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

Incheon International Airport Corp. began using an AI system at Terminal 2 on Oct. 26 to identify baggage-handling equipment at risk of failure. Sensors and machine-learning software monitor sorters, conveyor motors and arrival-hall carousels, flagging potential problems so crews can act before breakdowns. The airport expects preventive maintenance to reduce unexpected shutdowns and repair costs, extend equipment life and help prevent baggage delays.

The BHS Smart Monitoring System displays results on a three-level scale: green for normal, yellow for caution and red for danger.

The system also identifies the likely cause of each flagged problem, allowing maintenance crews to replace parts or take other steps before a fault occurs.

Previously, maintenance crews mostly repaired equipment after parts had failed.

Cho Yong-soo, executive director of operations at Incheon International Airport Corp., said the system is expected to lower baggage-equipment management costs and improve passenger convenience.

Published Nov 2, 2026 2:16 pm KST

Updated Nov 2, 2026 2:29 pm KST

Incheon International Airport’s Baggage Handling System operates under a new artificial intelligence-powered smart monitoring system. Courtesy of Incheon International Airport Corp.

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 parts had already failed. The airport said the switch to preventive maintenance is expected to prevent unexpected shutdowns, make equipment last longer and lower repair costs. It also expects fewer bags to be delayed, which would make travel easier for passengers.

“With the introduction of the new AI-based system, we expect to reduce the cost of managing baggage equipment and improve convenience for passengers,” said Cho Yong-soo, executive director of operations at Incheon International Airport Corp.

“We will continue to speed up the adoption of advanced digital technologies to make airport operations more stable and keep improving passenger convenience,” Cho added.

This article was published with the assistance of generative AI and edited by The Korea Times.

仁川国际机场公司于10月26日在2号航站楼启用人工智能系统，用于识别存在故障风险的行李处理设备。传感器和机器学习软件监控分拣机、传送带电机和到达大厅的行李转盘，标记潜在问题，以便工作人员在故障发生前采取措施。机场方面希望通过预防性维护，减少意外停机和维修成本，延长设备使用寿命，并有助于防止行李延误。

BHS智能监控系统以三级等级显示结果：绿色表示正常，黄色表示注意，红色表示危险。

该系统还能识别每个标记问题的可能原因，使维修人员能够在故障发生之前更换零件或采取其他措施。

以前，维修人员主要是在部件发生故障后才进行维修。

仁川国际机场公司运营执行董事赵永洙表示，该系统有望降低行李设备管理成本，提高乘客便利性。

发布于2026年11月2日下午2:16（韩国标准时间）

更新于2026年11月2日下午2:29（韩国标准时间）

仁川国际机场的行李处理系统采用全新的人工智能智能监控系统运行。图片由仁川国际机场公司提供。

韩国主要国际门户仁川国际机场的运营商周一表示，该机场已开始使用人工智能 (AI) 来发现其行李处理系统 (BHS) 的故障迹象，以防止设备发生故障。

仁川国际机场公司表示，其BHS智能监控系统自10月26日起已在机场2号航站楼的行李处理系统中投入使用。BHS是由传送带和分拣机组成的网络，负责在值机柜台、飞机和到达大厅之间运送托运行李。

该系统实时追踪关键设备，包括行李分拣机、传送带驱动电机以及到达大厅的行李转盘。传感器收集设备数据，机器学习软件分析这些数据，找出可能出现故障的部件。

结果以三级颜色标示，绿色代表正常，黄色代表注意，红色代表危险，并标明每个问题的可能原因。维修人员可以据此更换部件或采取其他措施，防患于未然。

以往，维修人员大多是在部件发生故障后才进行维修。机场方面表示，转向预防性维护有望防止意外停机，延长设备使用寿命，并降低维修成本。此外，预计行李延误情况也会减少，从而为旅客出行带来便利。

“随着新的人工智能系统的引入，我们预计能够降低行李设备管理成本，并提高乘客的便利性，”仁川国际机场公司运营执行董事赵永洙表示。

“我们将继续加快采用先进数字技术，使机场运营更加稳定，并不断提高旅客的便利性，”赵补充道。

本文由生成式人工智能协助发布，并由《韩国时报》编辑。