|本期目录/Table of Contents|

[1]解静修,吴一亮.集装箱码头桥吊作业的强化学习优化[J].集美大学学报(自然科学版),2024,29(4):329-335.
 XIE Jingxiu,WU Yiliang.Reinforcement Learning Optimization of Bridge Craner Opearations at Container Terminals[J].Journal of Jimei University,2024,29(4):329-335.
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集装箱码头桥吊作业的强化学习优化(PDF)
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《集美大学学报(自然科学版)》[ISSN:1007-7405/CN:35-1186/N]

卷:
第29卷
期数:
2024年第4期
页码:
329-335
栏目:
航海技术与物流工程
出版日期:
2024-07-28

文章信息/Info

Title:
Reinforcement Learning Optimization of Bridge Craner Opearations at Container Terminals
作者:
解静修吴一亮
集美大学海洋信息工程学院,福建 厦门 361021
Author(s):
XIE JingxiuWU Yiliang
School of Ocean Information Egineering,Jimei University,Xiamen 361021,China
关键词:
码头桥吊Unity强化学习集装箱装卸作业
Keywords:
craneUnityreinforcement learningloading and unloading operation
分类号:
-
DOI:
-
文献标志码:
A
摘要:
对码头桥吊装卸操作进行强化学习优化,通过Unity建立码头桥吊的模型及训练环境,用PPO算法对码头桥吊进行装卸操作训练,最终使桥吊学习在海浪及大风对集装箱船和吊具造成晃动影响时的平稳下落行为,提高桥吊抓取准确性并优化桥吊路径,实现更高效智能的码头装卸作业。
Abstract:
In this paper,reinforcement learning was used to optimize the loading and unloading operations of quay bridge cranes,a model and training environment was built for cranes through Unity,and PPO algorithm was used to train the loading and unloading operations of cranes,so that the cranes can learn to lower smoothly when waves and high winds affect the container ship and lifting gears.Eventually this can improve the accuracy of crane grasping and optimize the path of cranes to achieve more efficient and intelligent loading and unloading operations at terminals.

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更新日期/Last Update: 2024-09-23