Name
Title | ||
|---|---|---|
Accessing and Interpreting OPC UA Event Traces based on Semantic Process Descriptions |
Abstract | ||
|---|---|---|
The analysis of event data from production systems is the basis for many applications associated with Industry 4.0. However, heterogeneous and disjoint data is common in this domain. As a consequence, contextual information of an event might be incomplete or improperly interpreted which results in suboptimal analysis results. This paper proposes an approach to access a production systems' event data based on the event data's context (such as the product type, process type or process parameters). The approach extracts filtered event logs from a database system by combining: 1) a semantic model of a production system’s hierarchical structure, 2) a formalized process description and 3) an OPC UA information model. As a proof of concept we demonstrate our approach using a sample server based on OPC UA for Machinery Companion Specifications. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/ETFA52439.2022.9921565 | 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) |
Keywords | DocType | ISBN |
Ontology,OPC Unified Architecture,Semantic Web,Cyber-Physical Production System,Formalized Process Description | Conference | 978-1-6654-9997-2 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tom Westermann | 1 | 0 | 0.34 |
| Nemanja Hranisavljevic | 2 | 0 | 0.34 |
| Alexander Fay | 3 | 4 | 4.14 |