A concept for human-cyber-physical systems of future wind turbines
towards Industry 5
Abstract
This work proposes a novel concept for a semi-autonomous
human-cyber-physical system (HCPS) to operate next-generation wind
turbines on the way towards Industry 5.0. The exponential increase in
the complexity of future wind turbines requires artificial intelligence
(AI) to operate the machines efficiently and consistently. Evolving
current Industry 4.0 digital twin technology beyond a sole aid for a
human decision-making process, the digital twin in the proposed system
is utilized for highly effective training of the AI through machine
learning. Human intelligence (HI) is elevated to a supervisory level,
making high-level decisions through a human-machine interface to break
the autonomy when needed. This paper points out a plausible way to
realize the HCPS by identifying strategic development demands for the
key enabling technologies projected from readily available knowledge.