A Methodology for Integrating Asset Administration Shells and Multi-agent Systems
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abstract
Industry 4.0 (I4.0) is promoting the digitization of industrial
environments towards intelligent and distributed industrial
automation systems based on Cyber-physical Systems (CPS).
Currently, this digitization process is being leveraged by the Asset
Administration Shell (AAS), which digitally describes an asset in
a standardized and semantically unambiguous form throughout
its lifecycle. However, more robust solutions based on autonomous
AASs endowed with collaborative and intelligent capabilities, also
called proactive AASs, are still in the early stages. In this context,
Multi-agent Systems (MAS) are a key enabler to provide the
required autonomy, intelligence and collaborative capabilities for
the AASs. With this in mind, this paper presents a methodology
positioned with respect to the Reference Architecture Model
Industrie 4.0 (RAMI4.0) layers, which provides guidelines for
integrating AASs and MAS, aiming to support the development
of proactive AASs. The applicability of the proposed methodology
was tested through the integration of AASs and MAS for a smallscale
CPS demonstrator.
The authors are grateful to the Foundation for Science
and Technology (FCT), Portugal, for financial support
through national funds FCT/MCTES (PIDDAC) to CeDRI
(UIDB/05757/2020 and UIDP/05757/2020) and SusTEC
(LA/P/0007/2021). The author Lucas Sakurada thanks the FCT
for the PhD Grant 2020.09234.BD.
