Abstract: The setting of cylinder wall temperature significantly influences the moisture content in output cut strip, therefore a method for predicting cylinder wall temperature was proposed based on cloud model. The results of analyzing the relationships between key parameters in cut strip drying demonstrated that, the dehydration amount and negative pressure in moisture exhaust hood were the key factors influencing cylinder wall temperature. By clustering the cylinder wall temperatures with cluster analysis, a qualitative reasoning rule of cloud model was obtained, and a two-dimensional multi-rule prediction model for cylinder wall temperature was established. The model was validated with the selected online monitoring sample data. The results showed that, the prediction error of the model was less than 0.7%, which satisfied the requirement for prediction precision. The established model could set the dehydration amount and cylinder wall temperature of cut strip drier precisely, it effectively improves the stability of technical parameters in cut strip drying.