Process knowledge management method for intelligent assembly

被引：0
|
作者：
Liu Y. [1 ]
Mao J. [1 ]
Zheng W. [2 ]
机构：
[1] School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai
[2] Huarong Printing Technology Co., Ltd., Beijing
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2023年 / 29卷 / 08期
关键词：
assembly process; intelligent assembly; knowledge base; knowledge management; knowledge model;
D O I：
10.13196/j.cims.2023.08.024
中图分类号：
学科分类号：
摘要：
Aiming at the problems of the low intelligence and cumbersome process knowledge in the assembly process of electromechanical products, an assembly process knowledge management method oriented to intelligent assembly was proposed. The process knowledge model was constructed based on ontology, and Web Ontology Language (OWL) was used to encode the knowledge ontology. The characteristics of process knowledge involved in the assembly process were classified. The process knowledge base was constructed on the basis of the type of knowledge. An assembly process knowledge management method based on product life cycle was proposed. Additionally, an intelligent reasoning process method based on ontology semantic similarity and logical reasoning was designed. Combining Manufacturing Execution System (MES) and closed-loop control ideas, an evaluation and optimization method was proposed. By taking the relay as an example, the validity of the process management method was verified. The assembly process management system was applied in an aerospace electronics enterprise. © 2023 CIMS. All rights reserved.
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页码：2792 / 2800
页数：8
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