曾国庆, 马国程, 张磊, 等. 基于多领域建模的船舶凝给水系统虚实映射方法[J]. 中国舰船研究, 2022, 18(增刊 1): 1–12. doi: 10.19693/j.issn.1673-3185.02975
引用本文: 曾国庆, 马国程, 张磊, 等. 基于多领域建模的船舶凝给水系统虚实映射方法[J]. 中国舰船研究, 2022, 18(增刊 1): 1–12. doi: 10.19693/j.issn.1673-3185.02975
shu
ZENG G Q, MA G C, ZHANG L, et al. Virtual real mapping method of marine condensate feed water system based on multi-domain modeling[J]. Chinese Journal of Ship Research, 2022, 18(Supp 1): 1–12. doi: 10.19693/j.issn.1673-3185.02975
Citation: ZENG G Q, MA G C, ZHANG L, et al. Virtual real mapping method of marine condensate feed water system based on multi-domain modeling[J]. Chinese Journal of Ship Research, 2022, 18(Supp 1): 1–12. doi: 10.19693/j.issn.1673-3185.02975
shu

基于多领域建模的船舶凝给水系统虚实映射方法

Virtual real mapping method of marine condensate feed water system based on multi-domain modeling

    摘要
  • 摘要:
      目的  传统的建模分析方法难以对船舶凝给水系统进行有效的在线监测和状态评估，因此，有必要针对船舶凝给水系统全寿期开展精准有效的虚实映射方法研究。
      方法  在多领域建模的基础上，将机理模型与多源数据相结合，运用多领域物理建模语言Modelica与MWorks系统仿真平台构建凝给水系统的数字孪生模型，融合在线及离线数据、数值计算、仿真分析等方法，评估船舶凝给水系统运行状态特性。
      结果  所建立的模型可对凝给水系统进行全工况的动态特性分析，静态分析误差小于2%，动态响应趋势与实际运行一致。
      结论  所提方法实现了凝给水系统物理实体与数字孪生模型的虚实映射，可以为船舶热力设备健康管理奠定基础。

     

    Abstract:
      Objective  It is difficult to carry out effective online monitoring and condition evaluation using traditional modeling and analysis methods. Therefore, it is imperative to research an accurate and effective virtual real mapping method for the whole life cycle of a marine condensate feed water system.
      Methods  On the basis of multi-domain modeling, this paper combines the mechanism model with multi-source data, uses the multi-domain physical modeling language Modelica/MWorks system simulation platform to build a digital twin model of the condensate feed water system, and integrates online and offline data, numerical calculation, simulation analysis and other methods to evaluate the operating state characteristics of the condensate feed water system.
      Result   The established model can analyze the dynamic characteristics of the condensate feed water system under all working conditions with a static analysis error lower than 2%. The dynamic response trend is consistent with the actual operation.
      Conclusion  This study shows that the proposed method can realize virtual real mapping between the physical entity and the digital twin model of the marine condensate feed water system, thereby laying a foundation for the health management of shipborne thermal equipment.

     

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