Semantic-based early warning system for equipment maintenance

Abstract

Equipment is the carrier to produce products, which plays an extremely important role in the industrial field and daily life. In the production process, to make the equipment run stably, it is necessary to maintain the equipment in time. At present, the equipment is developing, becoming more and more mechanized, automated and intelligent, and the requirements for equipment maintenance are also higher. In this paper, Semantic Web technology is introduced into the field of equipment maintenance, using Semantic annotation, rule-based reasoning and Semantic query to achieve equipment maintenance early warning. The experimental results show that the system can send out maintenance warning messages in time, and can meet the corresponding standards of equipment maintenance.