基于无人机的桥梁病害检测系统研究

Research on Bridge Disease Detection System Based on UAV

根据无人机在桥梁检测中的优势和发展阶段,提出了一种全新的智能化无人机桥梁病害检测系统。采用TSP建模、遗传算法与路径搜索和坐标映射三个模块,使无人机能够在遍历所有区域的前提下检测的路径长度最短。通过病害图像拼接算法实现病害图像的准确拼接,采用深度学习网络对病害图像进行训练和特征提取,以提高病害自动识别准确率。无人机桥梁病害检测系统具有便捷快速、智能化、高效化和精准化等优势,能够满足现代化桥梁检测要求。

A kind of new bridge disease detection system with intelligent unmanned aerial vehicle(UAV)is put forward based on the advantages and development stages of UAV in bridge detection.The shortest path length can be detected by UAV on the premise of traversing all regions with three modules of TSP modeling,genetic algorithm with path search and coordinate mapping.The accurate stitching of disease images is achieved through the disease image stitching algorithm,and deep learning networks are used to train and extract features from disease images to improve the accuracy of automatic disease recognition.The bridge disease detection system with UAV has advantages such as convenience,speed,intelligence,efficiency and precision and so on,which can meet the requirements of modern bridge detection.