基于灰色理论的烧结矿质量预测智能优化研究

Intelligent Study of Sinter Quality Based on Grey Theory

牛江峰，周静

河钢集团唐钢公司炼铁部

摘　要: 针对铁矿石烧结过程工艺流程长、影响因素多、机理复杂的特点,提出一种基于灰色理论的烧结矿质量预测智能优化方法,为生产提供准确的烧结矿质量信息。本模型根据灰色理论模型的原理确定出参考序列和比较序列,利用灰色关联分析方法评价参考序列与比较序列的合理性,从而指导实际生产操作。研究结果表明,本模型能在贫信息、小样本的情况下准确预测出烧结矿质量信息,其优点是能在样本数据较少的状态下通过简单的EXCEL程序计算,预测出精度较高、满意度较好的结果。和传统的预测模型相比,灰色关联理论在烧结矿质量预测方面值得大力应用和推广。
关键词: 烧结过程；灰色理论；关联分析法；烧结矿质量预测
分类号: TF046.4
栏　目: 试验研究
出　处: 《冶金与材料》2016年第1期，第 27-29+41 页（共 4 页）
出版日期: 2016-02-15
知网数据: 下载 147 次，被引 10 次（截至 2026-09-29）

Abstract: Sintering process features lasting technics、excessive influence factor、complicated mechanism. This paper presents an intelligent method of sinter quality based on grey theory and supplies exact sinter quality information. According to the grey theory,referenced list and comparative list are confirmed. Rationality of referenced list and comparative list is estimated with grey correlative analytical method for supervising actual production. The results revreal that,the sinter quality can be accurately predicted through the model by reference to small sample and information. It is concluded that the grey model is effective with the advantages of less samples required,simple calculation by EXCEL programme,high precision and satisfaction. The grey theory is good for application and generalizing widely in forecasting sinter quality.
Keywords: sintering process; grey theory; correlative analytical method; sinter quality forecast

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