大连海事大学学报 >
2018 , Vol. 44 >Issue 1: 31 - 35
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2018.01.005
基于实船监测数据的定航线船舶智能航速优化
收稿日期: 2017-08-05
修回日期: 2017-10-15
网络出版日期: 2017-10-15
基金资助
中央高校基本科研业务费专项资金资助项目（3132016336）.
Intelligent speed optimization of fixed route ship based on real ship monitoring data
Received date: 2017-08-05
Revised date: 2017-10-15
Online published: 2017-10-15
马冉祺 , 黄连忠 , 魏茂苏 , 柳霆 , 刘伊凡 , 王寰宇 . 基于实船监测数据的定航线船舶智能航速优化[J]. 大连海事大学学报, 2018 , 44(1) : 31 -35 . DOI: 10.16411/j.cnki.issn1006-7736.2018.01.005
The fuel oil consumption model was established based on real time monitoring data for the fixed route ship, and the segment division was carried out according to the route information. Based on the idea of discretization, a speed optimization model was established with speed as independent variable and fuel consumption as dependent variable. The ship speed optimization was conducted by using genetic algorithm under the constraint condition of meeting the sailing schedule requirement. Results show that the proposed ship fuel consumption model error is 0.9% on the 12 selected voyage sections. 1.9% oil consumption can be saved by speed optimization, and the recommended revolution on each voyage section was provided. The optimization results can provide reference for ship maneuvering aid decision-making.
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