Research on the Application of Digital Twin Technology in Predictive Maintenance of Water Plant Equipment
Aiming at the difficulty of equipment maintenance and management in waterworks,this paper studies the use of digital twin technology to build a digital model,and introduces self-organizing mapping neural network into fault prediction to carry out predictive maintenance of waterworks equipment.Through BIM technology,the digital twin base of waterworks equipment is constructed,and the integrated display and real-time monitoring of equipment status and key parameters are realized by using sensors and communication networks.Combined with self-organizing mapping neural network,the fault prediction model is established,and the corresponding maintenance scheme is formulated.The digital twin cockpit is comprehensively displayed to provide comprehensive decision support for managers.The results show that the predictive maintenance management based on digital twins significantly reduces the downtime and maintenance cost of equipment,and improves the efficiency of equipment management.
Digital TwinWater Plant EquipmentBIM TechnologySelf-organizing Mapping NetworkPredictive Naintenance
万方数据
维普
