2024 | Raúl González-Herbón, Guzmán González-Mateos, José R. Rodríguez-Ossorio, Manuel Domínguez, Serafín Alonso and Juan J. Fuertes
This paper presents a method for developing digital twins in industrial environments, emphasizing the integration of multiple enabling technologies of Industry 4.0. The authors propose a methodology that includes defining the functionality of the model, acquiring and importing a 3D model of the system, integrating augmented reality capabilities, establishing a communication system, and selecting a data storage and processing system. The proposed method is applied to develop a digital twin for a robotic electro-pneumatic cell, demonstrating its effectiveness in providing a realistic and interactive environment for monitoring and improving industrial processes. The digital twin features real-time interaction, dynamic visualization, and data-driven insights, enhancing process control, problem resolution, and overall efficiency. The paper also discusses the advantages and limitations of the proposed methodology and suggests future improvements, such as advanced cybersecurity analysis and broader applicability to larger industrial systems.This paper presents a method for developing digital twins in industrial environments, emphasizing the integration of multiple enabling technologies of Industry 4.0. The authors propose a methodology that includes defining the functionality of the model, acquiring and importing a 3D model of the system, integrating augmented reality capabilities, establishing a communication system, and selecting a data storage and processing system. The proposed method is applied to develop a digital twin for a robotic electro-pneumatic cell, demonstrating its effectiveness in providing a realistic and interactive environment for monitoring and improving industrial processes. The digital twin features real-time interaction, dynamic visualization, and data-driven insights, enhancing process control, problem resolution, and overall efficiency. The paper also discusses the advantages and limitations of the proposed methodology and suggests future improvements, such as advanced cybersecurity analysis and broader applicability to larger industrial systems.