海上油田群水域应急救援船舶路径规划方法研究  

Research on Path Planning Method of Emergency Rescue Ship in Oilfield Cluster Waters

作　　者：张胤本 马全党[1,2] 王前栋 刘垚楠 刘钊 ZHANG Yinben;MA Quandang;WANG Qiandong;LIU Yaonan;LIU Zhao(School of Navigation,Wuhan University of technology,Wuhan 430063,China;Hubei Key Laboratory of Inland Shipping Technology,Wuhan 430063,China;Guangzhou Port Pilot Station,Guangzhou 510700,China)

机构地区：[1]武汉理工大学航运学院,武汉430063 [2]内河航运技术湖北省重点实验室,武汉430063 [3]广州港引航站,广州510700

出　　处：《武汉理工大学学报（交通科学与工程版）》2024年第3期590-595,共6页Journal of Wuhan University of Technology（Transportation Science & Engineering）

基　　金：湖北省自然科学基金面上项目(2022CFB431)

摘　　要：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Dijkstra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.Based on Dijkstra-ACO algorithm,a path planning method for emergency rescue ships in offshore oil fields was proposed.According to the environmental characteristics of oil fields,a two-dimensional 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 emergency rescue ships was proposed,and then the model was verified by taking the waters of Dongying 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.

关 键 词：路径规划 应急救援 油田群水域 Maklink图论算法 DIJKSTRA算法 ACO算法 

分 类 号：U697[交通运输工程—港口、海岸及近海工程]