SemanticModeling of Fault Knowledge and Data of Thermal Power Unit based on Ontology
Aiming at significant amount of fault knowledge and data types,and their complex correlation in thermal power units,a semantic modeling of fault knowledge and operational data based on ontology theory is built to promote the inte-gration,reuse and sharing of fault knowledge and data,and then improve knowledge inquiry and reasoning.Firstly,an ontology that meets the multi-granularity semantic modeling requirements of fault knowledge and data is established,and the concepts and relationships of classes,attributes,and individuals in the fault diagnosis scenario of thermal power units are proposed.Secondly,a semantic query model for fault knowledge and data is proposed based on the ontology SPARQL language.Finally,taking the gas-steam combined cycle unit as the as the research object,the fault knowledge graph is established by using Protégé software.The feasibility of fault knowledge and data semantic query is verified,which pro-vides ideas for the establishment of knowledge graphs and industrial big data platforms in the field of thermal power unit operation and maintenance,and also contributes to subsequent research on intelligent diagnosis.
thermal power unitfault diagnosisontologysemantic modelingknowledge graph
万方数据
维普
