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梅山焦炭质量预测模型的研究
引用本文:任学延,张代林,张文成,许立信,王春花,郑明东.梅山焦炭质量预测模型的研究[J].煤化工,2010,38(1):31-33.
作者姓名:任学延  张代林  张文成  许立信  王春花  郑明东
作者单位:1. 上海梅山钢铁股份有限公司,南京,210039
2. 安徽工业大学煤洁净转化与综合利用安徽省重点实验室,马鞍山,243002
摘    要:结合炼焦配煤生产数据,从单种煤指标的加和性分析开始,利用回归方法建立适合梅山自身特点的焦炭灰分、硫分、M_(40)、M_(10)、CRI和CSR的预测模型,并对模型进行了检验。结果表明,所建立焦炭质量预测模型能够预测焦炭质量,优化炼焦配煤配比,满足生产需要,为稳定焦炭质量和降低配煤成本创造了条件。

关 键 词:炼焦配煤  焦炭质量  预测模型

Study on the Prediction Model for Coke Quality from Meishan Iron & Steel Company
Ren Xueyan,Zhang Dailin,Zhang Wencheng,Xu Lixin,Wang Chunhua,Zheng Mingdong.Study on the Prediction Model for Coke Quality from Meishan Iron & Steel Company[J].Coal Chemical Industry,2010,38(1):31-33.
Authors:Ren Xueyan  Zhang Dailin  Zhang Wencheng  Xu Lixin  Wang Chunhua  Zheng Mingdong
Affiliation:1.Shanghai Meishan Iron & Steel Co./a>;Ltd./a>;Nanjing 210039/a>;2.Anhui Key Laboratory of Coal Clean Conversion & Utilization/a>;Anhui University of Technology/a>;Ma'anshan 243002
Abstract:Based on the operation data of the coal blend for coking and the additivity analysis of the single coal quality index,the prediction models of coke quality such as ash content,sulfur content,M40、M10、CRI and CSR were built and tested using the regression method in the paper.The results showed that the coke quality prediction model can not only forecast the coke quality but also optimize the blending ratio.Additionally,it can meet the production requirement,stabilize the coke quality and bring down coal blend cost.
Keywords:coal blend for coking  coke quality  prediction models  
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