品質管理・検査／ポンプ圧送

[V-411] Study on automatic compaction judgment system for concrete instead of visual judgment

〇Toshinari Hayashi¹, Ryoichi Takagi¹, Atsushi Saito¹, Shigemi Nagata², Takeru Shiohama² (1.Hazama Ando Corporation, 2.Kanazawa Institute of Technology)

Keywords:compaction, completion judgement, AI, deep learning, mesh area

Judgment of the degree of compaction and the time of completion of compaction has been made with visual judgment and feeling based on the experience of engineers.
Therefore, the authors have proposed and evaluated a concrete compaction judgment system based on deep learning, which can be an alternative to the conventional visual judgment. In this paper, we describe a verification test of a practical system that can realize detailed judgment for each small area, which is developed from the concrete compaction completion judgment system proposed so far, and confirmed its usefulness.