Cement production is a hot air system. On the one hand, there is a delay between each controlled quantity and the adjustment quantity that affects it. Using PID control alone can not achieve the controlled quantity to be stable in the set range, which affects the qualified rate of production. On the other hand, in the process of cement clinker firing, all kinds of parameters are adjusted manually, which requires high technical level and high working efficiency of personnel Large quantity often affects the actual control effect.

The "intelligent control system of rotary kiln" independently developed by Nanjing Hengzhi Automation System Co., Ltd. is a multi loop and multi node multi control system based on Smith predictive control principle, using artificial neural network model as predictive model and integrating fuzzy control technology and expert system technology. It takes the whole rotary kiln system as the control object, refers to the values and changes of various monitoring parameters, macro analyzes and judges the situation of the whole rotary kiln system comprehensively, and then makes reasonable adjustment to the adjustment amount. Because it combines the operation experience of the operator, and the historical data of the kiln system are analyzed and summarized into the control. Therefore, its control is very targeted, and because it adopts multiple control mode, it makes up for the one sidedness of single loop control.