Towards an ontology-based generic interface for field device capabilities in automation systems

  • Field devices play an important role in the automation industry, providing the means to sense and control industrial processes. With the emergence of the Industry 4.0 strategy within the last decade, field devices now require an intelligent description that enables interoperability regardless of communication protocols and standards. Organizations such as the OPC UA Foundation and the Industrie 4.0 Platform are leading the way with standardized metadata models for describing intelligent systems. These standards enable the definition of interoperable semantic models that provide static and dynamic information for sensors and actuators. However, an open issue is the definition of a generic interface that abstracts the specific domain concepts from the different standards and field device organizations. In this paper, we propose an ontology-based interface to obtain generic field device capabilities and their relation to a field device-specific implementation. This approach allows industrial systems to automatically retrieve information from field devices without having to understand the specific semantics of a protocol and provides a bridge between the raw process data and a generalized definition that can be reused across devices. A proof of concept is presented with the integration of the generic interface for field devices and its implementation on a Programmable Logic Controller with a CODESYS runtime.

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Metadaten
Author:Victor Francisco Chávez BermúdezORCiD, Jörg F. WollertORCiD
DOI:https://doi.org/10.1109/ICCP63557.2024.10793022
Parent Title (English):Proceedings 2024 IEEE 20th International Conference on Intelligent Computer Communication and Processing Conference (ICCP)
Publisher:IEEE
Place of publication:New York
Document Type:Conference Proceeding
Language:English
Year of Completion:2024
Tag:capabilities; field device; intelligent sensors; interoperability; ontology
Length:6 Seiten
Note:
2024 IEEE 20th International Conference on Intelligent Computer Communication and  Processing Conference (ICCP), Cluj-Napoca, Romania, October 17-19, 2024
Link:https://doi.org/10.1109/ICCP63557.2024.10793022
Zugriffsart:campus
Institutes:FH Aachen / Fachbereich Maschinenbau und Mechatronik
FH Aachen / IaAM - Institut für angewandte Automation und Mechatronik
collections:Verlag / IEEE
Licence (German): Urheberrechtlich geschützt