REINFORCING BAR PART QUALITY INSPECTION METHOD BASED ON UNMANNED AERIAL VEHICLE IMAGE POINT CLOUD DATA

The present invention relates to the technical field of bridge engineering quality inspection, and in particular, to a reinforcing bar part quality inspection method based on unmanned aerial vehicle image point cloud data. The method comprises: acquiring image data of a reinforcing bar part at a cer...

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Bibliographische Detailangaben
Hauptverfasser:	ZHANG, Yongtao, HUANG, Can, ZHU, Hao, YANG, Xiuli, WANG, Yongwei, LI, Kunyao, ZHU, Mingqing, TIAN, Wei, LV, Danfeng, YAN, Shuangqiao, XUE, Xiankai, CHENG, Maolin, DONG, Jian, LIU, Zhiang, CHEN, Yuan, YANG, Huadong, XIAO, Yao
Format:	Patent
Sprache:	chi ; eng ; fre
Schlagworte:	CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS
Online-Zugang:	Volltext bestellen
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Beschreibung
Zusammenfassung:	The present invention relates to the technical field of bridge engineering quality inspection, and in particular, to a reinforcing bar part quality inspection method based on unmanned aerial vehicle image point cloud data. The method comprises: acquiring image data of a reinforcing bar part at a certain height from the reinforcing bar part by means of a camera mounted on an unmanned aerial vehicle, and performing aerial triangulation calculation and point cloud data reconstruction on the image data to construct a three-dimensional point cloud model of the reinforcing bar part; positioning and extracting a reinforcing bar on the top surface of the reinforcing bar part; filtering and denoising the extracted reinforcing bar e; clustering single reinforcing bars of the denoised reinforcing bar part; performing parameter fitting on each single reinforcing bar to realize circle center positioning and diameter calculation of the top surface of the reinforcing bar; and inspecting the quality of the reinforcing bar pa