Digital Twin Architecture

The architecture of any digital twin is composed of several key components. The two most obvious ones are the physical twin and its virtual twin counterpart, while the third one would be the two-way data flow among them. On a physical twin side, these data originate from a number of different sensors (indicated by orange-colored dots), which are sensing the state of diverse subsystems (indicated in a light-yellow shade) that compose the physical twin of interest. In the case of the mobility system, these could be various vehicles, network infrastructure elements, or even quite detailed subsystems such as the drivetrain of public transport vehicles, emission sensors, or traffic cameras. These raw data can come in various, standardized, or unstandardized, forms bringing forward all the challenges related to big data. For this reason, while being integrated into the digital twin ecosystem the data should pass the data licensing check (for instance, to see if they are of open data category and / or under which conditions they can be used and reused). At the same time, the data should also pass the data quality check, enabling the argumentation of datasets and their metadata with data quality elements.

Source:<https://www.sciencedirect.com/science/article/abs/pii/B9780128207178000075?via%3Dihub>

Edited by Cheng Tian