With the rapid development of Artificial Intelligence (AI), big data, and IoT technologies,
the industrial systems are evolving fast into a class of Cyber-Physical-Social Systems (CPSS),
which provide a wide range of challenges and opportunities for enterprise management.
In this presentation, I will first outline the trend of intelligence, and discuss the evolution from Industrie 4.0 to Industries 5.0.
The core of Industrie 4.0 is “ICT + CPS”, and it is previously interpreted as “Information and Communication Technology + Cyber-Physical Systems”.
However, in the era of Industries 5.0, its interpretation has changed to “Intelligence and Connectivity Technology + Cyber-Physical-Social”.
Then, I will introduce the Parallel Industrial Systems (PIS) based on the ACP approach within the framework of Industries 5.0.
The basic ideas of PIS are
1) modeling and representing real industrial systems using artificial industrial systems;
2) analyzing and evaluating industrial situations by computational experiments;
and 3) controlling and managing industrial systems by parallel execution through interactions of real and artificial industrial systems.
The ACP based PIS provides a platform to generate big data from small data, and then characterize big data to small intelligence for specific tasks via various AI methods,
which enables seamless integration of AI techniques into industrial operations.
Finally, I will summarize our real-world practices and case studies of PIS over the last two decades in China.