Predictive Maintenance System for Production Line Equipment Based on Digital Twin and Augmented Reality

Abstract

AbstractSynchronous monitoring and intelligent maintenance of production line equipment have always been two major problems in the field of intelligent manufacturing. To solve these problems, this paper proposes a predictive maintenance system for production lines based on digital twin and augmented reality (AR), which obtains real-time operation data of physical production lines through data processing module, drives synchronous movement of digital twin system of physical production lines, completes virtual and real synchronous mapping, and realizes visual monitoring of physical space; The AR predictive maintenance system is built based on digital twin. The equipment health threshold is obtained through the analysis of historical data, and the equipment health threshold is used in combination with real-time operation data to predict the fault of the production line. The equipment fault information and maintenance operation guidelines are presented through AR visualization effect, making the equipment maintenance work more efficient. This paper also shows the application of the system in the inspection of assembly line equipment, realizes the synchronous twin mapping and AR predictive maintenance of assembly line equipment, and verifies the feasibility of the system.KeywordsDigital twinAugmented RealityPredictive maintenanceIntelligent inspection