Intelligent Digital Twin in Health Sector: Realization of a Software-Service for Requirements- and Model-based-Systems-Engineering

Abstract

The concept of the intelligent Digital Twin focuses on automatic model creation and model extension for a product throughout its lifecycle using artificial intelligence. To create an intelligent Digital Twin, the Digital Twin architecture must also include software services that support machine learning algorithms. These software services must have two characteristics. First, an interface to the real environment to dynamically receive feedback from an existing product or a product under development. Second, machine learning algorithms that analyze and manage the Digital Twin's models based on feedback from the real product. In this paper, we present the concept and implementation of a software service within the intelligent Digital Twin's architecture for automated requirements modeling as well as for modeling of the product system architecture. Since medical devices differ significantly in their applied technology, area of use, and application, the requirement engineering of medical devices needs to identify and specify the critical design requirements for each product individually. This makes automated requirement engineering and Model-based-Systems Engineering of medical devices very challenging. The implemented intelligent software service meets these challenges for product design in the healthcare sector.