System and method for automatically detecting foreign object debris (FOD) on airfield runways

Abstract

The invention provides a system and method for automatically detecting foreign object debris (FOD) on airfield runways, belonging to the technical field of automatic control of aviation. The system comprises a detector, an optical characteristic database, an FOD database, an object motion state analysis device, an object physical attribute analysis device, an estimation device of threat severity grade of the object towards the airplanes, an alarm device, a remote monitoring device and a workstation removing device. By the system and the method, all-day, all-weather and full-automatic detection, identification and alarm can be carried out on the FOD targets and the accuracy of automatic detection and alarm can be substantially improved.

Description

technical field [0001] The present invention relates to a device and method in the field of aircraft and airport technology, in particular to an automatic foreign object detection system and detection method for airport runways. Background technique [0002] With the substantial increase in passenger traffic at civil airports, the number of incidents of foreign objects (Internationally known as: Foreign Object Debris (FOD)) falling on airport runways has increased significantly. Typical examples of foreign objects include: concrete asphalt fragments, metal devices, rubber Debris, plastic, flora and fauna. [0003] Aircraft are quite fragile to FOD. A bird or a small piece of plastic sheet sucked into the engine may cause an air stop. A small screw or metal piece or even a sharp stone may puncture the tire and cause an explosion. The resulting tire fragments may damage the aircraft body Or important parts, such as hydraulic pipes, fuel tanks. The FOD event that attracted th...

AI Technical Summary

Problems solved by technology

The disadvantages of this system are: 1. Using an optical camera to detect the target requires a very large amount of data processing for image processing, and the detection and recognition time is relatively long

2. The optical camera is greatly affected by the weather and light conditions, and it is difficult to detect tiny foreign objects on the runway when the runway is flooded.

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