Construction of Ontology-based Intelligent Operation and Maintenance Knowledge Base for Cleaning Robots
To cope with increasing complexity of cleaning robots and lower their operation and maintenance threshold,a method for constructing an ontology-based intelligent operation and maintenance knowledge base for cleaning robots was proposed.By formalizing working status of components of a cleaning robot,an operation and maintenance ontology for the cleaning robot was constructed.On the basis of decision tree,maintenance plan syntax rules were established to create a rule system for the cleaning robot's operation and maintenance ontology.The operation and maintenance ontology was then reasoned and analyzed by adding instance data of equipment cases.On the basis of the cleaning robot's operation and main-tenance ontology,online reasoning application for the cleaning robot was developed.The results show that the decision-making semantic logic of the maintenance ontology reasoning is reasonable,and the method for constructing an ontology-based intelligent operation and maintenance knowledge base for cleaning robots is feasible and effective.The developed online reasoning application for cleaning robots provides an efficient knowledge service for unmanned cleaning operation.
ontologyintelligent operation and maintenance knowledge baseknowledge reasoningcleaning robotdeci-sion support
万方数据
维普
