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

The 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...

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Bibliographic Details
Published inInternational journal of computer integrated manufacturing Vol. 37; no. 1-2; pp. 149 - 164
Main Authors Wang, Yunrui, Wang, Yao, Ren, Wengzhe, Wu, Zhengli, Li, Juan
Format Journal Article
LanguageEnglish
Published Taylor & Francis 01.02.2024
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ISSN0951-192X
1362-3052
DOI10.1080/0951192X.2023.2257650

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Summary:The 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.
ISSN:0951-192X
1362-3052
DOI:10.1080/0951192X.2023.2257650