Objective: To solve the problem of unstable rice output quality caused by the lack of information exchange and coordinated control between equipment in the rice processing system. Methods: Based on the industrial internet of things technology, a five-layer architecture of the rice processing system was constructed, and the solutions to the technical problems existing in the network layer, decision layer and control layer of the architecture were proposed for the corresponding layer problems such as the wireless sensor network model based on machine vision, the fuzzy self-tuning control model based on differential evolutionary algorithm and the rubber roller synchronization control method of the huller. The hardware and software of the system were designed, the actual transformation of the hulling and milling section was carried out, and then early indica rice grains were selected for processing tests. Results: Compared with the traditional processing, the improved rice processing system increased the browning rate about 1%, the whole fine rice rate by about 1%, and the production energy consumption is reduced about 15%. Conclusion: The researched rice processing system based on IOT technology has implications for improving the intelligent transformation of process processing systems such as rice processing.