| 基于MATLAB神经网络的复吹转炉终点氧含量的预报模型 |
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| 引用本文： | 王登峰,倪红卫,胡志刚. 基于MATLAB神经网络的复吹转炉终点氧含量的预报模型[J]. 武汉科技大学学报(自然科学版), 2004, 27(4): 346-348 |
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| 作者姓名： | 王登峰 倪红卫 胡志刚 |
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| 作者单位： | 武汉科技大学材料与冶金学院,湖北,武汉,430081 |
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| 基金项目： | 国家技术创新资助项目(01DK-098-01-2-4). |
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| 摘 要： | 钢水终点氧含量是转炉炼钢的控制目标，它与钢水碳含量、钢水温度等多个变量之间存在着严重的非线性关系。利用MATLAB环境，提出基于BP神经网络的转炉炼钢终点氧含量预报模型，并结合某钢铁企业一座90t转炉的实际数据进行了模型验证。结果表明，该方法收敛速度快，预报精度较高。
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| 关 键 词： | 转炉炼钢 预报 BP模型 神经网络 |
| 文章编号： | 1672-3090(2004)04-0346-03 |
| 修稿时间： | 2004-08-26 |
Predictive Model of Terminal Oxygen Content of Combined Blowing Oxygen Converter Based on MATLAB Neural Network |
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| WANG Deng-feng,NI Hong-wei,HU Zhi-gang. Predictive Model of Terminal Oxygen Content of Combined Blowing Oxygen Converter Based on MATLAB Neural Network[J]. Journal of Wuhan University of Science and Technology(Natural Science Edition), 2004, 27(4): 346-348 |
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| Authors: | WANG Deng-feng NI Hong-wei HU Zhi-gang |
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| Abstract: | The endpoint oxygen content of basic oxygen furnace is the control object of the BOF steelmaking process. There exists a serious nonlinear relationship between the endpoint oxygen content and carbon content and bath temperature. The predictive model of endpoint oxygen content of combined blowing oxygen converter based on MATLAB BP neural network is put forword in the paper, and the verification of the model is made by comparing the predictive value with the practical data of an 80t converter in a factory. The results show the method has fast convergence speed and remarkable accuracy. |
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| Keywords: | steelmaking prediction BP model neural network |
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