Abstract
Motivated by the huge effort for adapting discrete field level automation software in case of (even minor) modifications of the technical system, this paper presents an approach to support the engineering and re-engineering of open-loop control software. In contrast to implement what a plant has to do, we suggest a novel modelling approach which enables describing what a plant is able to do. Based on an extension of the Unified Modelling Language meta model, an object-oriented approach for describing a manufacturing system's state space in a consolidated way is proposed. The strict, declarative semantics of ontologies is utilized to automatically reason about this model for determining the manufacturing system's state space and deriving an optimal operation sequence to be implemented.
| Original language | English |
|---|---|
| Pages (from-to) | 1101-1111 |
| Number of pages | 11 |
| Journal | Journal of Intelligent Manufacturing |
| Volume | 25 |
| Issue number | 5 |
| DOIs | |
| State | Published - Oct 2014 |
Keywords
- Discrete field level software
- Model-based engineering
- Ontology
- State space planning
- Unified Modelling Language
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