舰船电子工程2025，Vol.45Issue(10)：1-5,5.DOI:10.3969/j.issn.1672-9730.2025.10.001
基于数字孪生与大模型的船舶运行过程监控研究
Research on Ship Operational Process Monitoring Based on Digital Twin and Large Language Model
摘要
Abstract
With the rapid advancement of intelligent technologies and artificial intelligence,the maritime industry is progress-ing toward a fully intelligent future.However,data heterogeneity arising from differences among equipment manufacturers creates in-formation silos,severely hindering comprehensive monitoring of operational processes.Traditional methods,such as data standard-ization,the Internet of Things(IoT),manual monitoring,and small-scale machine learning,have alleviated this issue to some ex-tent.Nevertheless,they are constrained by compatibility,real-time performance,and model capabilities,making them insufficient to meet the demands of fully intelligent ships.To address these challenges,this study proposes an innovative solution that combines digital twins and large models.Digital twins construct virtual replicas of maritime equipment,integrating multi-source heteroge-neous data to break down information silos.Leveraging this platform,large models enable continuous monitoring of equipment oper-ating states,anomaly detection,and provision of solutions.Research findings demonstrate that this approach possesses real-time monitoring and precise anomaly identification capabilities,offering support for optimizing ship operations and contributing to the ad-vancement of intelligent shipping.关键词
船舶监控/数字孪生/大模型/智能化船舶Key words
ship monitoring/digital twin/large language model/intelligent ship分类
交通工程引用本文复制引用
ZHANG Zihan,YIN Caiyu..基于数字孪生与大模型的船舶运行过程监控研究[J].舰船电子工程,2025,45(10):1-5,5.基金项目
华中科技大学2024年国家级大学生创新训练计划项目"基于数字孪生的船舶运行过程监测与管控系统"(编号:202410487014)资助. （编号:202410487014）
