Hammering Test for Tile Wall Using AI

Social infrastructure, such as bridges and tunnels, is extremely important for economic activities. Among inspection services, it is possible to inspect abnormal areas that cannot be visually observed, such as the interior of concrete walls, by using sound changes caused by hammering. In this inspection, called hammering test, the detection of abnormal sounds depends on the sensory perception of the person performing the hammering test, and the results may differ from one inspector to another. In addition, since the hammering is performed manually, there is the problem that it takes time to perform a wide range of inspections and that the supply of inspections themselves cannot keep up due to the retirement of skilled inspectors. Therefore, this paper describes a hammering test system that uses artificial intelligence to analyze and judge hammering sounds, enabling even unskilled workers to judge abnormal areas. Furthermore, the effectiveness of AI-based sound inspection for adhesive-applied tile walls, which is currently the mainstream, will be discussed.