摘要
传统避礁控制方法中,缺乏全局综合考虑,得到的控制航行轨迹与暗礁障碍物安全距离较小,设计一种应用大数据的船舶自动避礁行驶控制方法。根据船舶行驶各传感器得到的数据信息设计数据融合过程,经过不同级别处理后实现船舶的跟踪与识别,优化自动避礁行驶控制算法,重构个体间编码方式,确定控制过程中参数方程,设定目标函数以及约束函数,完善自动避礁行驶的控制依据。仿真实验结果表明,与2种传统方法相比,设计方法得到的航行轨迹与不同暗礁之间的安全距离更加合理,提升船舶行驶安全性。
Traditional reef avoidance control methods lack of global comprehensive consideration,and the safety distance between the control navigation track and reef obstacles is small.Therefore,an automatic reef avoidance driving control method based on big data is designed.According to the ship moving data from each sensor information design data fusion process,after dealing with the different levels to implement tracking and recognition of the vessel,driving control algorithm optimization automatically avoid reef,refactoring between individual encoding,determine the parameters in the process of control equations,setting the objective function and constraint function,improve the automatic control from the reef along the basis.The simulation results show that compared with the two traditional methods,the safe distance between the navigation track and different reefs obtained by the design method is more reasonable,and the safety of the ship is improved.
作者
孙晓玲
陈佳
姜桦
孙涛
SUN Xiao-ling;CHEN Jia;JIANG Ye;SUN Tao(Institute of Disaster Prevention,College of Information Engineering,Langfang 065201,China;Guilin University of technology,Department of Computer Application,Nanning Branch,Guilin 530001,China;Jiaozuo University,Network security and Information Construction Office,Jiaozuo 454000,China;Jiaozuo Technician College,Department of Electrical Engineering,Jiaozuo 454000,China)
出处
《舰船科学技术》
北大核心
2021年第24期37-39,共3页
Ship Science and Technology
基金
廊坊市科技局科学研究与发展计划项目(2020011024)
广西高校中青年教师基础能力提升项目(2018KY0240)
河南省科技厅软科学研究项目(172400410124)
河南省教育科学“十三五”规划课题(2020YB0603)
关键词
大数据
船舶避礁
行驶控制
数据融合
优化算法
big data
ship reef avoidance
driving control
data fusion
optimization algorithm
