Intelligent operation and maintenance services
By training fault models through sensor data such as vibration and temperature, equipment abnormalities can be warned 7 to 30 days in advance, reducing unplanned downtime by 60%.
Predictive maintenanceBy training fault models through sensor data such as vibration and temperature, equipment abnormalities can be warned 7 to 30 days in advance, reducing unplanned downtime by 60%.
Remote collaborationThe AR glasses and expert system support real-time annotation and 3D model superposition guidance for front-line workers and rear engineers, reducing the time for complex fault repair by 50%.
Spare parts optimizationDynamically adjust the inventory strategy based on the equipment health score to reduce the capital occupation of spare parts by 30%.