| 李洋,韩敏,姜力文.基于氧气脱碳效率预测的转炉炼钢吹氧量计算模型[J].,2012,(5):725-729 |
| 基于氧气脱碳效率预测的转炉炼钢吹氧量计算模型 |
| Blowing oxygen volume calculation model of BOF steelmaking based on oxygen decarburization efficiency prediction |
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| DOI：10.7511/dllgxb201205017 |
| 中文关键词: 转炉炼钢 支持向量机 独立成分分析 氧气脱碳效率 吹氧量 |
| 英文关键词: basic oxygen furnace (BOF) steelmaking support vector machine (SVM) independent component analysis (ICA) oxygen decarburization efficiency volume of blowing oxygen |
| 基金项目:国家自然科学基金资助项目61074096. |
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| 摘要点击次数: 1187 |
| 全文下载次数: 1912 |
| 中文摘要: |
| 为精确计算转炉炼钢生产过程中需要吹入的氧气量,提出了基于氧气脱碳效率预测的转炉炼钢静态和动态吹氧量计算模型．首先,采用独立成分分析方法对静态模型输入进行预处理；然后,建立基于支持向量机的氧气脱碳效率预测模型；最后,利用预测得到的氧气脱碳效率结合机理公式计算两阶段吹氧量．利用一座150 t转炉的实际生产数据进行仿真计算,结果显示该模型对氧气脱碳效率的预报精度较高,所提方法是有效的． |
| 英文摘要: |
| To accurately calculate the volume of blowing oxygen in basic oxygen furnace (BOF) steelmaking, oxygen decarburization efficiency prediction-based static and dynamic blowing oxygen volume models are proposed. Firstly, independent component analysis is used to preprocess the inputs of static model. Then, support vector mechine-based oxygen decarburization efficiency prediction models are built. Finally, the predicted oxygen decarburization efficiency combined with the mechanism of the formula is used to calculate the two-stage blowing oxygen volume. A 150 t BOF practical data are used for simulations, and experimental results show that the forecast accuracy of the oxygen decarburization efficiency of the model is higher and the proposed method is effective. |
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