Data-Centric Approach to Digital Twin Modeling of Production Lines

• Published in: 东华大学学报（英文版） Vol. 40; no. 4; pp. 397 - 403
• Main Authors: DING Yongxiao, LI Jiqi, LIU Guohua, NI Ping, WU Jinfa
• Format: Journal Article
• Language: English
• Published: College of Computer Science and Technology,Donghua University,Shanghai 201620,China%College of Mechanical Engineering,Donghua University,Shanghai 201620,China 31.08.2023
• Subjects: ArtiFlow; production line; digital twin(DT); AutomationML(AML)
• ISSN: 1672-5220
• DOI: 10.19884/j.1672-5220.202201008

TP391.9; Digital twin(DT)is a virtual replica of a physical world that has become one of the most important ideas in the manufacturing industry's digital revolution.DT modeling is a vital issue in building a DT of a production line.In this paper,a method is proposed to address the difficulties of complicated production line business and data heterogeneity.The method focuses on essential data in the production line and creates conceptual and information models based on the ArtiFlow model and AutomationML(AML).Conceptual models are mainly used to describe and analyze the business activities of the production line,and information models describe real production lines in the form of XML files.The proposed modeling approach has been applied to a real-world clothing production line to demonstrate its feasibility and effectiveness.