| 热轧吨钢电耗预测模型建立及应用 |
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| 引用本文： | 黄玉龙,吴悦,陈创.热轧吨钢电耗预测模型建立及应用[J].节能技术,2012,30(3):286-288. |
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| 作者姓名： | 黄玉龙 吴悦 陈创 |
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| 作者单位： | 1. 宝钢股份产品发展部上海200941
2. 宝钢股份热轧厂,上海,200941 |
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| 摘 要： | 本文基于热轧生产过程原始数据,对影响热轧吨钢电耗的影响因素利用Minitab软件中回归工具进行了相关分析,确定了影响热轧吨钢电耗的主要因素,并建立了吨钢电耗的多元线性回归模型,通过与重新选取的原始数据建立的模型进行对比,证明该预测模型具有较高的预报精度。
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| 关 键 词： | 热轧 吨钢电耗 预测模型 多元线性回归 |
The Prediction Modeland Application Research of Power Consumption of Hot- Rolled Steel |
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| HUANG Yu-long
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WU Yue
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CHEN Chuang.The Prediction Modeland Application Research of Power Consumption of Hot- Rolled Steel[J].Energy Conservation Technology,2012,30(3):286-288. |
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| Authors: | HUANG Yu-long WU Yue CHEN Chuang |
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| Affiliation: | 1.Baoshan Iron＆steel Co.,Ltd Product Development Department,Shanghai 200941,China; 2.Hot Rolling Mill.Baoshan Iron ＆ Steel Co.,Ltd,Shanghai 200941,China) |
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| Abstract: | Based on the raw data of the hot rolling process,the article uses regression correlation analysis tool in Minitab to analyse the influencing factors of power consumption of hot-rolled steel.It confirms the main factors and establishes multiple linear regression model of power consumption of per ton steel.The comparison of the prediction and the actual result shows that the forecast model has high accuracy. |
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| Keywords: | hot rolling power consumption per ton steel predictive model multiple linear regression |
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