Type:

Year:

Editor:

Author:

Ali Asghar Bataleblu; Erik Felix Tinsel; Benjamin Schneider; Erwin Rauch; Armin Lechler; Oliver Riedel

Series:

Institution:

Page(s):

DOI number:

Abstract:

In transitioning to digital twins (DTs), the variety in requirements and their interactions impedes the effectiveness and efficiency of the developed DTs. The experts' information exchange and multi-domain dependency extraction are crucial in creating a practical DT. Interpreting a physical system's requirements through a knowledge-based approach into a new set of requirements in the digital domain, and connecting and tracing them concurrently, can significantly narrow the gap between digital twins and practical needs. This paper proposes an artificial Intelligence (AI) assisted tech-driven requirements writing and management framework based on the axiomatic design (AD) theory and a model-based systems engineering (MBSE) cloud. An outline of the envisioned framework is sketched on a W-model, one V is physical system and the other corresponds to digital model. The intersection of both V is where the interface will be managed to close the gap. Finally, the challenges in developing such a framework are discussed.

Keywords:

Requirements Management, Digital Twins, Model-based Systems Engineering, Artificial Intelligence, Axiomatic Design