Abstract
Programmable Logic Controller (PLC) is a typical control kernel for manufacturing automation, especially in the era of Industry 3.0. Centralized control architecture of PLC with an ease of maintenance has been widely applied in many arenas for automation. However, PLC’s centralized structure is becoming incapable to handle the control requirements of smart factories in Industry 4.0, within which are full of diverse sensors and actuators, not to mention its incapability of expansion and flexibility.OWL (Ontology Web Language) is a language representing knowledge in the format of ontology, whereas ontology is formal way to describe taxonomies and classification networks. Compared to the traditional program control system, system with OWL is ease of modification and expansion. By taking advantages of OWL into manufacturing control system, this research develops a manufacturing ontological knowledge model. Because of the system is built based on Jena package, SPARQL as a knowledge query language will be easily deployed to demonstrate the flexibility, robustness, and re-configurability of an ontology-based manufacturing control system to the environmental disturbances.
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