本项目以多旋翼无人飞行机为平台，基于无人飞机的制造与控制技术的市场配置，实现桥梁裂缝形状与宽度非接触识别。根据无人飞机机载成像的特点，结合噪声处理方法、数学形态学等研究机载图像的裂缝形状提取、宽度识别算法。测试不同条件下无人飞机、机载云台振动特性，研究无人飞机及云台振动对图像裂缝识别精度的影响，建立云台振动控制分析模型，优选、优化云台振动控制，获得满足图像裂缝识别精度并达到相关规范要求的云台振动控制技术。通过室内风场模拟试验、室外实桥试验研究桥梁气动干扰影响对无人飞机的飞行控制影响，获得无人飞机抵近桥梁飞行距桥梁边界的最小安全距离、安全飞行的最大风速，为实现无人飞机机载成像的飞行状态控制提供依据。项目预期实现桥梁技术状况评定参数非接触式测试，解决以桥梁检测车为平台的桥梁技术状况评定存在的问题，为我国在震后桥梁快速测试评估及应急保通修复技术方面提供技术储备。

This project aim to provide a noncontact image identification method based on the manufacturing and control technique of unmanned aircraft vehicle in the market to identify examining and assessing the shape and width of the crack of bridge. Considering the characteristics of the unmanned aircraft vehicle, the algorithm of extracting the crack shape and the width of the airborne image is going to be studied based on the theory of the noise processing method and mathematical morphology.In this project, mainly to complete the following tasks:Testing the vibration characteristics of unmanned aircraft vehicle and airborne platform under different conditions, and the influence of vibration on the accuracy of crack identifying method;Establishing a platform vibration control analysis model, and optimizing the technique of platform vibration control to meet relevant requirements of PTZ vibration control ;carrying out indoor wind field simulation test and outdoor experimental research, to study the interference of bridge aerodynamic characteristics in unmanned aircraft flight control.The project is expected to achieve the bridge technical condition assessment using noncontact testing, and solve the existing problem of bridge-inspection vehicle using men-contact testing. This project will be beneficial for several domains, such as rapid test and evaluation, emergency traffic, and recovery technique of bridge after earthquake.