| Issue |
MATEC Web Conf.
Volume 355, 2022
2021 International Conference on Physics, Computing and Mathematical (ICPCM2021)
|
|
|---|---|---|
| Article Number | 02028 | |
| Number of page(s) | 8 | |
| Section | Mathematical Science and Application | |
| DOI | https://doi.org/10.1051/matecconf/202235502028 | |
| Published online | 12 January 2022 | |
Ontology-based assembly knowledge representation and process file generation
1 School of Mechanical and Vehicle, Beijing Institute of Technology, Beijing, China
2 National Natural Science Foundation of China, Beijing, China
3 Laser Fusion Research Center, China Academy of Engineering Physic, Mianyang, China
* Corresponding author: zhzhj@bit.edu.cn
Aiming at the problems of low assembly knowledge shareability and reusability as well as long generation cycle of assembly process, this paper proposes an ontology-based assembly knowledge representation method, and generates assembly process file based on this method. The assembly ontology, modelling through protégé software, has three central classes: AssemblyObject, AssemblyElement, and AssemblyTool. The assembly ontology is described in OWL language and the assembly knowledge concepts including classes and individuals are linked through properties. In addition, the assembly ontology in OWL language is parsed through Python's RDFLib library, and it is called and displayed in LabVIEW. Finally, the assembly process file containing assembly sequence and assembly process parameters is generated. This method realizes the formal description of assembly process knowledge at the semantic level and improves the shareability and reusability of assembly knowledge. Besides, the corresponding assembly process knowledge can be quickly queried and obtained through this method, improving the efficiency of assembly process planning, and providing intelligent assembly basic knowledge.
Key words: Ontology / Knowledge representation / Assembly ontology / Assembly process
© The Authors, published by EDP Sciences, 2022
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