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基于流程模擬的化工過程監(jiān)測(cè)技術(shù)在分離過程中的應(yīng)用

發(fā)布時(shí)間:2018-05-29 22:15

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


【摘要】:化工過程工藝復(fù)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(duì)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(gè)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(duì)生產(chǎn)和設(shè)備的運(yùn)行造成影響,嚴(yán)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(jì)損失。為了減少和避免化工事故的發(fā)生,需要對(duì)化工過程進(jìn)行監(jiān)測(cè)。本文針對(duì)基于機(jī)理模型的化工過程監(jiān)測(cè)技術(shù)存在建模工作量大、建模周期長(zhǎng)、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(dòng)態(tài)模型。該監(jiān)測(cè)技術(shù)的使用方法主要包括:穩(wěn)態(tài)模型的建立、動(dòng)態(tài)模型的建立、控制點(diǎn)的添加和調(diào)整、輸入?yún)?shù)和監(jiān)測(cè)參數(shù)的選擇、Simulink對(duì)Aspen Dynamics的調(diào)用。本文將該監(jiān)測(cè)方法應(yīng)用于仿真案例甲醇水耦合精餾過程和實(shí)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(yàn)了該監(jiān)測(cè)方法的可行性及效果,結(jié)果表明其可以實(shí)現(xiàn)對(duì)存在生產(chǎn)計(jì)劃變更過程的故障監(jiān)測(cè)和無生產(chǎn)計(jì)劃變更過程中故障的監(jiān)測(cè),在對(duì)存在生產(chǎn)計(jì)劃變更的化工過程的監(jiān)測(cè)具有重大意義。與Simulink仿真工具箱相結(jié)合用于過程監(jiān)測(cè)的基于流程模擬的化工過程監(jiān)測(cè)技術(shù),Aspen Dynamics能夠快速建立精確的動(dòng)態(tài)模型,具有完善的物性數(shù)據(jù)庫(kù),同時(shí)可以方便的根據(jù)實(shí)際化工過程對(duì)模型進(jìn)行調(diào)整,使用Simulink仿真工具箱可以實(shí)時(shí)采集數(shù)據(jù)作為模型輸入,同時(shí)完成對(duì)數(shù)據(jù)的必要處理,方便的實(shí)現(xiàn)與基于知識(shí)和基于數(shù)據(jù)的化工過程監(jiān)測(cè)技術(shù)的結(jié)合。最后將專家知識(shí)規(guī)則引入了該監(jiān)測(cè)方法中,通過設(shè)定合適的控制參數(shù),實(shí)現(xiàn)了對(duì)儀表運(yùn)行狀態(tài)的監(jiān)測(cè),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(xué)位授予單位】:華南理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TQ028

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