【作者】 张广来；

【导师】 张德江；

【作者基本信息】 长春工业大学 ， 控制理论与控制工程， 2011， 硕士

【摘要】 铁合金冶炼行业是我国重要的基础产业部门之一,对我国社会经济发展起着至关重要的作用,在铸造、化学和有色金属冶炼中广泛应用。但是,我国的铁合金企业,与西方发达国家的同行相比,自动化程度低,能耗高,资源浪费严重,由此而造成企业生产成本高,缺乏市场竞争力。在铁合金生产过程中,耗能设备主要是电弧炉。由于电弧炉炉温高、粉尘大、冶炼条件恶劣,电弧炉炉内的温度和熔池参数不宜直接连续检测。因此,选择先进的控制方法实现,对电弧炉冶炼锰硅合金的终点进行预报,能够有效的缩短电弧炉的冶炼周期,从而降低冶炼成本,并且提高生产效率。针对冶炼锰硅合金的特点,本文以吉林某铁合金厂生产实际为背景,提出以多传感器信息融合技术为基础,对电弧炉冶炼锰硅合金的终点时刻进行预报,主要对以下几个方面的进行了研究：(1)依托国家科技支撑计划项目,在对吉林某铁合金厂冶炼锰硅合金的终点判断调研的基础上,分析终点预报的内在特性；(2)针对冶炼锰硅合金冶炼的实际环境和传统支持向量机的不足,提出对支持向量机进行多尺度分解,即多分辨率支持向量机；(3)围绕LS-SVM算法,建立了LS-SVM分层结构模型,并详细描述了融合过程中LS-SVM的训练和测试两个重要环节,并对其测试结果进行MATLAB仿真；(4)依托课题研究背景,将SVM模型应用于解决电弧炉冶炼锰硅合金的终点预报上,实验结果验证了本算法的有效性；(5)针对实际生产控制需要,采用基于WEB系统开发的Java语言,结合Jsp、Javabean技术,实现实际问题的网络化。本文为吉林铁合金冶炼锰硅合金终点判断提出了一条新的解决方案,打破传统的人工经验判断方式,对企业的节能降耗,具有广泛的实际应用前景。更多还原

【Abstract】 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.更多还原