A Knowledge Modeling Method of Blast Furnace Fault Diagnosis Based On Ontology
There is lots of knowledge in the blast fumace fault diagnosis records and its 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.
ontology fault diagnosis blast furnace modeling method
Zhang Yajun Shi Jinliang Chen Guorong
Metallurgical Performance Detection and Equipment Engineering Technology Research Center,ChongQing University of Science & Technology,China
国际会议
沈阳
英文
1316-1323
2012-09-26（万方平台首次上网日期，不代表论文的发表时间）