Abstract
This paper proposes a conceptual model of an IoT/M2M interaction system for designing a digital twin of key equipment in a robotized workshop. As a demonstration case, a production line is considered, equipped with an intelligent online monitoring and process parameter control system. The proposed architecture integrates IoT devices, sensors, and video analytics components to enable real-time data collection, transmission, and analysis. The digital twin concept makes it possible to simulate and predict equipment behavior, optimize heating control processes, and synchronize interactions between workshop components. Special attention is given to implementing M2M communication, ensuring reliable connectivity between the cabinet oven, robotic delivery modules, and other elements of the production line. The paper describes only the model and architectural principles, emphasizing its role as a starting point for further research and prototyping. The proposed approach demonstrates the benefits of integrating IoT, M2M, and digital twins to increase energy efficiency, automate processes, and advance smart manufacturing in the food industry.