How to model and implement connections between physical and virtual models for digital twin application |
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| Affiliation: | 1. Institute of Advanced Design and Manufacturing, Southwest Jiaotong University, Chengdu, 610031, People’s Republic of China;2. School of Design, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK;1. LURPA, ENS Paris-Saclay, Université Paris-Saclay, 94235 Cachan, France;2. Airbus Central R&T, 92130 Issy-les-Moulineaux, France;1. School of Mechanical Engineering, Southeast University, Nanjing 211198, China;2. Beijing Institute of Space Long March Vehicle, Beijing 100076, China;3. Beijing Spacecrafts Limited Company, Beijing 100094, China;1. National Engineering Research Center for Technological Innovation Method and Tool/School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300130, China;2. Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles, Tianjin, 300130, China;3. China State Shipbuilding Corporation Limited 716th Research Institute, Lianyungang, 222061, China;4. Faculty of Engineering Technology, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, Netherlands;5. Department of Mechanical Engineering, University of Manitoba, Winnipeg, R3T 5V6, Canada;1. Institute of Internet of Things and Logistics Engineering, Jinan University, Zhuhai, 519070, China;2. School of Intelligent Systems Science and Engineering, Jinan University, Zhuhai, 519070, China;3. GREE Electric Appliances, INC. of Zhuhai, Zhuhai, 519070, China;4. Science and Technology on Reliability Physics and Application of Electronic Component Laboratory, The Fifth Electronics Research Institute of Ministry of Industry and Information Technology, Guangzhou, 510610, China;1. Macau Institute of Systems Engineering, Macau University of Science and Technology, Macau, China;2. Institute of Physical Internet, Jinan University (Zhuhai Campus), Zhuhai 519070, China;3. School of Intelligent Systems Science and Engineering, Jinan University (Zhuhai Campus), Zhuhai 519070, China;4. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, China;5. Institute of the Belt and Road & Guangdong-Hong Kong-Macao Greater Bay Area, Jinan University, Guangzhou 510632, China |
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| Abstract: | Digital twin (DT) is a virtual mirror (representation) of a physical world or a system along its lifecycle. As for a complex discrete manufacturing system (DMS), it is a digital model for emulating or reproducing the functions or actions of a real manufacturing system by giving the system simulation information or directly driven by a real system with proper connections between the DT model and the real-world system. It is a key building block for smart factory and manufacturing under the Industry 4.0 paradigm. The key research question is how to effectively create a DT model during the design stage of a complex manufacturing system and to make it usable throughout the system’s lifecycle such as the production stage. Given that there are some existing discussions on DT framework development, this paper focuses on the modeling methods for rapidly creating a virtual model and the connection implementation mechanism between a physical world production system at a workshop level and its mirrored virtual model. To reach above goals, in this paper, the discrete event system (DES) modeling theory is applied to the three-dimension DT model. First, for formally representing a manufacturing system and creating its virtual model, seven basic elements: controller, executor, processor, buffer, flowing entity, virtual service node and logistics path of a DMS have been identified and the concept of the logistics path network and the service cell is introduced to uniformly describe a manufacturing system. Second, for implementing interconnection and interaction, a new interconnection and data interaction mechanism between the physical system and its virtual model for through-life applications has been designed. With them, each service cell consists of seven elements and encapsulates input/output information and control logic. All the discrete cells are constructed and mapped onto different production-process-oriented digital manufacturing modules by integrating logical, geometric and data models. As a result, the virtual-physical connection is realized to form a DT model. The proposed virtual modeling method and the associated connection mechanism have been applied to a real-world workshop DT to demonstrate its practicality and usefulness. |
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| Keywords: | Digital twin Cyber-physical system Discrete event system modeling theory Virtual-physical connection |
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