According to the pellet cooling process and data analysis technology, the optimal temperature and pressure control range of each cooling section in pellet production are determined, the fuzzy PID technology is used to formulate control strategy, to design fuzzy controller and to establish priority push mechanism. Finally, the pellet cooling control model is constructed. After debugging and improvement in production and subsequent data tracking, the model shows good intelligence under different production conditions, which can ensure the optimal performance of pellet, rapid adjustment and smooth operation of the system, and solve such problems as untimely manual adjustment and low precision, as well as the nonlinear control of unsteady heat conduction model, large delay and large lag in pellet cooling process with time and production. In the case of continuous production, the temperature accuracy of each cooling link reaches 98%, and the compressive strength reaches 97.31% in the range of 2 300 ~ 2 700 N/P.