Home NEMO 2022 Lectures MBSE and Semantic Modeling enable the transition from Digital Twins to Cognitive Twins

MBSE and Semantic Modeling enable the transition from Digital Twins to Cognitive Twins

Prof. Dr. Dimitris Kiritsis

Prof. Dr. Dimitris Kiritsis

Ecole polytechnique fédérale de Lausanne, Switzerland

The Cognitive Digital Twin (CDT) concept has been recently proposed which reveals a promising evolution of the current DT concept towards a more intelligent, comprehensive, and full lifecycle representation of complex systems. To explain the CDT vision and facilitate its development, we designed a three-dimensional CDT reference architecture based on the RAMI4.0 architecture. This reference architecture contains the key elements of the CDT vision including full lifecycle phases, system hierarchical level and multi-layer functions. Moreover, we introduce the main enabling technologies for CDT development and implementation directly correlated with the CDT characteristics, including semantic technologies, MBSE, PLM etc. The couplings of these technologies is another challenging task of CDT applications. From cyber-physical system perspective, it is critical to interconnect subsystems across different domains and lifecycle phases using adapters, brokers and other types of middleware mechanisms.

Lecture at NEMO2022

Date/Time: Monday, July 11, 2022 at 15:00