Modular Framework for Digital Twins: Development and Performance Analysis

• Published in: Journal of control, automation & electrical systems Vol. 32; no. 6; pp. 1485 - 1497
• Main Authors: Rolle, Rodrigo P., Martucci, Vinícius de O., Godoy, Eduardo P.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01-12-2021; Springer Nature B.V
• Subjects: Control; Control and Systems Theory; Data analysis; Digital twins; Electrical Engineering; Engineering; Environment models; Mechatronics; Modules; Performance enhancement; Process controls; Robotics; Robotics and Automation; Software; Three dimensional models; Cyber-physical systems; Industry 4.0; Digital twins; Advanced manufacturing
• ISSN: 2195-3880; 2195-3899
• DOI: 10.1007/s40313-021-00830-w

The evolution of computing science and simulation tools led to the usage of virtualization in the industrial environment. Software models became relevant information providers for the evaluation of automation processes. Digital twins (DT) are an approach for intercommunicating physical and virtual systems. DTs are intended to improve the performance of real systems by using information generated on a virtual system (“twin”) that mirrors the behavior of physical parts. This work presents a distributed framework for DT implementation, which is composed of five integrated modules. The modules’ functions are process control , logical modeling, 3D visualization and data analysis. This paper presents the implementation and performance analysis of the DT framework. A discussion about its potentials and limitations is presented as well. The analysis focuses on timing and communication latency among the DT modules. A case study implementation, composed of the DTs of two manufacturing processes, is presented to validate the operation and to provide data for performance analysis of the DT framework.