为航天运载火箭建立可扩展的基于模型的数字孪生框架

IF 10.4 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Industrial Information Integration Pub Date : 2024-06-13 DOI:10.1016/j.jii.2024.100641
Ran Wei , Ruizhe Yang , Shijun Liu , Chongsheng Fan , Rong Zhou , Zekun Wu , Haochi Wang , Yifan Cai , Zhe Jiang
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引用次数: 0

摘要

数字孪生(DT)的概念越来越多地应用于各领域不同抽象层次的系统,以支持监测、分析、诊断、决策和自动控制。虽然人们对应用 DT 的兴趣与日俱增,但 DT 的定义并不明确,也没有开发 DT 以充分实现其能力的明确途径。在本文中,我们将修订 DT 概念及其分类。我们提出了一个 DT 成熟度矩阵,并在此基础上提出了一种基于模型的 DT 开发方法。我们还讨论了如何使用基于模型的工具来支持该方法,并介绍了我们自己的支持工具。我们报告了我们的初步研究结果,并讨论了一个案例研究,在该案例研究中,我们使用我们提出的方法和支持工具开发了一个可扩展的 DT 平台,用于保证太空运载火箭的电气和电子系统。
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Towards an extensible model-based digital twin framework for space launch vehicles

The concept of Digital Twin (DT) is increasingly applied to systems on different levels of abstraction across domains, to support monitoring, analysis, diagnosis, decision making and automated control. Whilst the interest in applying DT is growing, the definition of DT is unclear, neither is there a clear pathway to develop DT to fully realise its capacities. In this paper, we revise the concept of DT and its categorisation. We propose a DT maturity matrix, based on which we propose a model-based DT development methodology. We also discuss how model-based tools can be used to support the methodology and present our own supporting tool. We report our preliminary findings with a discussion on a case study, in which we use our proposed methodology and our supporting tool to develop an extensible DT platform for the assurance of Electrical and Electronics systems of space launch vehicles.

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来源期刊
Journal of Industrial Information Integration
Journal of Industrial Information Integration Decision Sciences-Information Systems and Management
CiteScore
22.30
自引率
13.40%
发文量
100
期刊介绍: The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.
期刊最新文献
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