本文關(guān)鍵詞：污水廠曝氣系統(tǒng)的優(yōu)化控制研究　出處：《昆明理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 溶解氧 軟測(cè)量 模糊PID 神經(jīng)網(wǎng)絡(luò)

【摘要】：我國(guó)是一個(gè)工業(yè)相對(duì)發(fā)達(dá)的國(guó)家,工業(yè)發(fā)展的迅速,必然會(huì)導(dǎo)致環(huán)境污染的加劇,其中水污染逐漸成為人們比較關(guān)注的話題。自然而然污水處理受到了高度的重視。我國(guó)污水處理的自動(dòng)化水平相對(duì)而言較低,大多數(shù)還處在人工現(xiàn)場(chǎng)操作階段,或者是通過(guò)工控軟件遠(yuǎn)程點(diǎn)動(dòng)的操作的方式上。自動(dòng)化程度高一些的污水廠,無(wú)非也是采取一些簡(jiǎn)單的PI控制,或者傳統(tǒng)的PID控制方式,這樣雖然效率有所提高,但還是取得不了很好的控制效果。同樣造成大量的浪費(fèi),整個(gè)污水廠的運(yùn)行成本沒(méi)有顯著的下降。在整個(gè)污水處理系統(tǒng)中,曝氣系統(tǒng)是其中一個(gè)非常重要的環(huán)節(jié),它的能耗占整個(gè)污水處理系統(tǒng)的一半以上,并且對(duì)出水的水質(zhì)起到了關(guān)鍵的作用。所以,曝氣系統(tǒng)模型的精確建立并加以先進(jìn)的控制算法,可以很好的提高整個(gè)污水系統(tǒng)的運(yùn)行效率,降低運(yùn)行成本。本文針對(duì)北京某污水廠的智能曝氣控制系統(tǒng)改造項(xiàng)目,并結(jié)合污水廠的工藝流程及控制方式進(jìn)行分析。選用溶解氧DO做為系統(tǒng)的的被控參數(shù)。但污水處理過(guò)程相當(dāng)復(fù)雜,具有參數(shù)時(shí)變,非線性,滯后性等特點(diǎn)。所以很難精確的建立溶解氧DO的機(jī)理模型。因此我們選用溶解氧DO為主導(dǎo)變量,并選用一些其它與其相關(guān)性高且易于獲取的數(shù)據(jù)作為輔助變量,再結(jié)合神經(jīng)網(wǎng)絡(luò)來(lái)建立溶解氧的軟測(cè)量模型,得到精度較高的軟測(cè)量模型。針對(duì)傳統(tǒng)PID控制方式很難取得滿意效果的問(wèn)題,對(duì)其加以模糊控制算法,并在MATLAB平臺(tái)下進(jìn)行了仿真,取得相對(duì)較好的控制效果。最終我們結(jié)合實(shí)際工程改造。將模糊控制規(guī)則加在西門(mén)子300PLC程序當(dāng)中,并結(jié)合PLC當(dāng)中自帶的PID塊,對(duì)溶解氧進(jìn)行控制,通過(guò)改造前后溶解氧曲線的對(duì)比得出了,明顯看出改造之后的效果明顯優(yōu)于之前的控制方式。而且觀察優(yōu)化前后的鼓風(fēng)機(jī)房耗電量的多少,可以看到確實(shí)取得了節(jié)能的效果。
[Abstract]:China is a country with relatively developed industry. The rapid development of industry will inevitably lead to the aggravation of environmental pollution. Water pollution has gradually become a topic of concern. Natural sewage treatment has been highly valued. The automation level of sewage treatment in China is relatively low, and most of them are still in the stage of artificial field operation. Or through the industrial control software remote point operation mode. Higher degree of automation of sewage plants, but also take some simple Pi control, or the traditional PID control mode. Although the efficiency has been improved, but still can not achieve a good control effect. Also caused a lot of waste, the entire sewage treatment plant operating costs have not significantly decreased. In the entire sewage treatment system. Aeration system is one of the most important links, its energy consumption accounts for more than half of the total sewage treatment system, and it plays a key role in the quality of effluent. The accurate establishment of aeration system model and advanced control algorithm can improve the operation efficiency of the whole sewage system. This paper aims at the renovation project of intelligent aeration control system in a sewage treatment plant in Beijing. The dissolved oxygen do is selected as the controlled parameter of the system, but the process of sewage treatment is quite complex, with time-varying parameters and nonlinear. Therefore, it is difficult to establish the mechanism model of do precisely. So we choose do as the leading variable. Some other data which are highly relevant and easy to obtain are selected as auxiliary variables, and then the soft-sensing model of dissolved oxygen is established by combining neural network. To solve the problem that the traditional PID control method is difficult to achieve satisfactory results, fuzzy control algorithm is applied to the model, and the simulation is carried out on the MATLAB platform. Finally, we combined with the actual engineering transformation. The fuzzy control rules are added to Siemens 300 PLC program, and combined with the PID block in PLC. Through the contrast of the dissolved oxygen curve before and after the transformation, it is obvious that the effect of the transformation is better than that of the previous control mode, and the power consumption of the blower room before and after optimization is observed. It can be seen that the effect of energy saving has been achieved.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：X703;TP273

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本文編號(hào)：1437632