基于流程模拟的化工过程监测技术在分离过程中的应用

发布时间：2018-05-29 22:15

本文选题：动态模拟 + 过程监测　；参考：《华南理工大学》2015年硕士论文

【摘要】：化工过程工艺复杂,生产条件苛刻、过程中涉及到多种易燃易爆、有毒有害和腐蚀性等的物料,装置设备存在泄漏中毒,集中爆炸,引起火灾的隐患。对于越来越大型化、连续化和园区化的化工企业,安全问题更加重要,任何一个企业都不能忽视安全管理的重要性,否则,就有可能出现火灾、爆炸、泄露等事件,对生产和设备的运行造成影响,严重的事故甚至危害员工性命,破坏环境,给工厂带来巨大的经济损失。为了减少和避免化工事故的发生,需要对化工过程进行监测。本文针对基于机理模型的化工过程监测技术存在建模工作量大、建模周期长、模型精度低、通用性差等问题,提出了使用现有通用的化工流程模拟软件来建立动态模型。该监测技术的使用方法主要包括:稳态模型的建立、动态模型的建立、控制点的添加和调整、输入参数和监测参数的选择、Simulink对Aspen Dynamics的调用。本文将该监测方法应用于仿真案例甲醇水耦合精馏过程和实际案例环己烷富氧氧化生产环己酮工艺的烷精馏工段,检验了该监测方法的可行性及效果,结果表明其可以实现对存在生产计划变更过程的故障监测和无生产计划变更过程中故障的监测,在对存在生产计划变更的化工过程的监测具有重大意义。与Simulink仿真工具箱相结合用于过程监测的基于流程模拟的化工过程监测技术,Aspen Dynamics能够快速建立精确的动态模型,具有完善的物性数据库,同时可以方便的根据实际化工过程对模型进行调整,使用Simulink仿真工具箱可以实时采集数据作为模型输入,同时完成对数据的必要处理,方便的实现与基于知识和基于数据的化工过程监测技术的结合。最后将专家知识规则引入了该监测方法中,通过设定合适的控制参数,实现了对仪表运行状态的监测,有助于故障源的分离。
[Abstract]:The chemical process is complicated, and the production conditions are harsh. In the process, many kinds of flammable, explosive, toxic and corrosive materials are involved in the process. The equipment of the plant has leakage and poisoning, concentrated explosion, which causes the hidden danger of fire. For more and more large-scale, continuous and park chemical enterprises, safety issues are even more important. No enterprise can ignore the importance of safety management. Otherwise, there may be incidents such as fire, explosion, leakage, etc. It affects the operation of production and equipment, serious accidents even endanger the lives of employees, damage the environment, and bring huge economic losses to the factory. In order to reduce and avoid the occurrence of chemical accidents, it is necessary to monitor the chemical process. In order to solve the problems of heavy workload, long modeling period, low precision and poor generality of chemical process monitoring technology based on mechanism model, this paper puts forward the use of existing chemical process simulation software to establish dynamic model. The application method of this monitoring technique mainly includes the establishment of steady state model, the establishment of dynamic model, the addition and adjustment of control points, the selection of input and monitoring parameters and the call of Aspen Dynamics by Simulink. In this paper, the monitoring method is applied to the simulation of methanol water coupled distillation process and to the actual cases of cyclohexane oxygen-enriched oxidation of cyclohexanone production process of the alkane distillation section, the feasibility and effectiveness of the monitoring method has been tested. The results show that it can realize the failure monitoring in the process of production plan change and in the process of no change of production plan, which is of great significance to the monitoring of chemical process with the change of production plan. Combined with Simulink simulation toolbox, the chemical process monitoring technology based on process simulation, Aspen Dynamics, can quickly set up accurate dynamic model and has perfect physical property database. At the same time, the model can be adjusted conveniently according to the actual chemical process, and the data can be collected as model input in real time by using Simulink simulation toolbox, and the necessary processing of the data can be completed at the same time. The convenient implementation is combined with the chemical process monitoring technology based on knowledge and data. Finally, the expert knowledge rule is introduced into the monitoring method. By setting appropriate control parameters, the monitoring of the running state of the instrument is realized, which is helpful to the separation of the fault source.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TQ028

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