Abstract: The present disclosure provides a method and device for cooperative control of rice hulling and rice polishing, and a storage medium. The method includes: acquiring operation data of a rice huller during a rice hulling process; acquiring operation data of a rice polisher during a rice polishing process; acquiring real-time detection data of rice samples after rice hulling and rice polishing; establishing, an energy consumption prediction model and a broken rice rate prediction model via a neural network and in combination with the operation data of a rice huller and the operation data of a rice polisher; based on a machine learning algorithm, and in combination with the energy consumption prediction model, the broken rice rate prediction model and the real-time detection data, acquiring an optimized process parameter set; and controlling rice processing in real time according to the optimized process parameter set.

Abstract: The present disclosure provides a method and device for cooperative control of rice hulling and rice polishing, and a storage medium. The method includes: acquiring operation data of a rice huller during a rice hulling process; acquiring operation data of a rice polisher during a rice polishing process; acquiring real-time detection data of rice samples after rice hulling and rice polishing; establishing, an energy consumption prediction model and a broken rice rate prediction model via a neural network and in combination with the operation data of a rice huller and the operation data of a rice polisher; based on a machine learning algorithm, and in combination with the energy consumption prediction model, the broken rice rate prediction model and the real-time detection data, acquiring an optimized process parameter set; and controlling rice processing in real time according to the optimized process parameter set.