The core goal of the thin-plate tobacco drying process is to ensure the accuracy and stability of the moisture of the outlet tobacco by precisely controlling the parameters of the dryer. Traditional control methods mostly rely on manual experience, standard operating procedures (SOP) or simple PID control, and the lack of timeliness and adaptability in the control process under the condition of changing material physical properties or production environment, which can easily lead to large deviation and variance of moisture in outlet materials. Based on the fundamentals of physics and production process data of the cylinder type tobacco dryer, this paper uses the improved Transformer model to predict the moisture of the outlet material in 45 s through feature engineering, so as to provide a decision-making basis for the current timely control. The simulation and actual prediction results show that the model has good accuracy and stability, which can provide valuable prior information for the timely regulation of the drying process.
Tang et al. (Fri,) studied this question.