本文選題：動態(tài)模擬 + 過程監(jiān)測　； 參考：《華南理工大學》2015年碩士論文

【摘要】：化工過程工藝復雜,生產(chǎn)條件苛刻、過程中涉及到多種易燃易爆、有毒有害和腐蝕性等的物料,裝置設(shè)備存在泄漏中毒,集中爆炸,引起火災(zāi)的隱患。對于越來越大型化、連續(xù)化和園區(qū)化的化工企業(yè),安全問題更加重要,任何一個企業(yè)都不能忽視安全管理的重要性,否則,就有可能出現(xiàn)火災(zāi)、爆炸、泄露等事件,對生產(chǎn)和設(shè)備的運行造成影響,嚴重的事故甚至危害員工性命,破壞環(huán)境,給工廠帶來巨大的經(jīng)濟損失。為了減少和避免化工事故的發(fā)生,需要對化工過程進行監(jiān)測。本文針對基于機理模型的化工過程監(jiān)測技術(shù)存在建模工作量大、建模周期長、模型精度低、通用性差等問題,提出了使用現(xiàn)有通用的化工流程模擬軟件來建立動態(tài)模型。該監(jiān)測技術(shù)的使用方法主要包括:穩(wěn)態(tài)模型的建立、動態(tài)模型的建立、控制點的添加和調(diào)整、輸入?yún)?shù)和監(jiān)測參數(shù)的選擇、Simulink對Aspen Dynamics的調(diào)用。本文將該監(jiān)測方法應(yīng)用于仿真案例甲醇水耦合精餾過程和實際案例環(huán)己烷富氧氧化生產(chǎn)環(huán)己酮工藝的烷精餾工段,檢驗了該監(jiān)測方法的可行性及效果,結(jié)果表明其可以實現(xiàn)對存在生產(chǎn)計劃變更過程的故障監(jiān)測和無生產(chǎn)計劃變更過程中故障的監(jiān)測,在對存在生產(chǎn)計劃變更的化工過程的監(jiān)測具有重大意義。與Simulink仿真工具箱相結(jié)合用于過程監(jiān)測的基于流程模擬的化工過程監(jiān)測技術(shù),Aspen Dynamics能夠快速建立精確的動態(tài)模型,具有完善的物性數(shù)據(jù)庫,同時可以方便的根據(jù)實際化工過程對模型進行調(diào)整,使用Simulink仿真工具箱可以實時采集數(shù)據(jù)作為模型輸入,同時完成對數(shù)據(jù)的必要處理,方便的實現(xiàn)與基于知識和基于數(shù)據(jù)的化工過程監(jiān)測技術(shù)的結(jié)合。最后將專家知識規(guī)則引入了該監(jiān)測方法中,通過設(shè)定合適的控制參數(shù),實現(xiàn)了對儀表運行狀態(tài)的監(jiān)測,有助于故障源的分離。
[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.
【學位授予單位】：華南理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TQ028

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本文編號：1952647