A knowledge modeling method of blast furnace fault diagnosis based on ontology

There is lots of knowledge in the blast furnace fault diagnosis records and it's useful to guide the fault diagnosis occurred later. But, in fact, such knowledge sharing and knowledge reusing is very low because of a lack of unified, efficient knowledge model. In order to make the furnace operation unification and standardization, an ontology-based intelligent diagnosis model is established in this paper. On the basis of the four elements which are fault phenomenon, fault location, fault cause, fault solution, the author carry out knowledge representation and construction reasoning. Then the author give out a fault diagnosis framework including fault diagnosis class, property, instance, domain, relationship etc. the ontology-based fault diagnosis modeling method is strictly defined and elaborated. Further more, the author quotes the pulverized coal injection system of blast furnace as a case to confirm this modeling method. The results prove that this modeling method is intuitive and high efficiency.