Examples of AI-based Assistance Systems in context of Model-Based Systems Engineering

Digitization is changing many fields of our society. Technical systems in particular are undergoing major changes. Tomorrow’s systems are characterized by their autonomy, high level of interconnection, and socio-technical interfaces. These systems can no longer be developed by one engineering discipline alone, but require interdisciplinary development teams. This type of development requires a high degree of collaboration, communication, and orchestration. Model-Based Systems Engineering (MBSE) supports engineers in the interdisciplinary development of future systems. MBSE uses models to generate a unified and complete view of the system. This allows changes to be easily tracked and the visualization helps to understand the system discipline-independent. The creation of these models still requires high effort. New AI technologies can be used to derive potential assistant systems in the context of MBSE. This paper shows realized examples of AI-based assistance systems. They are motivated by the experience of using MBSE in research and development projects with high complexity and inter-disciplinarity. The presented results are defined and first prototypically realized assistance within student projects.