Based On The Design Of The LabVIEW Spray Drying Monitoring System With An Annual Output Of 40,000 Tons Of Soda Powder

Taking the annual production of 40,000 tons of soda ash as an example,the preparation process of soda ash is first discussed.After the spray drying technology is selected,the process design parameters and equipment dimensions are calculated according to the material and heat conservation laws.Through the simulation calculation using Aspen plus software,the sodium bicarbonate slurry and air were mass-transferred by cocurrent flow down in the spray drying tower to obtain a satisfactory soda ash product.Sensitivity analysis is then used to determine the effect of pump pressure,air temperature,and feed volume on product temperature,humidity,average diameter,and energy consumption,respectively.Comparison of temperature is a key factor affecting the spray drying process.Since the spray drying process has nonlinearity and large hysteresis,it is more difficult to establish an accurate mathematical model.So,it is proposed to establish a control strategy in MATLAB with the exhaust air temperature as the main control variable and the inlet air temperature as the secondary control variable.Three control systems are established in Simulink,which are cascade PID control,composite fuzzy PID control,compound fuzzy dual-loop cascade control with Smith predictor,and compare the simulation results of these three control systems.The composite fuzzy dual-loop cascade control system with Smith predictor has a small overshoot.In the three control processes,the interference points at the same position are respectively added.After comparison,the composite fuzzy double-loop cascade control system with Smith predictor recovers the stabilization process quickly and has good control quality,which is the spray drying temperature control.An effective method.With the rapid development of the automation level of industrial production technology,it has been difficult to meet the ideal control requirements of workers by using traditional instruments to control complex objects.The software-based chemical virtual instrument LabVIEW not only can quickly and accurately complete the collection of relevant data in the industrial production process,but also automatically analyze and process the data according to the display data to realize the automation of the chemical process.This paper uses the modeling advantages of Simulink in MATLAB and the advantages of virtual instrument technology LabVIEW in software and hardware platform and human-machine interface design.Based on LabVIEW software,the design of 40,000 tons/year soda powder spray drying monitoring system is completed.First,use the Simulation Interface Toolkit to complete the communication between LabVIEW and Simulink.In order to ensure the security of production data and technology,a login interface with the correct user name and password can be designed.After entering the correct user name and password,the process can be smoothly opened.Start the simulation,the data obtained by the process will be stored under the data processing module inside LabVIEW,and can be called according to the specified conditions;the simulation system also has a temperature alarm function,when the inlet and exhaust temperatures of the spray drying tower exceed When the highest alarm value is set,the light will flash and sound to remind the worker to prevent the accident;when the control result does not meet the ideal requirements or the automatic control system has problems,the staff can manually make the system Return to normal.Through the design of this monitoring system,the automatic control performance of spray drying can be improved,the production cost can be reduced,and the quality of the soda powder product can be ensured.