Fault Diagnosis Knowledge Management System Of Airport Boarding Bridge

Information technology is an inevitable trend of social development, it is animportant symbol of an enterprise’s management level. Because the source of theboarding bridge fault knowledge is very extensive, complex and diverse informationelements, poor availability in the boarding bridge maintenance management, it is hardto effective integration and use. How to integrate and manage these different storageformats, the information structure is not uniform boarding bridge fault knowledge, let theaerobridge fault knowledge sharing and reuse is the boarding bridge failure problems tobe solved. This paper introduces ontology into the boarding bridge fault knowledgemanagement, building the boarding bridge fault knowledge management system basedon ontology.Firstly, determined fault diagnosis knowledge sources of the boarding bridge.Summarize the work on Shanghai Pudong Airport. Analysis the fault diagnosis knowledgesources from three aspects: boarding bridge structures, common faults and exclusion andinspection. It’s provides a rich source of knowledge for Knowledge representation andknowledge application of Aerobridge Fault diagnosis.Then study the boarding bridge fault knowledge retrieval technology, proposed theboarding bridge fault knowledge processes based on semantic retrieval. Theintroductions of semantic retrieval boarding bridge to retrieve the ontology, retaliate thesemantic extend of air bridge knowledge retrieval and improve the efficiency andaccuracy of retrieval; it’s also gives the retrieval algorithms and retrieve specificinstances.Finally, in the boarding bridge failure ontology and semantic retrieval boardingbridge fault knowledge, based on the use of B/S structure, JAVA (ExtJs4+Struts2+Hibernate+Spring3) language, developed ontology-based knowledge managementsystem failures aerobridge.