AviationCase Study
Hainan Airlines — Aircraft Maintenance Intelligence System
90% Fault Prediction
35% Maintenance Efficiency
60% Fewer Incidents
Challenge: Background
Hainan Airlines had enormous maintenance manuals, time-consuming retrieval for technicians, and difficulty predicting equipment failures.
Solution: Our Approach
Built aircraft maintenance knowledge graph combined with sensor data for intelligent fault diagnosis and predictive maintenance.
Results: Business Impact
90% fault prediction, 35% maintenance efficiency, 60% fewer incidents.