The Control System Design And Research On Modeling Of Organic Solvent Recovery

With quick development of the industrial technology, the pollution of organic exhaust gas is more and more serious, meantime it is a waste of resource.For the continuous development of our country's economy and utilizing resource reasonably, organic solvent rec- -overy have played an important role. Recently, nation pay attention to air protecting project, demand more technology in organic solvent recovery control system, using high technology control strategy and more advanced devices in surveillance & control system is the best way to fix the demands. At the same time, the math models of adsorption and desorption during organic solvent recovery process are all complex and very difficult to solve, so it is hard to apply them to practice. The modeling research of organic solvent recovery is very important now.This project is based on printing and dyeing plant,illustrate process of organic solvent recovery, according to the controller devices and user's demands, designed a control system. Control system design had three parts included:PLC programming design: According to control system design aims, PLC programming respectively on different control nodes, make the control system run under a stable, safe, efficient state.Upper PC surveillance design: Developed the supervision interface of organic solvent recovery with InTouch9.5, implement the communication with PLC, provide a more convenient interface of operation between operator and system.Remote surveillance system design: Design a remote supervision system for organic solvent recovery control system; supervise the running state of key control devices, PLC, remote alarm model. Break the limit of geography.Method of SVM was put forward to the modeling and forecasting for organic solvent recovery. Aiming at problem of parameter selection, the method was put forward to optimize the parameters during the process of SVM modeling by using quantum delta particle swarm optimization algorithm which had better search ability. When the model was obtained, the reasonable adsorption time and desorption time were obtained via forecast of adsorption and desorption concentration. The time parameter was set when control system was running, the result indicated that excellent purge rate of exhaust gas and satisfactory capacity of organic solvent recovery was obtained by the method above.