摘要
为提高船舶电力设备管理效率,预测船舶航行过程中电力设备存在的潜在风险并及时进行报警,提醒船端工作人员进行处理,搭建了数字孪生的可视化船舶电力智能监测系统。将船舶实体通过云计算、大数据技术分析、数字化模型和通信平台等同步到虚拟数字端进行可视化呈现,调整和优化船舶电力系统虚拟模型,实现对船舶电力系统进行全方位的实时监测,降低人工检查的失误率,提高监控效率。与人工摘抄数据监测反馈系统相比,数字孪生船舶电力系统智能监测系统的实时数据管理成效提升13%,监测精确度提升12.3%,使系统安全性能、电力系统未来发展趋势和潜在问题的预测能力得到显著提升。
In order to improve the management efficiency of ship power equipment,the potential risks of power equipment in the course of ship sailing were predicted,and timely alarm was given to remind the staff at the ship end to deal with them.By building a visual ship power intelligent monitoring system based on digital twins,the ship entity was synchronized to the virtual digital end in real time through various emerging technologies such as cloud computing,big data technology analysis,digital model and communication platform for visualization,adjustment and optimization of the virtual model of the ship power system,and realization of the ship power system for all-round real-time monitoring.It showed that the error rate of manual inspection was reduced,and the monitoring efficiency was also improved;Comparing with those from the manual data extraction monitoring feedback system,the real-time data management effectiveness and monitoring accuracy of the intelligent monitoring system from the digital twin of the ship s power system were respectively increased by 13%and 12.3%,which significantly improved the performance of predicting the future development trend and potential problems of the power system.
作者
曾步辉
麻炜晨
姜箫恒
尚文嘉
陈宇
ZENG Buhui;MA Weichen;JIANG Xiaoheng;SHANG Wenjia;CHEN Yu(School of Marine Engineering,Jimei University,Xiamen 361021,China;National Marine Experimental Teaching Demonstration Center,Xiamen 361021,China)
出处
《集美大学学报(自然科学版)》
2025年第4期357-363,共7页
Journal of Jimei University:Natural Science
基金
国家大学生创新创业项目(202310390007)。
关键词
数字孪生
船舶电力
智能监测系统
数据处理与分析
digital twin
marine electric power
intelligent monitoring system
data processing and analysis
