Industrial Communication with Semantic Integration Patterns

Georg Güntner, Dietmar Glachs, Stefan Linecker, Felix Strohmeier (2023): Industrial Communication with Semantic Integration Patterns In: Terzi, S., Madani, K., Gusikhin, O., Panetto, H. (eds) Innovative Intelligent Industrial Production and Logistics. IN4PL 2023. Communications in Computer and Information Science, vol 1886. Springer, Cham. Print ISBN: 978-3-031-49338-6. eBook ISBN: 978-3-031-49339-3

Digital twins have emerged as a key technological concept in the manufacturing industry. They form an information hub for industrial equipment and interact with dedicated applications in the operational manufacturing network. Digital twins consume and deliver information from machines to basically all connected applications. This results in complex integration requirements. The paper builds on previously designed semantic interoperability concepts for datadriven digital twins. It gives an overview of semantic data integration standards and provides insights into the current implementation of semantic integration patterns. Based on the challenges of the underlying research project “i-Twin”, semantic integration patterns provide standardized communication channels for operational management systems and connected assets. They build on the services of the semantic data integration middleware and use semantic connectors to bridge the proprietary data objects with an I4.0 compliant information model based on the asset administration shell (AAS). Semantic integration patterns will reduce the integration effort for equipment manufacturers and software providers, thereby accelerating automation and digitalization processes.

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