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作 者:张侨禹 宋汉江 李良才[1] 宋振国[1] 李政享 ZHANG Qiaoyu;SONG Hanjiang;LI Liangcai;SONG Zhenguo;LI Zhengxiang(China Ship Development and Design Center,Wuhan 430064,China;Naval Research Academy,Beijing 100161,China)
机构地区:[1]中国舰船研究设计中心,湖北武汉430064 [2]海军研究院,北京100161
出 处:《中国舰船研究》2022年第S01期73-80,共8页Chinese Journal of Ship Research
基 金:国家自然科学基金资助项目(51709249)。
摘 要:[目的]为提高舰船动力设备的可靠性并降低维护成本,研究基于数字孪生的舰船动力系统智能运维技术及实现方法。[方法]首先,根据模块功能及结构体系需求,建立数字孪生特征的动力系统智能运维架构;然后,通过工况标杆库建立、控制参数智能寻优以及运行自优化,实现基于综合平稳度的智能控制技术;最后,根据基于知识、基于模型及基于大数据驱动的故障诊断方法,实现复杂系统综合故障诊断技术,形成以数字孪生为技术特征的动力系统智能运维体系。[结果]动力系统智能运维平台的应用案例验证了实现智能控制、故障诊断功能的可行性。[结论]研究成果可为舰船智能机舱的研究和设计提供参考。[Objectives] In order to improve the reliability and reduce the maintenance costs of marine power equipment, this paper study intelligent operation and maintenance techniques and implementation methods for marine power systems.[Methods]First, a marine power system intelligent operation and maintenance framework based on digital twin technology is established according to module functions and system structure. Intelligent control technology based on the aggregative stability indicator is then proposed, including the optimal operating condition database, intelligent control parameter search method and variable operation process optimization method. Finally, according to the knowledge-based, model-based and big datadriven fault diagnosis methods, the integrated fault diagnosis of complex systems is realized, and a digital twin-based intelligent operation and maintenance system for power systems is constructed. [Result]The application case of an intelligent power system operation and maintenance platform verifies the feasibility of realizing intelligent control and fault diagnosis functions. [Conclusion]The results of this study can provide valuable references for the research and design of intelligent engine rooms.
分 类 号:U664.1[交通运输工程—船舶及航道工程]
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