The Endpoint Prediction Of Electric Arc Furnace Based On Information Fusion Technology

Metallurgical industry is one of important basic industry sectors in China, which plays a key role on social economic development,it has been widely used in foundry industry, non-ferrous metals smelting and chemical industry. However, compared with peers in the western developed country, the ferroalloy enterprise of China has obvious drawbacks that include the low degree of automation, high energy consumption, high production cost and lack of market competitiveness.The electric arc furnace (EAF) is the main dissipation energy equipment in manufacturing process of ferroalloy. Owing to the high temperature in electric arc furnace, excessive dust and abominable working condition, the composition and temperature can not be measured directly. So selecting an advanced control method to predicting the end point of smelting Mn-Si alloy process can reduce the loss of electric machine, consumption of resources and shorten melting time, thereby smelting costs are reduced and production rate is raisedThis thesis is based on electric arc furnace of the ferroalloy subsidiary factory of Jilin steel group. The thesis includes the historic course, the actual research and the tendency of EAF ferroalloy smelting, which is based on the extensive knowledge of the craftwork of EAF and the development of ferroalloy smelting process of the prediction of end-point at home and on aboard, which all through study on a great deal of documents about prediction of end-point of the EAF.This thesis is devoted to theoretical research as follows:(1) Among the country support science and technology project, On the basis of investigation to terminal judgment of smelting Mn-Si alloy in the ferroalloy subsidiary factory of Jilin steel group, internal quality of end-point prediction subjectes to analysis,which rely on the country to support science and technology projects.(2) Considering the faults of the real condition of smelting Mn-Si alloy and support vector machine, it is multi-resolved on the basis of support vector machine, which is called multiresolution support vector machine.(3) The LS-SVM layered model is established around the LS-SVM algorithm and describes two important links of LS-SVM training and testing in fusion process minutely. Then, by using MATLAB software the testing result is simulated.(4) Relying on the research background, the model of the LS-SVM was applied to solve the problems of end-point prediction.(5) Designed the Man-Machine Interface with the practical conditions,the interface is developed by Java which based on WEB system, comparing Jsp and Javabean technology A new produce model different from tradition artificial experience judgment model is proposed.Meanwhile a new enery saving solution with a great application proposed for the prediction of end-point of the EAF.