2022 Volume 3 Issue J2 Pages 650-660
As the working-age population continues to decline, one of the most pressing issues in the maintenance and management of social infrastructure is the transfer of skills to younger engineers. In recent years, AI has been attracting attention as one of the measures to address this issue, but it has only been applied to some types of work, and it is inevitable to continue handing down skills to human workers for the time being. In this study, we attempted to extract tacit knowledge from images of bridges by focusing on the line-of-sight information when diagnosing the soundness of bridges. As a result, it was confirmed that the analysis of line-of-sight information on images is effective in extracting tacit knowledge. And useful materials were obtained that contribute to the improvement of diagnosis accuracy by unskilled workers.
