为了优化船舶航线，降低船舶航行过程中的能源消耗，研究海洋风场对船舶航线的影响。首先获取海洋风场的经向、纬向与风速数据，以二进制数据形式存储所采集数据，然后考虑海洋风场中风力资源对船舶航线的影响，调整船舶航路点，改变船舶航向与航程，以航主机能耗最小与航行时间不大于船期为目标构建优化模型，利用模拟退火算法对船舶航线进行动态规划。结果表明，本文方法可有效显示海洋风场数据，降低船舶航行过程中的航程、航时、整体能耗等，实现节能减排目的。
In order to optimize the ship route and reduce the energy consumption during ship navigation, the influence of ocean wind field on the ship route is studied. Firstly, the longitude, latitude and wind speed data of the marine wind farm are obtained, and the collected data are stored in the form of binary data. Then, considering the impact of wind resources in the marine wind farm on the ship route, the ship waypoint is adjusted, and the ship course and range are changed. The optimization model is built with the objective of minimizing the energy consumption of the aircraft engine and the sailing time is not greater than the ship schedule. The simulated annealing algorithm is used to dynamically plan the ship route. The results show that this method can effectively display the ocean wind field data, reduce the range, duration and overall energy consumption of the ship during navigation, and achieve the purpose of energy conservation and emission reduction.
2022,44(13): 64-67 收稿日期：2022-01-20
DOI：10.3404/j.issn.1672-7649.2022.13.015
分类号：U675.5
基金项目：江苏海事职业技术学院重点课题资助（ZDKT2020-003）；江苏高校“青蓝工程”资助
作者简介：郭亚娜(1978-),女,硕士,副教授,主要从事航海气象研究
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