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A platform for research: civil engineering, architecture and urbanism
Bridge disease diagnosis method based on unmanned aerial vehicle image recognition
The invention discloses a bridge disease diagnosis method based on unmanned aerial vehicle image recognition in the technical field of bridge diagnosis, and the method comprises the following steps: controlling the flight of an unmanned aerial vehicle through a remote controller, adjusting the flight attitude of the unmanned aerial vehicle after the unmanned aerial vehicle flies to a designated position, and obtaining the image of the unmanned aerial vehicle. Enabling the unmanned aerial vehicle to be horizontal to the ground and hovering the unmanned aerial vehicle; sending a control instruction to the unmanned aerial vehicle through the communication equipment, and controlling the unmanned aerial vehicle to carry out high-definition shooting on the bridge; shooted image data are wirelessly transmitted to the computer through the communication equipment, the levelness of the bridge on the shot image is measured through the computer, the bridge is shot through the unmanned aerial vehicle which is horizontally suspended relative to the ground, the shot image is subjected to image analysis through the computer, whether the bridge has a settlement phenomenon or not is judged, and the bridge can be quickly and accurately positioned. The bridge can be accurately diagnosed, and the safety of the bridge is guaranteed.
本发明公开了桥梁诊断技术领域的一种基于无人机图像识别的桥梁病害诊断方法，该基于无人机图像识别的桥梁病害诊断方法包括如下步骤，通过遥控器控制无人机飞行，无人机飞行到指定位置后，调整无人机的飞行姿态，使得无人机水平与地面并对无人机进行悬停；通过通讯设备向无人机发送控制指令，控制无人机对桥梁进行高清拍摄；拍摄后的图像数据通过通讯设备进行无线传输至计算机上，通过计算机对拍摄的画面上桥梁的水平度进行测量，本发明通过与地面水平悬置的无人机对桥梁进行拍摄，拍摄的画面经过计算机的图像分析，判断桥梁是否出现沉降的现象，能够准确的对桥梁进行诊断，保障桥梁安全。
Bridge disease diagnosis method based on unmanned aerial vehicle image recognition
The invention discloses a bridge disease diagnosis method based on unmanned aerial vehicle image recognition in the technical field of bridge diagnosis, and the method comprises the following steps: controlling the flight of an unmanned aerial vehicle through a remote controller, adjusting the flight attitude of the unmanned aerial vehicle after the unmanned aerial vehicle flies to a designated position, and obtaining the image of the unmanned aerial vehicle. Enabling the unmanned aerial vehicle to be horizontal to the ground and hovering the unmanned aerial vehicle; sending a control instruction to the unmanned aerial vehicle through the communication equipment, and controlling the unmanned aerial vehicle to carry out high-definition shooting on the bridge; shooted image data are wirelessly transmitted to the computer through the communication equipment, the levelness of the bridge on the shot image is measured through the computer, the bridge is shot through the unmanned aerial vehicle which is horizontally suspended relative to the ground, the shot image is subjected to image analysis through the computer, whether the bridge has a settlement phenomenon or not is judged, and the bridge can be quickly and accurately positioned. The bridge can be accurately diagnosed, and the safety of the bridge is guaranteed.
本发明公开了桥梁诊断技术领域的一种基于无人机图像识别的桥梁病害诊断方法，该基于无人机图像识别的桥梁病害诊断方法包括如下步骤，通过遥控器控制无人机飞行，无人机飞行到指定位置后，调整无人机的飞行姿态，使得无人机水平与地面并对无人机进行悬停；通过通讯设备向无人机发送控制指令，控制无人机对桥梁进行高清拍摄；拍摄后的图像数据通过通讯设备进行无线传输至计算机上，通过计算机对拍摄的画面上桥梁的水平度进行测量，本发明通过与地面水平悬置的无人机对桥梁进行拍摄，拍摄的画面经过计算机的图像分析，判断桥梁是否出现沉降的现象，能够准确的对桥梁进行诊断，保障桥梁安全。
Bridge disease diagnosis method based on unmanned aerial vehicle image recognition
一种基于无人机图像识别的桥梁病害诊断方法
ZHANG HUI (author) / GUO YUZHEN (author) / ZHAI YUHANG (author) / ZHANG DAN (author) / CUI YAOHUI (author)
2023-04-11
Patent
Electronic Resource
Chinese
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