Abstract: An intelligent control system for rice processing equipment based on PLC and cloud platform has been designed．Through a hierarchical control architecture, system achieves real-time control, data preprocessing, and process optimization．In this system, PLC is responsible for real-time data acquisition, while cloud platform integrates IoT and machine learning technologies to enanle remote monitoring, fault prediction, and energy efficiency optimization．Test results have shown that intelligent control system controls fluctuations range of temperature control accuracy within ±1.2 °C, improving by 65.7% compared to traditional systems．Rotational speed fluctuation rates is stabilized at 0.7%．System's fault prediction accuracy reaches 92.5%, and energy efficiency is enhanced with a 10.6% reduction in electricity consumption per metric ton．This intelligent control system significantly improves production efficiency and equipment stability, providing effective technical support for intelligent upgrading of rice processing industry．