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过程工程学报 ›› 2015, Vol. 15 ›› Issue (4): 555-558.DOI: 10.12034/j.issn.1009-606X.215180CSTR: 32067.14.jproeng.215180

• 流动与传递 • 上一篇    下一篇

基于小波分析理论的指数平滑模型预测自然陈化中钢渣f-CaO含量

张浩 杨刚 刘秀玉 刘影 朱庆明   

  1. 安徽工业大学建筑工程学院 中冶宝钢技术服务有限公司 安徽工业大学建筑工程学院 安徽工业大学建筑工程学院 安徽工业大学建筑工程学院
  • 收稿日期:2015-04-08 修回日期:2015-05-13 出版日期:2015-08-20 发布日期:2015-08-20
  • 通讯作者: 张浩

Forecast on f-CaO Content in Steel Slag with Natural Aging by Exponential Smoothing Model Based on Wavelet Analysis

ZHANG Hao YANG Gang LIU Xiu-yu LIU Ying ZHU Qing-ming   

  1. School of Civil Engineering and Architecture, Anhui University of Technology MCC Baosteel Technical Service Center Co. Ltd School of Civil Engineering and Architecture, Anhui University of Technology School of Civil Engineering and Architecture, Anhui University of Technology School of Civil Engineering and Architecture, Anhui University of Technology
  • Received:2015-04-08 Revised:2015-05-13 Online:2015-08-20 Published:2015-08-20
  • Contact: ZHANG Hao

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摘要： 采用自然陈化方法处理滚筒钢渣，跟踪检测渣中游离氧化钙(f-CaO)含量，分析f-CaO含量变化机理；运用小波分析理论和指数平滑模型建立了指数平滑模型，预测滚筒钢渣自然陈化过程中f-CaO含量. 结果表明，自然陈化方法可有效降低滚筒钢渣中f-CaO含量，A类滚筒钢渣自然陈化180 d后f-CaO含量约为1.2%，B类滚筒钢渣自然陈化60 d后f-CaO含量为5.0%~6.0%，满足安全利用要求；基于小波分析理论的指数平滑模型的预测值与实验值吻合较好，相对误差为-3.442%~4.651%，有效提高了滚筒钢渣自然陈化中f-CaO含量预测精度.

关键词: 自然陈化, 滚筒钢渣, 预测, 小波分析理论, 指数平滑模型, 游离氧化钙

Abstract: Natural aging method was used to deal with Baosteel short-flow (BSSF) steel slag, content of free CaO (f-CaO) in BSSF steel slag monitored, and the change mechanism analyzed. Exponential smoothing model based on wavelet analysis was established by wavelet analysis theory and exponential smoothing method to forecast the f-CaO content of steel slag in natural aging. The results showed that f-CaO content of BSSF steel slag was effectively reduced by natural aging method to meet the requirements of safe use, namely f-CaO content in type A steel slag was about 1.2% after 180 d and in type B steel slag about 5.0%~6.0 % after 60 d. Exponential smoothing model based on wavelet analysis predicted data agreed well with the experimental data, the relative error was -3.442%~4.651%, it could increase the prediction accuracy efficiently of the f-CaO content of steel slag in natural aging.

Key words: natural aging, Baosteel's short-flow slag, forecast, wavelet analysis theory, exponential smoothing model, free CaO

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