基于图像处理下无人机拍摄裂缝辅助装置的设计研发

Design and Development of UAV Crack Shooting Auxiliary Device Based on Image Processing

近年来,“智慧土木”概念逐渐深入人心,在裂缝监测分析方面,大量学者利用无人机与计算机视觉结合的方式进行研究,取得了一定进展。然而,据实际工程获悉,由于不同建筑结构设计的约束以及无人机自身飞行特点,利用无人机进行近距离采集图片有很大的限制,时常会出现裂缝照片存在拖影模糊等清晰度不高的问题,进而使得后续图像处理分析工作开展不便,导致监测裂缝的数据不够准确。因此,研发了一种基于图像处理下无人机拍摄裂缝的装置,并阐明其构造组成及操作方法,克服现有技术的缺陷,有效提高采集裂缝照片的安全性、准确性和效率,可供广大工程技术人员参考。

In recent years,the concept of “smart civil engineering” has gradually become popular. In the aspect of crack monitoring and analysis,a large number of scholars use the combination of UAV and computer vision to conduct research and some progress has been made. However,according to the actual engineering,due to the different structure design constraints and unmanned aerial vehicle(UAV) flight characteristics itself,the use of unmanned aerial vehicle(UAV) for close to collect images have a lot of restrictions,often appear crack photos such as ghosting fuzzy resolution is not high,which makes the subsequent image processing and analysis work inconvenience,cause monitoring crack data are accurate enough. Therefore,this paper developed a device for photographing cracks by UAV based on image processing,and clarified its structure and operation method,which overcomes the defects of the existing technology and effectively improves the safety,accuracy and efficiency of photographing cracks,which can be used as a reference for the majority of engineers and technicians.