Abstract

This paper presents a real-time mobile-based Digital Twin system for Cyber-Physical Systems (CPS) visualization using cloud-based technologies. The proposed system replaces traditional hardware-dependent monitoring solutions with a simulation-driven architecture, enabling real-time data generation and visualization without physical sensors. A scalable backend is implemented using Firebase real-time Database to achieve low-latency data synchronization between the simulation module and the mobile application. The system ensures continuous data consistency through real-time cloud updates and an event-driven architecture, allowing seamless bidirectional communication between the virtual model and the user interface. The mobile application, developed using modern frameworks, provides interactive dashboards, graphical visualization, and system status monitoring for enhanced user understanding. The proposed approach improves accessibility, reduces infrastructure cost, and enhances scalability compared to conventional CPS monitoring systems. Experimental evaluation demonstrates efficient real-time synchronization with minimal delay, making the system suitable for academic, training, and lightweight industrial applications. In addition, the system demonstrates a flexible and extensible framework that can be adapted for various real-world applications such as smart monitoring, industrial automation, and educational simulations. The modular design allows easy integration of future enhancements, including IoT-based data acquisition and AI-driven analytics. By combining real-time visualization with a lightweight mobile interface, the proposed system provides a practical foundation for developing scalable Digital Twin solutions in resource-constrained environments.