Incheon Int'l Airport uses AI to predict baggage system failures

Incheon International Airport, Korea’s main international gateway, has begun using artificial intelligence (AI) to spot signs of trouble in its baggage handling system (BHS) before equipment breaks down, its operator said Monday. Incheon International Airport Corp. said its BHS Smart Monitoring System has been running in the baggage handling system at the airport’s Terminal 2 since Oct. 26. BHS is a network of conveyors and sorting machines that moves checked luggage between check-in counters, aircraft and arrival halls. The system tracks key equipment in real time, including baggage sorters, the motors that drive the conveyors and the baggage carousels in arrival halls. Sensors collect data from the equipment, and machine-learning software analyzes it to find parts that are likely to fail. Results are shown on a three-level color scale, with green for normal, yellow for caution and red for danger, along with the likely cause of each problem. Maintenance crews can then replace parts or take other steps before a fault occurs. Under the old approach, crews mostly made repairs after par