Timing Planning Knowledge Representation for Micro Assembly Based on Ontology
Micro assembly is a focal point in assembly research because of its high assembly accuracy requirements and high assembly difficulty. Current micro assembly techniques focus on precision and consistency, yet face a significant efficiency obstacle due to the conflict between precision and efficiency....
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10878973/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849720207964110848 |
|---|---|
| author | Jiahui Qian Yigang Wang Zhijing Zhang |
| author_facet | Jiahui Qian Yigang Wang Zhijing Zhang |
| author_sort | Jiahui Qian |
| collection | DOAJ |
| description | Micro assembly is a focal point in assembly research because of its high assembly accuracy requirements and high assembly difficulty. Current micro assembly techniques focus on precision and consistency, yet face a significant efficiency obstacle due to the conflict between precision and efficiency. Therefore, recent micro assembly challenges mainly include prolonged planning cycles, complex assembly processes, and suboptimal efficiency. An effective method to solve the efficiency problem is assembly timing intelligent decision-making, which can realize assembly efficiency optimization intelligently while ensuring assembly feasibility. As knowledge modeling is essential to intelligent decision-making, this paper proposes a micro assembly timing planning knowledge representation method. Firstly, micro assembly process knowledge is analyzed from two aspects: microdevices assembly process knowledge and micro assembly system process knowledge. Then, ontology-based micro assembly timing knowledge modeling method is proposed to realize the systematic knowledge representation for micro assembly timing planning, which is elaborated by the top-level micro assembly process ontology and micro assembly timing planning ontology. In conclusion, the proposed knowledge modeling theory and method present practical and implementable technical approaches for intelligent decision-making in timing planning. In addition, the knowledge modeling method from top-level ontology to application ontology provides the knowledge modeling logic and knowledge modeling process respectively. |
| format | Article |
| id | doaj-art-c52cd24d4954456d9bbd16e550004d20 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-c52cd24d4954456d9bbd16e550004d202025-08-20T03:11:58ZengIEEEIEEE Access2169-35362025-01-0113279612798310.1109/ACCESS.2025.354008710878973Timing Planning Knowledge Representation for Micro Assembly Based on OntologyJiahui Qian0https://orcid.org/0000-0002-7989-5227Yigang Wang1https://orcid.org/0009-0002-2016-0848Zhijing Zhang2https://orcid.org/0000-0002-4305-9761School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, ChinaSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, ChinaSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, ChinaMicro assembly is a focal point in assembly research because of its high assembly accuracy requirements and high assembly difficulty. Current micro assembly techniques focus on precision and consistency, yet face a significant efficiency obstacle due to the conflict between precision and efficiency. Therefore, recent micro assembly challenges mainly include prolonged planning cycles, complex assembly processes, and suboptimal efficiency. An effective method to solve the efficiency problem is assembly timing intelligent decision-making, which can realize assembly efficiency optimization intelligently while ensuring assembly feasibility. As knowledge modeling is essential to intelligent decision-making, this paper proposes a micro assembly timing planning knowledge representation method. Firstly, micro assembly process knowledge is analyzed from two aspects: microdevices assembly process knowledge and micro assembly system process knowledge. Then, ontology-based micro assembly timing knowledge modeling method is proposed to realize the systematic knowledge representation for micro assembly timing planning, which is elaborated by the top-level micro assembly process ontology and micro assembly timing planning ontology. In conclusion, the proposed knowledge modeling theory and method present practical and implementable technical approaches for intelligent decision-making in timing planning. In addition, the knowledge modeling method from top-level ontology to application ontology provides the knowledge modeling logic and knowledge modeling process respectively.https://ieeexplore.ieee.org/document/10878973/Intelligent assemblytiming planningknowledge modelingassembly process ontology |
| spellingShingle | Jiahui Qian Yigang Wang Zhijing Zhang Timing Planning Knowledge Representation for Micro Assembly Based on Ontology IEEE Access Intelligent assembly timing planning knowledge modeling assembly process ontology |
| title | Timing Planning Knowledge Representation for Micro Assembly Based on Ontology |
| title_full | Timing Planning Knowledge Representation for Micro Assembly Based on Ontology |
| title_fullStr | Timing Planning Knowledge Representation for Micro Assembly Based on Ontology |
| title_full_unstemmed | Timing Planning Knowledge Representation for Micro Assembly Based on Ontology |
| title_short | Timing Planning Knowledge Representation for Micro Assembly Based on Ontology |
| title_sort | timing planning knowledge representation for micro assembly based on ontology |
| topic | Intelligent assembly timing planning knowledge modeling assembly process ontology |
| url | https://ieeexplore.ieee.org/document/10878973/ |
| work_keys_str_mv | AT jiahuiqian timingplanningknowledgerepresentationformicroassemblybasedonontology AT yigangwang timingplanningknowledgerepresentationformicroassemblybasedonontology AT zhijingzhang timingplanningknowledgerepresentationformicroassemblybasedonontology |