Data Acquisition System for Developing Digital Twin Solutions: A Practical Guide

This paper presents a Digital Twin implementation solution that integrates Internet of Things (IoT), cyber-physical systems (CPS) and data models to monitor manufacturing processes and equipment. The core of this solution revolves around the effective combination of IoT and CPS to enable real-time data collection, analysis, and communication between physical and virtual entities. The IoT infrastructure plays a crucial role in connecting the physical components to their digital counterparts, enabling data exchange and analysis. Simultaneously, the cyber-physical system acts as the backbone of the Digital Twin, synchronizing the real and virtual environments and ensuring accurate representation and response. The solution emphasizes the importance of interoperability and modularity, allowing for easy integration with existing manufacturing systems and Industry 4.0 applications. The open architecture design promotes the scalability of the solution, making it suitable for various industries and applications, including but not limited to automotive, aerospace, and consumer electronics.