Multi-modal diagnostic method for detection of concrete crack direction using light-section method and hammering test

Multi-modal diagnostic method for detection of concrete crack direction using light-section method and hammering test
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DOI:
10.1109/urai.2017.7992866
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发表时间:
2017-06
期刊:
2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)
影响因子:
--
通讯作者:
Jonghoon Im;Hiromitsu Fujii;A. Yamashita;H. Asama
Jonghoon Im;Hiromitsu Fujii;A. Yamashita;H. Asama
中科院分区:
其他
文献类型:
--
作者:
Jonghoon Im;Hiromitsu Fujii;A. Yamashita;H. Asama

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最近,许多具体的社会基础设施开始达到其使用寿命的终点。因此,重要的是要评估他们的状况。本文提出了一种基于视觉和听觉传感器的混凝土裂缝方向检测方法。首先采用光切法对混凝土表面进行三维测量。对获得的点云数据进行分析,并检测出裂纹的位置。接下来,基于裂纹位置信息来决定用锤子击打的位置。最后,分析声信号以检测表面下的裂纹的方向。实验结果表明,该方法能够准确地检测出裂纹的位置和方向.
Recently, many concrete social infrastructures are beginning to reach the end of their useful lives. Therefore, it is important to evaluate their condition. In this paper, we propose a method of concrete crack direction detection using visual and audio sensors. Firstly, three-dimensional measurement of the concrete surface is performed by using the light-section method. The obtained point cloud data is analyzed and the positions of the cracks are detected. Next, the positions to hit with a hammer are decided based on the crack position information. Finally, the acoustic signal is analyzed to detect the direction of the crack beneath the surface. Experimental results showed that the proposed method accurately detected crack position and crack direction.