【作者】 陈林；

【导师】 潘丰；

【作者基本信息】 江南大学 ， 控制理论与控制工程， 2008， 硕士

【摘要】 随着工业技术的发展,有机废气污染越来越严重,同时也是对资源的一种浪费。为了保证我国经济的可持续发展,同时也为了合理利用资源,有机溶剂回收已经成为城市发展中不可缺少的配套措施。近年来,国家对空气环境保护意识不断增强,对有机溶剂回收过程自动化程度要求不断提高,利用先进的控制技术和设备对有机溶剂回收过程进行监控是满足上述要求的最有效手段。同时,由于有机溶剂回收过程的吸附和脱附数学模型均较为复杂,求解非常困难,很难应用到实际控制当中去。因此对有机溶剂回收过程进行建模的研究有非常重要的意义。本文以某印染公司涂层布生产为背景,分析了有机溶剂回收工艺流程、工艺特点,根据现场设备及控制对象的特点进行了控制系统的开发,设计开发了一套基于PLC、工业以太网、Profibus总线技术和Internet网络的有机溶剂回收自控系统。系统实现了对设备运行的自动控制、过程参数的采集与监视、数据的分析与处理、核心控制设备的远程监视。控制系统的设计分为四个部分:1) PLC程序设计:根据有机溶剂回收工艺和用户控制要求,针对有机溶剂回收过程各个被控节点的特点,在PLC控制程序设计中采用了不同的控制策略,确保系统安全、稳定、高效地运行。2)上位机程序设计:在InTouch9.5环境下开发的应用程序作为有机溶剂回收控制系统的监控软件,通过与下位机PLC的数据通讯,提供了简易、直观的用户操作界面,方便了对有机溶剂回收过程的监控。3)远程监视程序设计:根据客户要求,设计一套远程监视系统,实现远程监视有机溶剂回收控制系统主要设备的运行状态、远程监视下位机PLC运行状态、远程接收警报等功能,突破了对有机溶剂回收过程监视的地域界限。采用基于支持向量机理论的建模方法,对有机溶剂回收过程建立预测模型。针对支持向量机参数的选择问题,采用量子粒子群优化算法对支持向量机建模过程中重要参数进行优化调整。利用建立的模型对吸附浓度和脱附浓度进行预测,得到合理的吸附时间和脱附时间值,控制系统运行时及时调整这两个值。实现结果表明,通过该方法能提高废气净化率和有机溶剂回收率。更多还原

【Abstract】 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.更多还原