基于最小二乘的轉(zhuǎn)爐控制模型(論文范文,ASP.NET畢業(yè)設(shè)計)

1、基于最小二乘的轉(zhuǎn)爐控制模型(論文范文,ASP.NET畢業(yè)設(shè)計)摘 要在煉鋼實(shí)際生產(chǎn)過程中，氧耗量增量及廢鋼用量增量這兩項(xiàng)數(shù)據(jù)尤其重要，不僅是確保煉鋼命中率的基礎(chǔ),也是穩(wěn)順生產(chǎn)，控制節(jié)奏的關(guān)鍵；在數(shù)據(jù)收集整理，統(tǒng)計分析的基礎(chǔ)上，建立一定冶煉模型，指導(dǎo)轉(zhuǎn)爐生產(chǎn)（包括加料及氧氣頂吹等），對鋼鐵生產(chǎn)具有重要的經(jīng)濟(jì)價值。經(jīng)過科學(xué)的分析，本模型選取了廢鋼加入量和氧耗量作為因變量，再依據(jù)現(xiàn)場實(shí)際情況和收集數(shù)據(jù)的具體情況選取了22個自變量。按照多元線性回歸,采用最小二乘法即可求得回歸系數(shù)。而由回歸系數(shù)構(gòu)成的K階線性方程組的系數(shù),可用收集的現(xiàn)場數(shù)據(jù)求得,最后用高斯消元法對K階線性方程組求解，從而得到氧耗量增量與

2、廢鋼用量增量的回歸方程。本系統(tǒng)是基于B/S結(jié)構(gòu)模型，使用A編程框架、C#程序設(shè)計語言、Visual Studio 2005等作為程序開發(fā)工具，Sql Server 2005作為后臺數(shù)據(jù)庫，在.net framework平臺上實(shí)現(xiàn)了系統(tǒng)的基本功能。在具體設(shè)計中使用了會話狀態(tài)管理，用戶組別管理，運(yùn)用了繼承、重載和多態(tài)等方法，采用了ADO.NET技術(shù)、JavaScript等技術(shù)。由于系統(tǒng)需要存取和計算大量數(shù)據(jù)，所以在數(shù)據(jù)庫設(shè)計中運(yùn)用到了存儲過程（Stored Procedure）提高系統(tǒng)運(yùn)行效率。采用面向?qū)ο蟮某绦蛟O(shè)計方法把系統(tǒng)劃分為六個功能模塊：用戶登錄驗(yàn)證與管理模塊，自定義數(shù)據(jù)模塊，添加數(shù)據(jù)模塊

3、，讀取數(shù)據(jù)模塊，分析計算數(shù)據(jù)模塊，顯示圖表結(jié)果模塊，每個功能模塊既獨(dú)立又有緊密的聯(lián)系。通過整合這些功能模塊基本實(shí)現(xiàn)了系統(tǒng)的業(yè)務(wù)功能。關(guān)鍵詞：煉鋼，最小二乘法，存儲過程，AABSTRACTIn actual steelmaking production process, the oxygen consumption of incremental and the abolished steel consumption incremental both numbers are especially important and is not only ensure the shooting, is f

4、undamental to steelmaking instability of the production and control rhythm key. In data collection, statistical analysis is developed on the basis of certain smelting model converter, guidance production (including charging and oxygen top-blown of steel production, etc) has important economic value.

5、After scientific analysis control model selected the scrap addition amount and oxygen demand as the dependent variable, again according to the actual situation and collect data of the specific conditions of the independent variable selection 22. According to the multivariate linear regression, using

6、 least-square method regression coefficients can be obtained. By regression coefficient and composed of the coefficient of linear equations K, available for the field data collection, and finally by gaussian elimination method of linear equation of K, thereby get oxygen consumption of incremental va

7、lue increment and scrap steel dosage regression equations.This system is based on B/S structure model, using programming framework, c # programming language, and Visual Studio 2005 as program development tools, Sql Server 2005 as the backend database in framework platform, realized the basic functio

8、n of the system. In the specific design, use the public class session state management, using inheritance and heavy-load and polymorphism methods, the use of a technology, JavaScript techniques. Because the system need to access and calculation of large quantities of data in database design, so usin

9、g Stored procedures to improve the system efficiency. Using object-oriented program design method of the system ,and it is divided into six function module: user login verification and management module, custom data module, add data module, read data module, analysis and calculation results show chart data module, each function module are independent and have close ties. Through the integration of these function modules of the system to reali