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化工企業(yè)污水處理智能控制

發(fā)布時(shí)間:2019-01-06 17:29
【摘要】:化工污水處理與普通的生活污水處理有所不同,進(jìn)水主要為裝置廢水,流量較城市污水穩(wěn)定,水質(zhì)方面以煤粉氣化制氫為例,其進(jìn)水化學(xué)需氧量(COD)1000mg/L,(氨氮)(NH4)200mg/L是生活污水的三倍多,使用常規(guī)處理方法進(jìn)行處理,出水水質(zhì)較難達(dá)到國家標(biāo)準(zhǔn),因此在兩級缺氧好氧(A/O)高效除氮工藝下,僅僅靠一種復(fù)雜的智能控制算法針對工藝和控制指標(biāo)進(jìn)行一次性控制,不如把工藝控制和控制指標(biāo)的控制分開研究效果好。根據(jù)不同污水處理系統(tǒng)的發(fā)展適用特性,在分析活性污泥污水處理的內(nèi)在生化反應(yīng)機(jī)理的基礎(chǔ)上,對A/O工藝進(jìn)行分析,以國際水協(xié)(IAWQ)給出的活性污泥模型(ASM)模型為基礎(chǔ)建立數(shù)學(xué)模型進(jìn)行分析,進(jìn)而在工藝要求的控制范圍內(nèi),以節(jié)能和降低費(fèi)用為指標(biāo),以出水水質(zhì)為約束條件,得出溶解氧為1.6mg/L的最優(yōu)結(jié)果。同時(shí)在最優(yōu)控制指標(biāo)的基礎(chǔ)上,針對溶解氧的控制存在不確定性、大滯后性等特點(diǎn),分析了模糊控制策略,并設(shè)計(jì)了增量式模糊PID,通過MATLAB仿真比較了PID和模糊PID控制效果,確定其更強(qiáng)的魯棒性。最后根據(jù)實(shí)際工程要求,以PLC為基礎(chǔ)設(shè)計(jì)了基于TCP/IP協(xié)議通訊的智能控制系統(tǒng)。在系統(tǒng)下位機(jī)中根據(jù)已經(jīng)建立的模糊表實(shí)現(xiàn)了增量式模糊PID的程序化,在上位機(jī)中通過組態(tài)軟件Win CC(Windows Control Center)實(shí)現(xiàn)了監(jiān)控系統(tǒng),以及相關(guān)的報(bào)表系統(tǒng)。最終完成污水處理控制系統(tǒng)。系統(tǒng)最終在南京某化工企業(yè)污水廠中得以實(shí)施調(diào)試,通過現(xiàn)場調(diào)試,系統(tǒng)邏輯控制實(shí)現(xiàn),通過模糊PID控制的流量、溶解氧等參數(shù)控制效果較好。系統(tǒng)自動化程度得到提高。
[Abstract]:The chemical wastewater treatment is different from the ordinary domestic sewage treatment. The main influent is plant wastewater, and the flow rate is more stable than that of the urban sewage. In the aspect of water quality, taking pulverized coal gasification for hydrogen production as an example, the influent chemical oxygen demand (COD) is 1000mg / L. (ammonia nitrogen) (NH4) 200mg/L is more than three times that of domestic sewage. The effluent quality is difficult to reach the national standard when conventional treatment method is used. Therefore, under the two-stage anoxic aerobic (A- / O) high efficiency nitrogen removal process, It is better to separate the process control from the control index by using a complex intelligent control algorithm to control the process and the control index at one time. According to the characteristics of development and application of different sewage treatment systems and on the basis of analyzing the internal biochemical reaction mechanism of activated sludge sewage treatment, the A- / O process is analyzed. Based on the (ASM) model of activated sludge model given by the International Water Association (IAWQ), the mathematical model is established and analyzed. Furthermore, within the control range of process requirements, energy saving and cost reduction are taken as the index and the effluent quality is taken as the constraint condition. The optimal result that dissolved oxygen is 1.6mg/L is obtained. At the same time, on the basis of the optimal control index, the fuzzy control strategy is analyzed in view of the uncertainty and lag in the control of dissolved oxygen, and the incremental fuzzy PID, is designed to compare the control effect of PID and fuzzy PID through MATLAB simulation. Determine its stronger robustness. Finally, according to the actual engineering requirements, an intelligent control system based on TCP/IP protocol communication is designed based on PLC. The incremental fuzzy PID is programmed according to the established fuzzy table in the lower computer of the system, and the monitoring system and the related report system are realized by the configuration software Win CC (Windows Control Center) in the upper computer. Finally, the sewage treatment control system is completed. Finally, the system can be debugged in a chemical plant in Nanjing. Through the field debugging, the system logic control is realized, and the flow rate, dissolved oxygen and other parameters are controlled by fuzzy PID. The degree of system automation has been improved.
【學(xué)位授予單位】:江蘇科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:X78;TP273

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 劉載文;張春芝;王小藝;薛福霞;程志強(qiáng);;基于遺傳算法的污水處理過程優(yōu)化控制方法[J];計(jì)算機(jī)與應(yīng)用化學(xué);2007年07期

2 張平;苑明哲;王宏;;前置反硝化污水生化處理過程優(yōu)化控制[J];信息與控制;2008年01期

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