Speaker
Description
The Digital Twin (DT) is the most advanced paradigm to
create a virtual representation of a real world multi-physical system
for the sake of designing, monitoring, and supporting the decision
making throughout its whole lifecycle. Therefore, DT requires a
flexible ecosystem made of a variety of engineering tools and services
that need to be highly interoperable and enable knowledge
management and traceability. However, the major challenges that
slows down the emergence of DT environment are the inherent
incompatibility of engineering tools with the absence of a unified
standard for interoperability, and the human change aversion to new
technologies, tools and paradigms. For this purpose, we have
developed an evolutive environment that answers the main
requirements of Interoperability, Traceability, Flexibility, and
Knowledge management. In this paper, we introduce a general
overview of DT ecosystem with the limitation of some state-of-art
existing implementations with respect to four metrics. Then we will
introduce our solution applied to a nuclear case study to demonstrate a
highly evolutive implementation of a DT ecosystem.
