多学科空间系统工程中概念数据建模语言研究

2015 3rd International Conference on Model-Driven Engineering and Software Development (MODELSWARD) Pub Date : 2015-02-09 DOI:10.5220/0005329003840393

Christian Hennig, H. Eisenmann, A. Viehl, O. Bringmann

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引用次数: 4

摘要

复杂系统的工程越来越多地通过基于计算机的模型得到支持，这些模型依赖于其底层数据的全面规范。本文反映了概念数据建模的复杂应用的广泛工业经验，解决了在空间系统工程背景下出现的需求。为此，在基于模型的系统工程的范围内确定了概念数据建模的需要。建立概念数据模型的已建立的和不断发展的方法和技术被描述、分析和讨论了它们对建模工程数据的适用性。在此基础上，对概念数据建模的未来发展提出了建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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On languages for conceptual data modeling in multi-disciplinary space systems engineering

The engineering of complex systems is more and more supported through computer-based models that rely on a comprehensive specification of their underlying data. This paper reflects on extensive industrial experience with a sophisticated application of conceptual data modeling, addressing requirements as they arise in the context of space systems engineering. For this purpose identified needs for conceptual data modeling in the scope of Model-Based Systems Engineering are formulated. Established and evolving approaches and technologies for building conceptual data models are characterized, analyzed, and discussed regarding their suitability for modeling engineering data. Based on this analysis of the state of the art, recommendations for the future evolution of conceptual data modeling are formulated.

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2015 3rd International Conference on Model-Driven Engineering and Software Development (MODELSWARD)

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