In order to solve the problem that the control effect of the traditional PID control is not ideal, the performance is poor and it is difficult to meet the requirements of the accuracy of the system, an adaptive PID control algorithm based on fuzzy neural network is proposed to control the system. The fuzzy neural PID controller is constructed by using Labview to dynamically control the temperature of the loop controlled air entraining system. The simulation research is carried out, and the control strategy is compared with the classical PID control. The results show that the PID control algorithm based on fuzzy neural network is less than the classical PID in the overshoot and regulation time of the system, and can improve the rapidity and accuracy of the system, and improve the system characteristics.