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Experimentable digital twins for model-based systems engineering and simulation-based development

机译：实验性数字孪生，用于基于模型的系统工程和基于仿真的开发

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The concepts and methodologies behind Model-based Systems Engineering (MBSE) hold great promises concerning the development of complex systems. Various projects have been carried out successfully during the last years and demonstrated the power behind the overall concept - and the practical problems to reach the ambitious overall goals. Whereas the first steps of MBSE like the iterative modeling of requirements, designs, behaviors, and tests became standard procedures in Systems Engineering (SE), the transition to simulation often is still restricted to quite simple scenarios. Although elaborated system models deliver all the information needed, the simulation of the overall system in prospective working environments interacting with other systems is rather an exception. The problem is that there is still quite a gap between the first SE steps and the various algorithms simulation technology can offer today. Major reasons for this seem to be the resulting complexity of the system model when modeling complex interactions, the complexity of using state-of-the-art simulation technology and the absence of simulation frameworks for simulations across multiple domains and disciplines. "Experimentable Digital Twins", a concept originally developed for the eRobotics methodology, seem to have the potential to close the gap between SE and simulation by introducing a new structuring element to configure simulations. A new simulation system architecture integrating well-known simulation algorithms provides Virtual Testbeds for the simultaneous simulation of a network of different Digital Twins interacting with each other in various ways (i.e. a network of different systems, their components and their working environment). This approach has been successfully used for a variety of different applications in multiple research areas. As one application, it allows for the simulation-based optimization of parameters, system structure etc.
机译：基于模型的系统工程（MBSE）背后的概念和方法论对复杂系统的开发有着广阔的前景。在过去的几年中，成功开展了各种项目，这些项目证明了总体概念背后的力量-以及实现宏伟总体目标的实际问题。尽管MBSE的第一步（如需求，设计，行为和测试的迭代建模）已成为系统工程（SE）中的标准程序，但向仿真的过渡通常仍限于相当简单的场景。尽管详细的系统模型可以提供所需的所有信息，但是在与其他系统交互的预期工作环境中对整个系统进行的模拟却是一个例外。问题在于，最初的SE步骤与当今的仿真技术所能提供的各种算法之间仍存在很大差距。造成这种情况的主要原因似乎是对复杂的交互进行建模时系统模型的复杂性，使用最新的仿真技术的复杂性以及缺乏跨多个领域和学科进行仿真的仿真框架。最初为eRobotics方法开发的概念“ Experimentable Digital Twins”似乎有可能通过引入新的结构元素来配置仿真来缩小SE和仿真之间的差距。集成了著名仿真算法的新仿真系统架构提供了虚拟测试平台，用于同时仿真以各种方式相互交互的不同数字孪生网络（即不同系统，其组件和工作环境的网络）。这种方法已成功用于多个研究领域中的各种不同应用。作为一种应用程序，它允许对参数，系统结构等进行基于仿真的优化。

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