摘要
数字孪生是真实船舶的动态虚拟再现,它利用来自传感器数据和物理模型的综合知识来模拟船舶的运行状态.提出一种基于虚拟现实系统的船舶数字孪生框架,首先开发实海域数据库和水动力数据库,以确保海洋环境和船舶运动特性与物理实体的一致性,然后基于传感器数据和物理模型构建虚拟船舶,最后在模拟器中对实海域环境和虚拟船舶进行渲染.传感器驱动的虚拟船舶可用于航行状态的实时监控,物理模型预测结果可与恶劣海况下的工况极限等知识进行集成,以提供早期预警信息.此外,展示了基于该框架的航程重现分析实例,其中控制输入与实船传感器保持一致.结果表明:基于物理模型能够提供有效的船舶运行状态预测信息.该数字孪生框架能够增强智能船舶的态势感知能力.
The digital twin is a dynamic virtual representation of a real ship,which uses comprehensive knowledge from sensor data and physical models to simulate the ship’s operating state.This paper proposes a digital twin framework based on a virtual reality system.Firstly,the real sea databases and hydrodynamic databases are developed to ensure the consistency of the marine environment and ship motion characteristics with physical entities.Then the virtual ships are generated based on both of the shipboard sensor data and physical models.Finally,the real sea environment and the virtual ships are rendered in a simulator.The sensor-driven virtual ship can be used for real-time monitoring of the navigation status,and the prediction results of the physical model can be integrated with the knowledge of operation limit under severe weather to provide early warning information.In addition,an example of voyages reproduction analysis based on the framework is shown,where the control input is consistent with the actual ship sensors.The results show that the physical model can provide effective prediction information.The proposed framework could enhance the situational awareness of intelligent ships.
作者
景乾峰
神和龙
尹勇
JING Qianfeng;SHEN Helong;YIN Yong(Key Lab.of Marine Simulation and Control,Dalian Maritime University,Dalian Liaoning 116026,China)
出处
《北京交通大学学报》
CAS
CSCD
北大核心
2020年第5期117-124,共8页
JOURNAL OF BEIJING JIAOTONG UNIVERSITY
基金
国家自然科学基金(51178026)。
