Digital twin modeling of production line for intelligent manufacturing simulation experiments
[Objective]To meet the industrial transformation and upgrading requirements,various universities have successively established intelligent manufacturing majors.In talent training,comprehensive practice is an indispensable part of ensuring training quality.However,there are some implementation challenges in practical training and experimental teaching,such as high construction costs for real production and manufacturing environments.The difficulty in ensuring the safety of practical teaching in real workshops is also high.Furthermore,there is a considerable gap between virtual simulation engineering practice education and reality.The digital twin model of the production line has high fidelity to the actual production environment,production process,and safe use.Therefore,its emergence provides a new way to construct intelligent manufacturing experimental environments.Thus,this study conducted research onan intelligent manufacturing simulation experiment system based on a digital twin model of the production line.[Methods]This intelligent manufacturing simulation experiment was implemented based on a multidimensional fused digital twin model.Multidimensional integration involves the collection of real-time communication data with workshop service platforms and workshop Internet of Things(IoT),as well as the integration of the received data into twin virtual platforms.Model fusion relies on adaptive planning and simulation platforms for intelligent manufacturing.The workshop information platform module serves as a channel for data transmission to support the interaction between twin models and physical entities on the production line.The main functions include receiving external and production-related information from the production line,saving workshop production process information,element information,process information collected by the workshop IoT module,and providing dynamic information for twin modeling.Integration of simulation experimental system modules ensures consistency between the virtual and real production environments.Furthermore,the collected physical production line and data are transmitted to the intelligent manufacturing adaptable planning simulation platform for analysis.The twin model of the production line is updated to achieve real-time synchronization between the digital twin scene and physical space.[Results]At the same time,the results of the twin-scene optimization simulation control the physical production line through data transmission channels.First,a digital twin system framework for an intelligent manufacturing simulation experiment is constructed based on the intelligent production line,workshop information platform,and production line digital twin technology.Second,the main models included in the system were as follows:Physical entity model of the production line,data acquisition and workshop information service platform,multidimensional model of digital twin production line,and an intelligent manufacturing simulation experiment platform are described in detail.Finally,a production line scheduling optimization experiment is designed to verify the effectiveness of the digital twin simulation experiment system.[Conlusions]This study developed a digital twin model for practical teaching in intelligent manufacturing-related majors.The model data contained in each production equipment and the whole production system were sorted by organically integrating multidimensional models such as structural,physical,behavioral,and control models of the production line.Thus,a multidimensional and multidomain fusion digital twin modeling method was proposed.The developed intelligent manufacturing simulation experimental system can be used for intelligent production line-related equipment,intelligent production line operation simulation,robot control experiments,and production scheduling decision verification.
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