本文選題：水泥生料質(zhì)量控制 + 成分檢測��； 參考：《濟(jì)南大學(xué)》2017年碩士論文

【摘要】：水泥是重要的建筑材料,水泥生料是生產(chǎn)水泥產(chǎn)品的基礎(chǔ),對水泥產(chǎn)品的質(zhì)量影響甚大。國內(nèi)大部分水泥企業(yè)依靠人工調(diào)節(jié)的方法生產(chǎn)水泥生料,這種調(diào)節(jié)方法準(zhǔn)確性低、實時性差,難以得到高質(zhì)量的水泥生料;實現(xiàn)水泥生料生產(chǎn)的自動化,提高水泥產(chǎn)品的質(zhì)量是一個亟待解決的重要課題。近紅外在線分析儀能夠?qū)崟r檢測水泥生料中各種氧化物的含量,有助于實現(xiàn)水泥生料生產(chǎn)的自動化。但水泥生料生產(chǎn)過程具有滯后、慣性、擾動多等特點,難以控制,研究水泥生料的質(zhì)量控制具有很大的意義。本課題以山東省內(nèi)某水泥有限公司5000t/d的水泥產(chǎn)品生產(chǎn)線為研究背景,依據(jù)水泥生料的生產(chǎn)工藝,結(jié)合近紅外在線分析儀及生產(chǎn)現(xiàn)場的情況,提出運用基于動態(tài)模型的預(yù)測控制調(diào)節(jié)方案和基于數(shù)學(xué)規(guī)劃關(guān)系式的修正質(zhì)量控制方案分別對不同的工況進(jìn)行調(diào)節(jié),改進(jìn)水泥生料質(zhì)量控制軟件,主要內(nèi)容如下:(1)水泥生料質(zhì)量預(yù)測控制模塊的開發(fā)。當(dāng)水泥生料三率值中的石灰飽和系數(shù)需要調(diào)整而另外兩個率值無需調(diào)整時,此時只需改變原材料石灰石和泥巖的配比便可達(dá)到調(diào)節(jié)目的。這種情況下原材料的配比只改變兩種,水泥生料中各氧化物的含量也主要改變兩種;由于本課題所在的水泥廠對石灰飽和系數(shù)非常重視,而且企業(yè)所用的石灰石化學(xué)成分不穩(wěn)定,需要頻繁的對石灰石配比進(jìn)行調(diào)節(jié),而且運用數(shù)學(xué)規(guī)劃關(guān)系式的調(diào)節(jié)效果不夠精準(zhǔn),但此種情況便于動態(tài)模型的辨識與使用。對此情況,本文將原材料配比的變化量作為輸入量,水泥生料中CaO和SiO2含量的變化量作為輸出量進(jìn)行模型辨識,并對模型進(jìn)行驗證;然后根據(jù)模型設(shè)計相應(yīng)的預(yù)測控制器,通過仿真確定必要參數(shù)。(2)水泥生料質(zhì)量修正控制模塊的開發(fā)。當(dāng)水泥生料三率值中的鐵率或硅率不合格時,需要調(diào)節(jié)原材料砂巖或鐵尾渣的配比才能達(dá)到調(diào)節(jié)目的。此種情況下輸入變量、輸出變量數(shù)量較多且變量間的耦合性很強(qiáng),精準(zhǔn)的動態(tài)模型難以建立;在本課題所依托的水泥企業(yè)中,鐵率或硅率一直比較穩(wěn)定,調(diào)節(jié)頻率很低,而且原材料砂巖和鐵尾渣的化學(xué)成分穩(wěn)定,通過數(shù)學(xué)規(guī)劃關(guān)系式便可確定配比變化量與生料中各氧化物含量的變化關(guān)系。本文運用數(shù)學(xué)規(guī)劃關(guān)系式結(jié)合專家規(guī)則對此種情況進(jìn)行控制,算是對生料質(zhì)量控制系統(tǒng)的修正控制。另外本文還提出基于最小二乘法原理對原材料成分進(jìn)行修正的方法。最后通過對控制方法仿真,得到控制效果良好的參數(shù)。(3)水泥生料質(zhì)量控制系統(tǒng)的實現(xiàn)。生產(chǎn)現(xiàn)場中,系統(tǒng)依據(jù)在線分析儀對實時數(shù)據(jù)進(jìn)行采集,通過OPC實現(xiàn)硬件系統(tǒng)與數(shù)據(jù)庫間的數(shù)據(jù)交互,利用水泥生料質(zhì)量控制軟件識別各種工況并對相應(yīng)的工況進(jìn)行調(diào)節(jié)。該系統(tǒng)能夠?qū)崿F(xiàn)水泥生料質(zhì)量控制的自動化,提高水泥生料的質(zhì)量。文中對階段性的生產(chǎn)數(shù)據(jù)進(jìn)行了統(tǒng)計與分析,分析結(jié)果表明水泥生料質(zhì)量控制系統(tǒng)能夠長時間穩(wěn)定自動運行且控制效果優(yōu)于人工控制效果。
[Abstract]:Cement is an important building material. The cement raw material is the foundation of the production of cement products. It has a great influence on the quality of the cement products. Most of the cement enterprises in China rely on manual regulation to produce cement raw material. This adjustment method is low in accuracy, poor in real time and difficult to get high quality cement raw material, and to realize the automatic production of cement. It is an important issue to improve the quality of cement products. The near infrared on-line analyzer can detect the content of various oxides in the cement raw material in real time, and help to realize the automation of the production of cement raw material. However, the production process of cement raw material has the characteristics of lag, inertia and many disturbances, so it is difficult to control the quality of cement raw material. Quantity control is of great significance. Based on the cement production line of a India Cements Limited 5000t/d in Shandong Province as the research background, based on the production technology of the raw material of cement, combined with the near infrared on-line analyzer and the situation of the production site, this paper puts forward the application of the dynamic model based pre test control and control scheme and the mathematical programming relationship. The modified quality control scheme is adjusted to different working conditions to improve the quality control software of cement raw material. The main contents are as follows: (1) the development of the prediction control module of cement raw material quality. When the lime saturation coefficient in the three ratio of cement raw material needs to be adjusted and the other two rate values need not be adjusted, only the raw lime should be changed at this time. The ratio of stone and mudstone can be adjusted. In this case, only two kinds of raw materials are changed, and the content of each oxide in the raw cement is changed mainly by two. Because the cement plant in this project attaches great importance to the lime saturation coefficient, and the chemical composition of the limestone used by the enterprise is unstable, and the limestone needs to be frequent to the limestone. The ratio is adjusted, and the effect of the mathematical programming relation is not accurate enough, but this situation is convenient for the identification and use of the dynamic model. In this case, this paper identifies the change amount of the raw material ratio as the input, the amount of CaO and SiO2 content in the raw material of cement as the output model identification, and verifies the model. Then the corresponding predictive controller is designed according to the model, and the necessary parameters are determined by simulation. (2) the development of the cement raw material quality correction control module. When the iron rate or the silicon rate in the three rate of cement raw material is not qualified, the ratio of the raw material sandstone or the iron tailings should be adjusted to achieve the adjustment purpose. In the cement enterprise relying on this project, the rate of iron or silicon is stable, the frequency of adjustment is very low, and the chemical composition of the raw material sandstone and iron tail slag is stable, and the proportion change and the raw material can be determined by the mathematical rule relation. This paper uses mathematical programming relations and expert rules to control this situation, which is the correction control of the quality control system of raw material. In addition, this paper also puts forward a method based on the principle of least square method to modify the composition of raw materials. Finally, the control effect is obtained by simulation of the control method. Good parameters. (3) realization of the quality control system of cement raw material. In the production site, the system collects real-time data according to the on-line analyzer, realizes the interaction between the hardware system and the database through OPC, and uses the cement raw material quality control software to identify various working conditions and adjust the corresponding working conditions. The system can be realized. The quality control of cement raw material is automated to improve the quality of cement raw material. The statistics and analysis of the stage production data are carried out in this paper. The results show that the quality control system of the cement raw material can run for a long time and automatically and the control effect is better than the artificial control effect.
【學(xué)位授予單位】：濟(jì)南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TQ172.4;TP273

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