会议论文详细信息
12th International Conference on Damage Assessment of Structures
Development of testing machine for tunnel inspection using multi-rotor UAV
Iwamoto, Tatsuya^1 ; Enaka, Tomoya^1 ; Tada, Keijirou^1
National Institute of Technology, Ariake College, 150 Higashihagio, Omuta, Fukuoka, Japan^1
关键词: Aerial work platforms;    Concrete wall;    Electrical signal;    Impact acoustics;    Inspection methods;    Test machine;    Testing machine;    Tunnel inspection;   
Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/842/1/012068/pdf
DOI  :  10.1088/1742-6596/842/1/012068
来源: IOP
PDF
【 摘 要 】

Many concrete structures are deteriorating to dangerous levels throughout Japan. These concrete structures need to be inspected regularly to be sure that they are safe enough to be used. The inspection method for these concrete structures is typically the impact acoustic method. In the impact acoustic method, the worker taps the surface of the concrete with a hammer. Thus, it is necessary to set up scaffolding to access tunnel walls for inspection. Alternatively, aerial work platforms can be used. However, setting up scaffolding and aerial work platforms is not economical with regard to time or money. Therefore, we developed a testing machine using a multirotor UAV for tunnel inspection. This test machine flies by a plurality of rotors, and it is pushed along a concrete wall and moved by using rubber crawlers. The impact acoustic method is used in this testing machine. This testing machine has a hammer to make an impact, and a microphone to acquire the impact sound. The impact sound is converted into an electrical signal and is wirelessly transmitted to the computer. At the same time, the position of the testing machine is measured by image processing using a camera. The weight and dimensions of the testing machine are approximately 1.25 kg and 500 mm by 500 mm by 250 mm, respectively.

【 预 览 】
附件列表
Files Size Format View
Development of testing machine for tunnel inspection using multi-rotor UAV 343KB PDF download
  文献评价指标  
  下载次数:6次 浏览次数:16次