Blast furnace status diagnosis based on burden surface temperature field feature

In order to resolve the diagnosis difficulty of blast furnace(BF) status,a diagnosis method for BF status was proposed based on the least square support vector machine(LS-SVM) method and the feature of burden surface temperature field.The burden surface temperature field was conducted by using the information fusion technology according to the infrared image in BF top and the process variable.The input of BF status diagnosis model was achieved based on the feature information related with the BF status which was extracted from the burden surface temperature field.The LS-SVM was employed to construct a model to diagnose the BF status.The field,data show that the method fully uses the relationship between the BF status and the temperature field,and has a better diagnosis effect,which helps operators detect the abnormal BF status and stabilize the BF operation.