基金 国家重点研发计划项目(2018YFC1407405 2018YFC0213900) 中央高校基本科研业务费专项资金资助(2018III036GX) 武汉理工大学研究生优秀学位论文培育项目资助(2018-YS-69)
关键词 内河船舶 主机功率 估算方法 回归分析 大数据 inland ship main engine power estimation method regression analysis big data
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