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  • 汤义虎,王锋,梁刚,胡军强.从CIMAC 2025大会看船舶动力数字化发展趋势[J].柴油机,2026,48(2):11-19.    [点击复制]
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从CIMAC 2025大会看船舶动力数字化发展趋势
汤义虎,王锋,梁刚,胡军强
1先进船舶发动机技术全国重点实验室, 上海 201108;2上海船用柴油机研究所, 上海 201108
摘要:基于CIMAC 2025大会发表的前沿研究,从智能感知与数字架构、数据与模型智能融合、全生命周期集成应用等3个方面进行归纳分析,评述船舶动力系统数字化转型的最新进展、关键技术挑战与未来趋势,分析轴承多参数监测、AI视觉缸套评估、数据-物理融合诊断等典型案例。随着人工智能、数字孪生等技术的深度融合,将驱动船舶动力系统从热功转换装置向具备持续优化与自主决策能力的智能信息物理系统演进,为更绿色、高效与安全的未来航运奠定基石。
关键词:  船舶动力系统  数字化转型  状态监测  数字孪生  人工智能
Development and Trends of Digitalization in Marine Power Systems: Insights from CIMAC 2025 Congress
TANG Yihu,WANG Feng,LIANG Gang,HU Junqiang
1National Key Laboratory of Marine Engine Science and Technology, Shanghai 201108, China;2Shanghai Marine Diesel Engine Research Institute, Shanghai 201108, China
Abstract:Based on the cutting-edge research presented at CIMAC 2025 Congress,the latest advancements,key technical challenges,and future trends in the digital transformation of marine power systems are summarized and analyzed from three perspectives:intelligent sensing and digital architecture,data-model intelligent integration,and full lifecycle application. Representative cases,such as multi-parameter bearing monitoring,AI-driven visual assessment of cylinder liners,and data-physics integrated diagnostics are analyzed.With the deepening integration of artificial intelligence,digital twins,and other advanced technologies,ship power systems are evolving from thermo-mechanical energy converters into intelligent cyber-physical systems capable of continuous optimization and autonomous decision-making.This transition lays a solid foundation for greener,more efficient,and safer shipping in the future.
Key words:  marine power system  digital transformation  condition monitoring  digital twin  artificial intelligence