Multi-step prediction model of blast furnace permeability index based on multi-time scale
Blast furnace permeability index is an important index to reflect the indirect reduction de-gree of charge and furnace condition,which is affected by blast furnace operations in multiple time scales.The existing research analysis,modeling and prediction of the development trend of the perme-ability index are mostly based on the same time-scale and the prediction step is short,so the predic-tion results are difficult to guide the on-site judgment.Therefore,this paper proposed a multi-step pre-diction model of blast furnace permeability index based on multi-time scale.Firstly,the time domain characteristics of the influence of blast furnace operations on the permeability index on multi-time scale are calculated through mechanism and data analysis,and the multi-time scale effects of different operations on the permeability index in different time scales are analyzed in combination with the fre-quency domain characteristics.Then,according to the characteristics of blast furnace operation affect-ing the development of permeability index in different time scales,a single-step prediction model based on support vector machine is established.Finally,a multi-step prediction model of permeability index based on recursive strategy is established on the basis of single-step prediction model.The ex-perimental results show that this method can effectively predict the future development trend of per-meability index and is convenient for on-site decision-making.
NETL
NSTL
万方数据
