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线性模型预测焦炭灰分

Linear Model Predicting Ash Content in Coke

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【作者】 高志芳; 朱书全; 崔荣健;

【Author】 Gao Zhifang~1 Zhu Shuquan~1 Cui Rongjian~2(~1School of Chemistry and Environmental Engineering,China University of Mining andTechnology(Beijing);~2Jiangsu Institute of Maritime Affairs Vocational Technology)

【机构】 中国矿业大学(北京)化学与环境工程学院; 江苏海事职业技术学院;

【摘要】 简述了炼焦煤中灰分对焦炭及炼铁产生的危害,针对开滦煤的地质特点,并通过大量实验数据进行分析,证明开滦煤中灰分与焦炭灰分具有线性关系,指出运用线性回归预测模型可以有效地预测焦炭灰分,从而合理指导配煤,控制配煤中的灰分,以保证焦炭质量。

【Abstract】 The harm of ash in coking caol to coke and ironmaking is briefly presented.In the light of the gelolgical features of Kailuan coal and based on analysis of a lot of test data,it shows that there is a linear relation between the ash in the Kailuan coal and the ash in the coke.It points out that the linear regressive model may predict the coke ash effectively,and control coal blending and the ash content,so as to assure the quality of coke.

【关键词】 线性回归; 预测模型; 焦炭; 灰分;
【Key words】 Linear regression; Prediction model; Coke; Ash content;
  • 【文献出处】 矿业快报 ,Express Information of Mining Industry , 编辑部邮箱 ,2005年10期
  • 【分类号】TQ520.62
  • 【被引频次】8
  • 【下载频次】149
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