基于大数据的内河船舶主机功率估算方法
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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.
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.
引文
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[2]刘丹.九江地区内河船舶特征及废气排放量分析[D].大连:大连海事大学,2017.LIU D.Characteristics of inland river vessels and emission analysis in Jiujiang area [D].Dalian:Dalian Maritime University,2017.(in Chinese)
[3]孙飞虎.远洋营运船舶主机功率预测方法研究[D].大连:大连海事大学,2018.SUN F H.Research on power forecasting method for ocean-going ship host [D].Dalian:Dalian Maritime University,2018.(in Chinese)
[4]刘芳然.海区船舶废气排放评估方法研究[D].厦门:集美大学,2015.LIU F R.Research on ship emissions assessment method in sea area [D].Xiamen:Jimei University,2015.(in Chinese)
[5]KRISTENSEN H O,LUTZEN M.Prediction of resistance and propulsion power of ships[R].Denmark:Technical University of Denmark and University of Southern Denmark,2012.
[6]HOLTROP J,MENNEN G G J.A statistical power prediction method[J].International Shipbuilding Progress,1978,25(290):253-256.
[7]吴丹岭,窦尚信,张金铭.巴拿马型船舶主机功率估算[J].船舶工程,1996(4):11-13.WU D L,DOU S X,ZHANG J M.Power estimation of Panamanian ships[J].Ship Engineering,1996(4):11-13.(in Chinese)
[8]李江波.船舶主机选型与设计[D].大连:大连海事大学,2014.LI J B.Selection and design of ship mainframe [D].Dalian:Dalian Maritime University,2014.(in Chinese)
[9]管官,郑孟添,纪卓尚.大数据技术在船舶主尺度确定中的应用研究[J].应用科技,2018,45(2):1-5.GUAN G,ZHENG M T,JI Z S.Application of big data technology in the determination of ship’s main scale[J].Applied Science and Technology,2018,45(2):1-5.(in Chinese)
[10]钱承.运用MATLAB处理线性回归异常值问题方法[J].中国计量,2016(6):93-94.QIAN C.Using MATLAB to deal with the problem of linear regression outliers[J].China Metrology,2016(6):93-94.(in Chinese)
[11]张辉.基于回归分析方法的INMS项目成本估算模型研究[D].上海:上海交通大学,2012.ZHANG H.Research on cost estimation model of INMS project based on regression analysis method [D].Shanghai:Shanghai Jiaotong University,2012.(in Chinese)
[12]中山大学数学力学系《概率论及数理统计》编写小组.概率论及数理统计[M].北京:人民教育出版社,1980.Department of Mathematical Mechanics,Sun Yat-sen University,“Probability Theory and Mathematical Statistics”,edited by the group.Probability Theory and Mathematical Statistics [M].Beijing:People’Education Publishing House,1980.(in Chinese)