用多变量灰色预测模型研究预分解窑熟料热耗的影响因素和降低途径  

Factors to Reduce Cement Kiln Heat Consumption of Clinker by Multivariate Grey Forecast Model

作　　者：冯庆革[1] 谢小利[1] 杨义 黄小青 宫玉春 李浩璇[1] 

机构地区：[1]广西大学环境学院,南宁530004 [2]广西鱼峰水泥股份有限公司,广西柳州545000

出　　处：《桂林理工大学学报》2012年第2期223-227,共5页Journal of Guilin University of Technology

基　　金：广西科学研究与技术开发项目(桂科攻1099057)

摘　　要：依据某企业日产2 500 t的熟料生产线实际生产数据,按照原燃材料控制参数、烧成控制参数和熟料产量及质量参数进行分类,基于灰色系统理论建立多变量、熟料热耗的预测模型GM(1,N),研究各工艺参数对预分解窑熟料热耗的影响及降低途径。结果表明,建立的多变量灰色预测模型GM(1,N)能较好地反映熟料热耗与各个控制参数之间相互影响、相互制约的关系;其熟料热耗预测值具有较好的拟合精度,在实际生产中可采取减小煤粉细度筛余量、严格控制入窑生料细度、适当调整配料方案、合理控制烧成系统参数、采用薄料快烧等综合方式降低熟料热耗。The actual data of 2 500 t/d clinker production can be classified according to the characteristics of raw materials, clinker firing control, the outputting and quality of clinker. The factors and the methods to reduce the heat consumption are studied through the muhi-variable grey prediction models based on grey system theory. The results show that muhi-variable grey prediction models GM （ 1, N） can better reflect the clinker heat consumption performance and relationship of interaction and restriction among various control parameters. Heat consumption of clinker by these models has a preferable fitting accuracy, and can be reduced effectively by the sieve of coal, by controlling the kiln feeding strictly, optimizing ingredients proportion, and the parameter of clinker system.

关 键 词：灰色理论 熟料热耗 原燃材料 烧成控制 熟料质量 

分 类 号：TQ172.6[化学工程—水泥工业]