An auxiliary assembly method of industrial structural parts based on virtual-real fusion

Shengyong Li, Linqing Du, Shiyao Xu, Hongyu Wang
{"title":"An auxiliary assembly method of industrial structural parts based on virtual-real fusion","authors":"Shengyong Li, Linqing Du, Shiyao Xu, Hongyu Wang","doi":"10.1109/ccis57298.2022.10016410","DOIUrl":null,"url":null,"abstract":"Assembly is an important part of industrial production. With the development of industrialization, industrial structural parts are more complex, there are large differences between parts, the product structure is complex, and the quality requirements of the assembly link are increased, resulting in the backwardness of the original assembly link. In order to solve the above problems, an auxiliary assembly method based on virtual-real fusion is proposed, which can realize the high-precision assembly of complex structure products and simplify the assembly operation. On the basis of manual assembly, the virtual drawing projection module is added, which can realize the combination of virtual drawing and physical assembly version, and then assist workers in assembly. The PnP algorithm is used to solve the spatial 3D information of the assembly target by using the circle center data based on 4 feature points. The performance analysis and simulation results show that the proposed method not only realizes the efficient assembly of industrial product structural parts, but also has high precision, which can meet the diverse assembly needs of the factory.","PeriodicalId":374660,"journal":{"name":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ccis57298.2022.10016410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Assembly is an important part of industrial production. With the development of industrialization, industrial structural parts are more complex, there are large differences between parts, the product structure is complex, and the quality requirements of the assembly link are increased, resulting in the backwardness of the original assembly link. In order to solve the above problems, an auxiliary assembly method based on virtual-real fusion is proposed, which can realize the high-precision assembly of complex structure products and simplify the assembly operation. On the basis of manual assembly, the virtual drawing projection module is added, which can realize the combination of virtual drawing and physical assembly version, and then assist workers in assembly. The PnP algorithm is used to solve the spatial 3D information of the assembly target by using the circle center data based on 4 feature points. The performance analysis and simulation results show that the proposed method not only realizes the efficient assembly of industrial product structural parts, but also has high precision, which can meet the diverse assembly needs of the factory.
基于虚实融合的工业结构件辅助装配方法
装配是工业生产的重要组成部分。随着工业化的发展,工业结构件更加复杂,零件之间存在较大差异,产品结构复杂,对装配环节的质量要求提高,导致原有的装配环节落后。针对上述问题,提出了一种基于虚实融合的辅助装配方法,可实现复杂结构产品的高精度装配,简化装配操作。在手工装配的基础上,增加了虚拟图纸投影模块,实现了虚拟图纸与物理装配版本的结合,辅助工人进行装配。采用PnP算法,利用基于4个特征点的圆心数据求解装配目标的空间三维信息。性能分析和仿真结果表明,该方法不仅实现了工业产品结构件的高效装配,而且具有较高的装配精度,能够满足工厂多样化的装配需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信