Pier disease identification and detection unmanned aerial vehicle and detection method

Abstract

The invention provides a pier disease recognition and detection unmanned aerial vehicle. The pier disease recognition and detection unmanned aerial vehicle comprises an unmanned aerial vehicle, a calibration device, a camera device and an image processing unit, the calibration device is arranged in front of the unmanned aerial vehicle and comprises a plurality of calibration round heads, the rear end of each calibration round head is connected with the unmanned aerial vehicle through a telescopic spring, and the front ends of all the calibration round heads are flush; the camera device is used for shooting bridge pier images when all the calibration round heads are in contact with the surface of the bridge pier; the image processing unit stores a set reference pattern in which all the calibration round heads are in contact with the vertical surface of the bridge pier, and is used for screening out the pattern in which each calibration round head is in contact with the bridge pier in the bridge pier image as an actually measured reference pattern, and performing angle correction on the whole bridge pier image; and comparing the corrected pier image with a set reference pattern to calculate the actual size of the disease feature. The method has the beneficial effects that the problem that the unmanned aerial vehicle cannot guarantee the uniformity of the disease shooting distance is solved, and the detection precision of the bridge is effectively improved.

Description

technical field [0001] The invention relates to the technical field of bridge detection, in particular to a bridge pier disease identification and detection drone and a detection method. Background technique [0002] With the continuous development of bridges in our country, the bridge construction in our country has extended from land to sea. From the construction of bridges on major rivers such as Wuhan Yangtze River Bridge, Nanjing Yangtze River Bridge, and Humen Bridge to the construction of cross-sea bridges such as Shenzhen Bay Bridge, Qingdao Bay Bridge, and Hong Kong-Zhuhai-Macao Bridge, my country's bridges are in a stage of vigorous development. At the same time, the number of in-service bridges entering the maintenance period in my country's road network is increasing day by day. More than 100,000 bridges are dangerous bridges, and bridge collapse accidents occur from time to time. Facing the current situation of so many dangerous and sick bridges in our country,...

AI Technical Summary

Problems solved by technology

[0004] (1) Since the UAV cannot guarantee the uniformity of the disease shooting distance during flight shooting, the size of the disease data in the captured pictures is different, resulting in low accuracy of the actual disease characteristics obtained

[0005] (2) When the UAV flies around the pier when it detects under the bridge, there is a danger of colliding with the pier. Once a collision occurs, it is very likely to cause damage to the entire UAV

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