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Development of an Industry 4.0 ontology to enable semantic interoperability at the field level
(2025)
Industrial communication at the field level is highly dependent on the standards and their implementation on industrial PCs and Programmable Logic Controllers. The integration of industrial sensors and actuators requires manual configuration by plant operators and automation engineers. Nowadays interoperability plays an important role in Industry 4.0. For this the OPC UA Foundation and Platform Industrie 4.0 organization have published the Field Device eXchange and Asset Administration Shell standards, respectively, to define interoperable metadata models. However, there is no single way to define a field device metadata model and reuse it with other systems. This leads to heterogeneous data models and a lack of agreement on a generic semantic model for field devices. In this paper, we propose the Industry 4.0 Field Device Ontology to enable an interoperable semantic definition of field devices. The goal of this ontology is to reuse existing information from field devices, such as device description files, device profiles, and their application data. This paper covers the design of the ontology to enable semantic interoperability of field devices, the generalization of application data, and its implementation with the OWL 2 Web Ontology Language. The main contribution of our work is to provide the basic building blocks to enable the development of interoperable field device applications and integration with Industry 4.0 information model standards.
Industrial field devices exchange information through standardized communication interfaces and data models,
encompassing process data, communication properties, and vendor details. Despite enhancing interoperability within a specific
protocol, integrating these devices with diverse systems poses challenges due to data model fragmentation and custom
interfaces. The absence of a universal semantic model for categorizing field device process data independently of standards
necessitates engineers to repetitively devise custom exchange data models for different sensors and actuators, relying on
standards like OPC-UA. In response, this work proposes an ontology-based architecture to tackle information data model
fragmentation, aiming for seamless data interoperability across a universal interface. By focusing on two open-access field
device standards, IO-Link and CANOpen, we compare their information data models, identify existing limitations, and put
forth a semantic information model. The objective is to offer an interoperable interface for Industry 4.0 applications,
showcasing the potential of an ontology-based approach in streamlining data exchange and reducing heterogeneity among
field devices.