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基于LabVIEW的水泥熟料游離氧化鈣BP軟測量及質(zhì)量統(tǒng)計監(jiān)控研究

發(fā)布時間:2018-02-24 08:14

  本文關(guān)鍵詞: 游離氧化鈣軟測量 BP神經(jīng)網(wǎng)絡(luò) ADO MATLAB Script LabVIEW DSC 出處:《昆明理工大學(xué)》2015年碩士論文 論文類型:學(xué)位論文


【摘要】:新型干法水泥生產(chǎn)是我國乃至世界水泥生產(chǎn)的主要技術(shù)之一,其生產(chǎn)過程復(fù)雜、連續(xù)性強、相互影響、相互制約,尤其在窯內(nèi)煅燒工序中必須保證水泥熟料游離氧化鈣(f-CaO)含量維持在合理的范圍內(nèi)。隨著游離氧化鈣含量增加,熟料的強度和安定性都會大幅下降;而游離氧化鈣含量一旦低至0.5%以下時,熟料甚至?xí)M入死燒狀態(tài)。因此,熟料游離氧化鈣含量控制的好壞直接關(guān)系到水泥產(chǎn)品的質(zhì)量。在實際生產(chǎn)中,影響游離氧化鈣含量的因素較多,包括投料量,頭煤量,尾煤量,三率值等,目前主要依靠人工每小時化驗一次得到熟料f-CaO含量。而要保證水泥熟料的質(zhì)量,熟料f-CaO的含量應(yīng)維持在工藝需求的0.5%~2.0%之間。針對f-CaO含量難以在線測量,本論文首先利用軟測量技術(shù)中的BP神經(jīng)網(wǎng)絡(luò)建模方法,建立了f-CaO含量軟測量模型并驗證了模型的有效性和準(zhǔn)確性并進行了游離氧化鈣含量軟測量模型的短期校正研究;其次,為了便于對水泥熟料性能進行分析與監(jiān)控,本論文以LabVIEW作為開發(fā)平臺,開發(fā)了基于SQL2008R2的新型干法水泥生產(chǎn)過程數(shù)據(jù)庫的友好人機監(jiān)控界面。本論文的核心工作是利用MATLAB Script節(jié)點實現(xiàn)了MATLAB游離氧化鈣含量的BP神經(jīng)網(wǎng)絡(luò)軟預(yù)測;利用LabVIEW DSC模塊設(shè)計了監(jiān)控畫面并采用均值—標(biāo)準(zhǔn)差控制圖來實現(xiàn)新型干法水泥熟料游離氧化鈣質(zhì)量統(tǒng)計分析與預(yù)警,以指導(dǎo)操作人員判斷生產(chǎn)過程中熟料f-CaO含量是否達標(biāo),進而采取有效的控制手段;利用ADO技術(shù)實現(xiàn)了對數(shù)據(jù)庫的訪問與數(shù)據(jù)存儲,可方便地查詢、顯示f-CaO含量的軟預(yù)測值及其變化趨勢。本論文的特點是充分利用了LabVIEW模塊化、圖形化、每個子程序獨立調(diào)用的編程特點,以菜單方式實現(xiàn)了基于MATLAB Script節(jié)點、LabVIEW DSC統(tǒng)計分析模塊及ADO數(shù)據(jù)庫訪問技術(shù)的新型干法水泥生產(chǎn)水泥游離氧化鈣含量的軟預(yù)測與質(zhì)量監(jiān)控,完成了多個系統(tǒng)功能的集成開發(fā)。本論文的工作可為新型干法水泥生產(chǎn)過程熟料游離氧化鈣含量的在線監(jiān)測提供一種有效途徑并奠定了一定的理論基礎(chǔ)。
[Abstract]:The new dry process cement production is one of the main technologies of cement production in our country and even in the world. Its production process is complex, continuous, mutual influence and mutual restriction. Especially in the kiln calcination process, the content of free calcium oxide (f-CaO) in cement clinker must be kept within a reasonable range. With the increase of free calcium oxide content, the strength and stability of clinker will decrease greatly. However, once the content of free calcium oxide is below 0.5%, the clinker will even enter into a dead state. Therefore, the quality of cement products is directly related to the control of free calcium oxide content in clinker. There are many factors that influence the content of free calcium oxide, including the quantity of feed, the quantity of coal, the quantity of tail coal, the value of three-rate, etc. At present, the f-CaO content of clinker is obtained mainly by manual test once an hour, and the quality of cement clinker should be guaranteed. The content of f-CaO in clinker should be kept between 0.5% and 2.0% of the technological requirement. The f-CaO soft sensor model is established, and the validity and accuracy of the model are verified, and the short-term correction research of the free calcium oxide soft sensor model is carried out. Secondly, in order to facilitate the analysis and monitoring of cement clinker performance, This paper takes LabVIEW as the development platform, The friendly man-machine monitoring interface of a new dry cement production process database based on SQL2008R2 is developed. The core work of this paper is to use MATLAB Script node to realize the BP neural network soft prediction of MATLAB free calcium oxide content. Using LabVIEW DSC module, the monitoring screen is designed and the mean value standard deviation control chart is used to realize the statistical analysis and early warning of the free calcium oxide quality of the new dry cement clinker, so as to guide the operators to judge whether the f-CaO content of clinker is up to standard in the production process. Then the effective control means are adopted, the database access and data storage are realized by using ADO technology, and the soft prediction value of f-CaO content and its changing trend can be easily queried. The characteristic of this paper is that the modularization of LabVIEW is fully utilized. Graphical, the programming characteristic of each subroutine calling independently, Based on MATLAB Script node LabVIEW DSC statistical analysis module and ADO database access technology, the soft prediction and quality control of free calcium oxide content in new dry cement production are realized by menu method. The work of this paper can provide an effective way for on-line monitoring of free calcium oxide content of clinker in the process of new dry cement production and lay a certain theoretical foundation.
【學(xué)位授予單位】:昆明理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TQ172.16;TP311.52

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