CUI Gui-mei, HOU Jia, GAO Cui-ling, et al. Optimization of operational parameters of BF iron-making based on multi-sensor[J]. 2015, 34(3): 21-23+27. DOI: 10.13873/j.1000-9787(2015)03-0021-03.
基于多传感器的高炉炼铁操作参数优化
摘要
高炉(BF)炼铁是一个复杂的多变量系统
其上遍布各种传感器
而现行的操作制度是基于炉长经验的操作参数设置模式
它忽略了过程工况指标与各操作参数之间的影响关系
使得资源消耗常常处于"盲目"的状态。为了实现资源的合理配置
保证高炉的稳定顺行
需要对操作参数进行优化。在利用相似模式匹配实现高炉炼铁过程多操作参数优化的过程中
针对优良操作模式库庞大而引起的模式匹配速度慢且精度不高的问题
提出了基于马氏距离的多级匹配方法应用到高炉炼铁过程中
从大量工业运行数据中挖掘出适合当前工况条件的最优操作模式
从而实现高炉炼铁节能降耗、提高效率及增加效益的目的。
Abstract
BF iron-making is a complex multi variable system with a large number of sensors on it
due to the operational parameters are set by BF masters with their experience
relationship between comprehensive status indicators and various operating parameters is ignored
thus making consumption of resources are often in a‘blind’state. So the operational parameters should be optimized to realize reasonable utilization of resources and smooth operation of BF. The operational parameters in the process of BF iron-making can be optimized by matching similar operational patterns. Considering the low speed and precision of pattern matching process caused by huge superior operational patterns library
a multi-hierarchy matching strategy is proposed
this can determine the optimal operational pattern under the condition of the working status in a large number of industrial datas
thus can save energy
improve efficiency and increase benefit in the process of BF iron-making.