Track fault detection method and system based on infrared thermal imaging and computer vision

Abstract

The invention discloses a track fault detection method and system based on infrared thermal imaging and computer vision. The steps of the method are: the unmanned aerial vehicle carries out tram track image acquisition; the ground station receives high-definition camera image data and performs image preprocessing; The darker area inside and the brighter area outside the groove are segmented twice with multi-threshold orbital area, and the orbital area is segmented according to the distance characteristics adjacent to the brighter and darker area, and the orbital image is extracted; the infrared thermal image is grayscaled, and the relative The temperature difference method extracts the high-temperature area on the track; the preprocessed image is superimposed on the track detection window, the mask is used to obtain the region of interest, the edge closure judgment and filling of the region of interest are performed to obtain a connected region, and the connected region is screened to obtain a suspected foreign object on the track; The foreign matter is input into the BP neural network for identification, and the foreign matter classification result is obtained. The invention performs real-time identification and temperature detection of foreign matter on the track, reduces the accident rate of the track traffic, and improves the running safety of the tram.

Description

technical field [0001] The invention relates to the technical field of track detection, in particular to a track fault detection method and system based on infrared thermal imaging and computer vision. Background technique [0002] Modern trams have entered people's lives with the characteristics of green environmental protection, safety, comfort, flexibility and convenience. However, compared with subways, modern trams do not have completely independent right of way. When the tram runs at a faster speed and has a larger passenger capacity, foreign objects on the track will pose a great threat to the safety of the tram. At present, the tram track fault detection technology mainly relies on manual operation detection and maintenance - slow detection speed, long time-consuming, low safety, high labor cost, tram track fault detection has even affected the daily operation of trams, trams The traffic on the track section is blocked, making the city traffic jam. Existing obstacl...

AI Technical Summary

Problems solved by technology

The obstacle detection technology based on computer vision mainly relies on the camera installed on the vehicle to obtain the image information in front of the vehicle, and uses digital image processing technology to detect obstacles. Although it has a certain early warning function for the detection area, the detection area is narrow and only It can detect obstacles while the vehicle is running, and cannot handle daily inspections when the track is idle and fault inspections in emergency situations

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