The work aims to propose a control strategy more suitable for drying object to optimize the control effect aiming at the problem that the control parameters of drying system are time-delayed, nonlinear and difficult to control. The working principle of water-based glazing machine drying system was analyzed to establish a drying model including factors such as printing speed and air supply, construct a simulation platform for the drying system of the glazing machine, and design Smith-PID algorithm suitable for the time-delayed controlled parameters. According to the drying requirements of water-based glazing oil, a drying hardware system with S7-1500 as the control core and carbon heating plate as heat source was designed, and a PLC temperature control program was developed by the model-based design method. The Smith prediction algorithm was introduced into the glazing drying system to make the temperature parameter of the drying system reach an overshoot of 0, without steady state error, which greatly reduced the adjustment time compared to PID control. The model design method was used to design and realize the PLC-based drying control system, which was applied to the water-based glazing process based on heat source of carbon materials. Smith prediction algorithm is suitable for glazing machine drying system with delay factor. The introduction of advanced model-based design methods in the field of printing and drying can improve the efficiency and safety of system development, and facilitate the research and development of advanced control algorithms in the printing and packaging industry.