Semantic Asset Administration Shell Towards a Cognitive Digital Twin

The chapter delves into the challenges of managing complex manufacturing systems and the need for higher autonomy and flexibility. It introduces the concept of Cognitive Digital Twins (CDTs) and explains how Semantic Asset Administration Shells (SAAS) can be used to describe the internal behavior of machines and their interactions with other system elements. The research question focuses on implementing CDTs using semantic technologies and the AAS standard, highlighting the benefits of enhanced problem-solving and knowledge reuse. The chapter presents a proof-of-concept for a simple industrial machine, demonstrating the application of SAAS in defining CDTs. It also outlines the information system architecture capable of capturing data on the shop floor, generating SAAS, and utilizing it at the business layer. The use of RDF Mapping Language (RML) and Shapes Constraint Language (SHACL) for mapping and validating SAAS instances is discussed, emphasizing the importance of semantic interoperability and data validation. The framework presented combines concepts from RAMI4.0, smart factories, and the manufacturing data lifecycle, introducing a Semantic Translator for integrating heterogeneous data streams. The chapter concludes by proposing future work to expand the AAS model and ensure data sovereignty and security, contributing to the advancement of digitalization in manufacturing.