AviationCase Study

Hainan Airlines

Aircraft Maintenance Intelligence System

Hainan Airlines had enormous maintenance manuals, time-consuming retrieval for technicians, and difficulty predicting equipment failures.

✈️
✓ 90% Fault Prediction✓ 35% Maintenance Efficiency✓ 60% Fewer Incidents

Case overview

Background

Hainan Airlines had enormous maintenance manuals, time-consuming retrieval for technicians, and difficulty predicting equipment failures.

Solution

Built aircraft maintenance knowledge graph combined with sensor data for intelligent fault diagnosis and predictive maintenance.

Result

90% fault prediction, 35% maintenance efficiency, 60% fewer incidents.