柳钢焦炭质量预测模型的研究  

Study on prediction models for coke quality in Liuzhou Iron&Steel

作　　者：唐炜 陈静春 游坚 王永树 张代林[2] Tang Wei;Chen Jingchun;You Jian;Wang Yongshu;Zhang Dailin(Liuzhou Iron&Steel Co.,Ltd.,Liuzhou 545002,China;Anhui Key Laboratory of Coal Clean Conversion&Utlization,Anhui University of Technology,Ma’anshan 243002,China)

机构地区：[1]柳州钢铁股份有限公司,柳州545002 [2]安徽工业大学煤洁净转化与高值化利用安徽省重点实验室,马鞍山243002

出　　处：《燃料与化工》2021年第6期4-7,共4页Fuel & Chemical Processes

摘　　要：结合炼焦配煤生产数据及影响焦炭质量指标的各种因素,利用回归方法建立适合柳钢焦化厂自身特点的焦炭灰分、硫分、冷态强度(M_(40)、M_(10))、热性质(CRI和CSR)预测模型,并对模型进行了检验。结果表明,所建立的焦炭质量预测模型准确度较高,能够满足炼焦生产需要,可稳定焦炭质量和降低配煤成本。According to cokemaking datum and various kinds of factors influencing coke quality,prediction models of coke quality tailor-made for the coking plant of Liuzhou Iron&Steel were built in terms of ash content,sulfur content,M_(40),M_(10),CRI and CSR by using regression method and tested in the paper.The results showed coke quality prediction models of high precision could not only meet the requirement for cokemaking but also stabilize coke quality and reduce coal blending cost.

关 键 词：炼焦配煤 焦炭质量 预测模型 回归分析 

分 类 号：TQ520.1[化学工程—煤化学工程]