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首页> 外文会议>IAF Space Systems Symposium;International Astronautical Congress >Evaluation of the Learning Process of a Data-Driven Systems Engineering Methodology in a Workshop Environment
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Evaluation of the Learning Process of a Data-Driven Systems Engineering Methodology in a Workshop Environment

机译：在研讨会环境中评估数据驱动系统工程方法的学习过程

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Since its official introduction by the International Council on Systems Engineering (INCOSE) in the "Systems Engineering Vision 2020" (2007). Model Based Systems Engineering (MBSE) has become a standard during the design process of complex systems and has brought about vast improvements compared to traditional, document-based engineering Nevertheless, MBSE tools can still become complex, in an effort to tackle the many problems faced by systems engineers. One of the main issues remains the handling of data and its propagation throughout the design, as the underlying calculations of the models are not continuously executed and therefore consistency between models, documents and simulations is not assured. To tackle this and other issues, an emerging approach was conceived to work beside MBSE that has huge potential to reduce complexity of the design process, enhance collaboration and significantly decrease necessary learning time: Data Driven Systems Engineering (DDSE). With DDSE, engineering data and associated structures, links and connections constitute the foundation of the systems engineering process. Data is constantly updated, shared and accessible from all the people involved in the design, while integrating and updating simulations and documents. The design is not a stack of separated inanimate objects, but a dynamic living organism, where all the parts contribute to the project: with DDSE, MBSE can realise its full potential. With the rise of interest towards the use of satellites, and with the introduction of new actors, such as universities and other entities with limited access to previous designs and knowledge, it is necessary to produce a new software tool that fills the gap between the conceptual phase and the hardware design phase, allowing a clear view of the system for multiple users. This paper presents the main results of a workshop held for university students, to analyse their first impact with system engineering and with a newly defined browse
机译：自国际机构工程理事会官方介绍以来“系统工程愿景2020”（2007年）。基于模型的系统工程（MBSE）已成为复杂系统的设计过程中的标准，并与传统的基于文档的工程相比，MBSE工具仍然变得复杂，以解决许多面临的问题由系统工程师。其中一个主要问题仍然是在整个设计中处理数据及其传播，因为模型的底层计算不连续执行，因此模型，文档和模拟之间的一致性不放心。为了解决这一问题和其他问题，设想了一种新兴的方法，在MBSE旁边工作，具有降低设计过程复杂性的巨大潜力，提高协作，并显着降低必要的学习时间：数据驱动系统工程（DDSE）。通过DDSE，工程数据和相关的结构，链接和连接构成了系统工程过程的基础。数据不断更新，共享和访问所有参与设计的人，同时集成和更新模拟和文档。该设计不是一堆分离的无生命物体，而是一种动态的生物体，所有部件都有助于该项目：随着DDSE，MBSE可以实现其全部潜力。随着利益使用卫星的兴起，并引入了新的演员，例如大学和其他有限的专业，获得以前的设计和知识有限，有必要生产一种填补概念之间的差距的新软件工具阶段和硬件设计阶段，允许对多个用户清晰的系统视图。本文介绍了为大学生举办的研讨会的主要结果，分析了他们对系统工程的第一次影响，并进行了新定义的浏览

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