Data-Centric Approach to Digital Twin Modeling of Production Lines  

作　　者：丁永效 李纪奇 刘国华 倪萍 吴金发 DING Yongxiao;LI Jiqi;LIU Guohua;NI Ping;WU Jinfa(College of Computer Science and Technology,Donghua University,Shanghai 201620,China;College of Mechanical Engineering,Donghua University,Shanghai 201620,China)

机构地区：[1]College of Computer Science and Technology,Donghua University,Shanghai 201620,China [2]College of Mechanical Engineering,Donghua University,Shanghai 201620,China

出　　处：《Journal of Donghua University(English Edition)》2023年第4期397-403,共7页东华大学学报（英文版）

基　　金：Shanghai Foundation for Development of Industrial Internet Innovation,China (No. 2019-GYHLW-004)。

摘　　要：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.

关 键 词：digital twin(DT) ArtiFlow production line AutomationML(AML) 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]