SA-OPC-UA: Introducing Semantics to OPC-UA Application Methods

Katti, Badarinath; Plociennik, Christiane; Ruskowski, Martin; Schweitzer, Michael

doi:10.1109/coase.2018.8560467

Cited by 11 publications

(6 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This approach added flexibility in generating orchestration plans, to overcome any unpredicted events in production. Their work was further developed in [36] where they introduced Semantic Annotations (SAWSDL) concepts for more added benefit. They named this approach Semantically Annotated OPC-UA (SA-OPC-UA).…”

Section: The Communication Layer: Semantically-enhanced Opc-uamentioning

confidence: 99%

“…Katti et al [36] made use of a manufacturing production scenario of a shop-floor. Their example included a production routing consisting of three unique operations: welding, color spraying, and quality checking.…”

Section: Semantic Asset Administration Shells: Application Casesmentioning

confidence: 99%

“…[34] Smart manufacturing RDF, Standards Ontology (STO) OPC-UA, AutomationML Facilitate the structuring, selection, and integration of standards. [35], [36] Smart manufacturing OWL-S, SAWSDL OPC-UA, GeSCo Add flexibility in generating production plans. [39] Semantic sensor web SPITFIRE Linked Open Data (LOD) cloud Link semantic sensor models to the cloud.…”

Section: Semantic Asset Administration Shells: Application Casesmentioning

confidence: 99%

“…[16] Embedded Micro Reasoner Detect overflow of water in a tank using sensors. [36] Shop Floor Production Machines Welding, color spraying and quality testing processes on shop floor. [39] Sensors Connect, search and display sensors to the web & internet.…”

Section: Referencementioning

confidence: 99%

See 3 more Smart Citations

Semantic Asset Administration Shells in Industry 4.0: A Survey

Beden

Cao

Beckmann

2021

2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)

View full text Add to dashboard Cite

The Asset Administration Shell (AAS) is a fundamental concept in the Reference Architecture Model for Industry 4.0 (RAMI 4.0), that provides a virtual and digital representation of all information and functions of a physical asset in a manufacturing environment. Recently, Semantic AASs have emerged that add knowledge representation formalisms to enhance the digital representation of physical assets. In this paper, we provide a comprehensive survey of the scientific contributions to Semantic AASs that model the Information and Communication Layer within RAMI 4.0, and summarise and demonstrate their structure, communication, functionalities, and use cases. We also highlight the challenges of future development of Semantic AASs.

show abstract

Section: The Communication Layer: Semantically-enhanced Opc-uamentioning

confidence: 99%

Section: Semantic Asset Administration Shells: Application Casesmentioning

confidence: 99%

Section: Semantic Asset Administration Shells: Application Casesmentioning

confidence: 99%

Section: Referencementioning

confidence: 99%

See 2 more Smart Citations

Semantic Asset Administration Shells in Industry 4.0: A Survey

Beden

Cao

Beckmann

2021

2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)

View full text Add to dashboard Cite

show abstract

“…The integration of an ontologybased semantic engineering and data interpretation layer with an OPC UA-enabled loosely-coupled control system for astronomical instrumentation is explained in [13]. In [14] and [15], the authors present the combination of OPC UA methods with semantic service descriptions based on OWL for Web Services (OWL-S) and the Semantic Annotations for WSDL and XML Schema (SAWSDL) with the goal of automatically creating orchestration plans for manufacturing resources.…”

Section: Related Workmentioning

confidence: 99%

OPC UA NodeSet Ontologies as a Pillar of Representing Semantic Digital Twins of Manufacturing Resources

Perzylo

Profanter

Rickert

et al. 2019

2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

View full text Add to dashboard Cite

The effectiveness of cognitive manufacturing systems in agile production environments heavily depends on the automatic assessment of various levels of interoperability between manufacturing resources. For taking informed decisions, a semantically rich representation of all resources in a workcell or production line is required. OPC UA provides means for communication and information exchange in such distributed settings. This paper proposes a semantic representation of a resource's properties, in which we use OWL ontologies to encode the information models that can be found in OPC UA NodeSet specifications. We further combine these models with an OWLbased description of the resource's geometry and-if applicable-its kinematic model. This leads to a comprehensive semantic representation of hardware and software features of a manufacturing resource, which we call semantic digital twin. Among other things, it reduces costs through virtual prototyping and enables the automatic deployment of manufacturing tasks in production lines. As a result, small-batch assemblies become financially viable. In order to minimize the effort of creating OWL-based UA NodeSet descriptions, we provide a software tool for the automatic transformation of XML-based NodeSet specifications that adhere to the OPC Foundation's NodeSet2 XML schema.

show abstract

The Semantic Asset Administration Shell

Bader

Maleshkova

2019

Lecture Notes in Computer Science

View full text Add to dashboard Cite

The disruptive potential of the upcoming digital transformations for the industrial manufacturing domain have led to several reference frameworks and numerous standardization approaches. On the other hand, the Semantic Web community has made significant contributions in the field, for instance on data and service description, integration of heterogeneous sources and devices, and AI techniques in distributed systems. These two streams of work are, however, mostly unrelated and only briefly regard each others requirements, practices and terminology. We contribute to closing this gap by providing the Semantic Asset Administration Shell, an RDF-based representation of the Industrie 4.0 Component. We provide an ontology for the latest data model specification, created a RML mapping, supply resources to validate the RDF entities and introduce basic reasoning on the Asset Administration Shell data model. Furthermore, we discuss the different assumptions and presentation patterns, and analyze the implications of a semantic representation on the original data. We evaluate the thereby created overheads, and conclude that the semantic lifting is manageable, also for restricted or embedded devices, and therefore meets the needs of Industrie 4.0 scenarios.

show abstract

SA-OPC-UA: Introducing Semantics to OPC-UA Application Methods

Cited by 11 publications

References 9 publications

Semantic Asset Administration Shells in Industry 4.0: A Survey

Semantic Asset Administration Shells in Industry 4.0: A Survey

OPC UA NodeSet Ontologies as a Pillar of Representing Semantic Digital Twins of Manufacturing Resources

The Semantic Asset Administration Shell

Contact Info

Product

Resources

About