Abstract
The new trends of high-speed rail locomotive manufacturing set higher requirement for MRO knowledge representation and XBOM. Therefore, XBOM ontology modeling supporting MRO semantic knowledge representation has become an important research topic of the high speed railway locomotive manufacturing industry. This paper firstly expounds the model frame of high-speed locomotive XBOM ontology, then take the global ontology, the construction ontology and the maintenance plan ontology as examples; respectively carding and analyzing four approaches each ontology contains that class (concept), object, data attribute, and constraint rule and central with the supporting MRO semantic knowledge representation, the XBOM ontology conceptual model can be created; At last, High speed rail train MRO semantic knowledge representation was realized by using protégé4.1 ontology modeling of XBOM for high-speed locomotive
Highlights
We use the "seven steps" of the ontology modeling built by Stanford University to establish the XBOM ontology model of high speed railway locomotive for MRO knowledge representation
Reference to the literature[13] putting forward the grid fault diagnosis knowledge ontology classification method, starting from the application requirements of MRO domain, the high speed railway MRO service is divided into equipment configuration, maintenance plan, operation monitoring, fault diagnosis and maintenance case area
Equipment Construction Ontology abbreviated as ESO can be expressed as follows: ESO={C,R,P,I,A},among them, C represents a set of concepts, R represents a set of relationships, P represents a set of data properties, I represents an instance set, and A represents a set of rules
Summary
Corresponding to a variety of material names are similar, but the BOM structure and the associated information of different materials list, respectively including, design BOM, configuration BOM, procurement BOM, manufacturing BOM, resume BOM, repair BOM, etc ; it is limited to manage the operations related spare parts This maintenance BOM can provide information support to maintenance process and spare parts plan of. This paper constructs a XBOM ontology model which supports MRO knowledge representation, realizing the semantic representation of MRO knowledge of high speed railway locomotive. Promoting to make full use of enterprise MRO knowledge, the high speed railway MRO service management to modernization and intelligence
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