Research on Equipment Automated Inspection and Acceptance Framework Based on Ontology Modeling
Zexi Li, Meng Chen · 2019
The traditional way of inspection and acceptance based on paper specifications and manual review have been unable to meet the practical demands of digital quality supervision and high-precision sophisticated weapon quality monitoring. Therefore, this paper presents an automated inspection framework for equipment based on ontology modeling. By modeling the key elements in the inspection and acceptance and express the semantics of the specification rules, it can automatically make qualification judgment on inspection results, thus enhance general efficiency of the inspection and acceptance. Finally, simulation experiments on the protégé platform show the validity of the framework.