Research On Construction Method Of Equipment Maintenance Knowledge Graph Driven By Data

Equipment maintenance is an important guarantee for manufacturing industry to adapt to the process of globalization.Equipment maintenance knowledge has important guiding significance for the development of equipment maintenance,but the availability of equipment maintenance knowledge is poor due to such factors as wide sources,large amount of data,complex information elements and structure.It is an important research content to promote the development of equipment maintenance to promote multi-source sharing of equipment maintenance knowledge and to explore the internal relationship of equipment maintenance knowledge.Knowledge graph is a knowledge system that forms the structure of human knowledge,and it is also the core technology of artificial intelligence research and intelligent information service.Because of its ability to endue agents with deep understanding,accurate query and logical reasoning,it is widely used in various vertical fields.As a management method of equipment maintenance knowledge integrated with artificial intelligence,the construction of equipment maintenance knowledge map can integrate scattered and complex data information in the field of equipment maintenance and efficiently manage and utilize equipment maintenance knowledge.Equipment maintenance knowledge is the core resource for constructing domain knowledge graph.Based on the purpose of constructing knowledge graph and considering the specialty of domain knowledge,this paper firstly analyzes the equipment maintenance domain knowledge studied in this paper,designs the equipment maintenance domain ontology construction method,and uses Protege software to store the constructed domain ontology.Secondly,the classification of equipment maintenance entities is defined,and aiming at the difficulties of polysemous and nested entities in equipment maintenance named entity recognition,a device maintenance named entity recognition model based on Bert-BilSTM-CRF is designed.Then,the relationship between entities of equipment maintenance knowledge is studied.Based on the result of entity recognition,an entity relationship extraction model of equipment maintenance based on R-Bert is designed.Then,the device maintenance knowledge storage technology is studied,mapping rules are designed and knowledge is stored by using Neo4j graph database to complete the construction of device maintenance domain knowledge map.Then research and complete the equipment maintenance knowledge q&A equipment maintenance knowledge graph application.Finally,based on the device maintenance knowledge graph,Django framework was designed to build the device maintenance knowledge graph separated from the front and back ends,and the functions of each module of the knowledge graph system were improved to complete the visual management of the knowledge graph system.