Abstract
This article presents the most valuable and applicable open-source tools and communication technologies that may be employed to create models of production processes by applying the concept of Digital Twins. In recent years, many open-source technologies, including tools and protocols, have been developed to create virtual models of production systems. The authors present the evolution and role of the Digital Twin concept as one of the key technologies for implementing the Industry 4.0 paradigm in automation and control. Based on the presented structured review of valuable open-source software dedicated to various phases and tasks that should be realised while creating the whole Digital Twin system, it was demonstrated that the available solutions cover all aspects. However, the dispersion, specialisation, and lack of integration cause this software to usually not be the first choice to implement DT. Therefore, to successfully create full-fledged models of Digital Twins by proceeding with proposed open-source solutions, it is necessary to make additional efforts due to integration requirements.
Highlights
Digital transformation of manufacturing processes and production management is experiencing the influence of the development of flexible manufacturing systems by applying advanced information and communication technologies (ICT) in production automation [1]
These innovations shape a new paradigm of production systems, which is known as the Industry 4.0
The analysis considers the compliance criterion of the analysed software with technologies used in the industry
Summary
Digital transformation of manufacturing processes and production management is experiencing the influence of the development of flexible manufacturing systems by applying advanced information and communication technologies (ICT) in production automation [1]. These innovations shape a new paradigm of production systems, which is known as the Industry 4.0 The production organisation following the I4.0 framework can be considered as the information-driven flow of the workpieces machine-by-machine in a workshop floor, supported by real-time communication between machines and the manufacturing execution system (MES). By integrating the computational (cyber) world and physical world, CPS can bring autonomous control, self-awareness, and self-management capabilities to industrial machines. Industry evolutionary systems developed manufacturing planning and control systems [4]:
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