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海上油田群水域应急救援船舶路径规划方法研究

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文中提出了基于Dijkstra-ACO算法的海上油田群水域应急救援船舶路径规划方法.根据油田群水域的环境特征,运用Maklink图论算法构建救援船舶路径规划的二维空间模型,并结合Di-jkstra算法与ACO算法提出应急救援船舶的路径规划算法,以山东东营油田群水域为例进行模型验证.结果表明:基于Dijkstra-ACO的应急救援船舶路径规划方法优于传统路径规划方法.
Research on Path Planning Method of Emergency Rescue Ship in Oilfield Cluster Waters
Based on Dijkstra-ACO algorithm,a path planning method for emergency rescue ships in off-shore oil fields was proposed.According to the environmental characteristics of oil fields,a two-di-mensional spatial model of rescue ship path planning was constructed by using Maklink graph theory algorithm.Combined with Dijkstra algorithm and ACO algorithm,a path planning algorithm for e-mergency rescue ships was proposed,and then the model was verified by taking the waters of Dongy-ing Oilfield Group in Shandong Province as an example.The results show that the path planning method for emergency rescue ships based on Dijkstra-ACO is superior to the traditional path planning method.

path planningemergency recuseoilfield cluster watersMaklink graph theoryDijkstra algorithmAnt Colony Optimization(ACO)

张胤本、马全党、王前栋、刘垚楠、刘钊

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武汉理工大学航运学院 武汉 430063

内河航运技术湖北省重点实验室 武汉 430063

广州港引航站 广州 510700

路径规划 应急救援 油田群水域 Maklink图论算法 Dijkstra算法 ACO算法

湖北省自然科学基金面上项目

20221j0089

2024

武汉理工大学学报(交通科学与工程版)
武汉理工大学

武汉理工大学学报(交通科学与工程版)

CSTPCD
影响因子:0.462
ISSN:2095-3844
年,卷(期):2024.48(3)
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