Cloud Data Acquisition for Industrial Baking Processes via OPC UA with AWS IoT SiteWise: Exploring Machine Learning Algorithms and Future SCADA Integration

This work presents a cloud based data acquisition architecture for industrial baking processes. Data are collected via OPC UA from a PLC that controls five Fanuc robots operating in conveyor tracking mode. The collected data are sent to AWS IoT SiteWise for storage and monitoring. A simple AI algorithm is developed as an example to demonstrate how machine learning could be applied to control the proofing process. While the algorithm is only a conceptual demonstration, the study explores how such models could be integrated with SCADA systems in future implementations. The focus is on data interoperability, reliability of cloud-based communication, and compliance with industrial standards.