%0 Journal Article
%T 基于实船监测数据的定航线船舶智能航速优化
%A 马冉祺
%A 黄连忠
%A 魏茂苏
%A 柳霆
%A 刘伊凡
%A 王寰宇
%J 大连海事大学学报
%D 2018
%X 针对固定航线船舶，以实船监测数据为基础，建立船舶油耗模型，结合船舶航线信息进行航段划分. 通过离散化思想，建立以航速为自变量、燃油消耗量为应变量的航速优化模型，以满足船舶航期为约束条件，采用遗传算法进行优化计算.结果显示，在选取的12个航段内，建立的船舶油耗模型误差为0.9%.通过航速优化，能够节省1.9%的油耗量，并给出各航段建议转速.优化结果可为船舶操纵辅助决策提供参考.</br>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.
%K 中央高校基本科研业务费专项资金资助项目（3132016336）.
%U http://xb.dlmu.edu.cn/CN/abstract/abstract508.shtml