Research on dynamic scheduling and perception method of assembly resources based on digital twin

IF 3.7 3区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Computer Integrated Manufacturing Pub Date : 2023-09-14 DOI:10.1080/0951192x.2023.2257650
Yunrui Wang, Yao Wang, Wengzhe Ren, Zhengli Wu, Juan Li
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Abstract

ABSTRACTThe uncertainty and dynamic changes in assembly resources can seriously affect the normal operation of the assembly plant. In response to the problems of incomprehensive resource control mechanism, poor timeliness of monitoring data, and low level of scheduling intelligence in the assembly plant, a dynamic scheduling and perception method of assembly resources based on digital twin is proposed so that the uncertainties in the assembly process can be monitored and dealt with in time. In this paper, a dynamic scheduling model of assembly resources based on a digital twin is constructed, and the operation mechanism of assembly resources in the constructed digital twin model is expounded. And the dynamic perception method of assembly resources based on the Petri network is studied in detail, and the perception and interaction models of four assembly resources in the product assembly process are constructed: workpiece, handling equipment, assembly center, and storage area. Finally, combined with the assembly workshop of enterprise A’s frame factory, the Petri network model is simulated with the help of the CPN Tools simulation tool to obtain real-time and simulation data such as assembly resources and workstation operation time are obtained, which provides a scientific basis for the smooth implementation of enterprise assembly plan and dynamic scheduling of assembly resources.KEYWORDS: Petri netdigital twinassembly resourcesdynamic perception Disclosure statementNo potential conflict of interest was reported by the author(s).
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基于数字孪生的装配资源动态调度与感知方法研究
摘要装配资源的不确定性和动态变化会严重影响装配工厂的正常运行。针对装配厂资源控制机制不完善、监控数据时效性差、调度智能水平低等问题,提出了一种基于数字孪生的装配资源动态调度与感知方法,以便及时监控和处理装配过程中的不确定性。构建了基于数字孪生的装配资源动态调度模型,阐述了构建的数字孪生模型中装配资源的运行机制。详细研究了基于Petri网络的装配资源动态感知方法,构建了产品装配过程中工件、搬运设备、装配中心和存储区域四种装配资源的感知与交互模型。最后,结合A企业车架厂装配车间,借助CPN Tools仿真工具对Petri网络模型进行仿真,获得装配资源和工作站运行时间等实时仿真数据,为企业装配计划的顺利实施和装配资源的动态调度提供科学依据。关键词:Petri网数字双组合资源动态感知披露声明作者未报告潜在利益冲突。
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来源期刊
CiteScore
9.00
自引率
9.80%
发文量
73
审稿时长
10 months
期刊介绍: International Journal of Computer Integrated Manufacturing (IJCIM) reports new research in theory and applications of computer integrated manufacturing. The scope spans mechanical and manufacturing engineering, software and computer engineering as well as automation and control engineering with a particular focus on today’s data driven manufacturing. Terms such as industry 4.0, intelligent manufacturing, digital manufacturing and cyber-physical manufacturing systems are now used to identify the area of knowledge that IJCIM has supported and shaped in its history of more than 30 years. IJCIM continues to grow and has become a key forum for academics and industrial researchers to exchange information and ideas. In response to this interest, IJCIM is now published monthly, enabling the editors to target topical special issues; topics as diverse as digital twins, transdisciplinary engineering, cloud manufacturing, deep learning for manufacturing, service-oriented architectures, dematerialized manufacturing systems, wireless manufacturing and digital enterprise technologies to name a few.
期刊最新文献
Integration of extended reality and CAE in the context of industry 4.0 Real-time tool condition monitoring with the internet of things and machine learning algorithms Flexible automation and intelligent manufacturing highlights: special issue editorial State of the art and future directions of digital twin-enabled smart assembly automation in discrete manufacturing industries Tool wear prediction method based on dual-attention mechanism network
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