維持管理(耐候性鋼)(1)

[I-06] Development of Judgement Support System of Surface Preparation for Steel Structures using Deep Learning

〇Makoto Ohya¹, Masamichi Takebe¹, Nozomu Hirose¹, Atsumi Imai², Hiroaki Matsumoto², Taiki Suwa³, Izumi Shota⁴ (1.National Institute of Technology, Matuse College, 2.Nippon Steel Anti-Corrosion Co.,LTD., 3.Kanazawa University, 4.Ehime University)

Keywords:weathering steel bridge, surface preperration, preperration grade, deep learning

In this paper, we try to develop a system that supports the judgment of the preparation grade on steel surface before repair coating using Deep Learning. This study targets rust grade D of weathering steels. As training data for deep learning, we use blasted images pre-graded by experts. An unknown image is applied to the established system, and it is evaluated whether it can be appropriately classified into four classes from ISO Sa1 1/2 to Sa3. Two approaches were tried to solve this problem. It was confirmed that the developed system enables highly accurate classification of the preparation grade of rust removal after blasting.