Japan Society of Civil Engineers 2019 Annual Meeting

Presentation information

第V部門

締固め

Thu. Sep 5, 2019 10:25 AM - 11:55 AM V-5 (幸町北5号館 第4会議室)

座長:橋本 紳一郎(千葉工業大学)

[V-516] Study on automation of concrete compaction work

*林 俊斉1、髙木 亮一1、長田 茂美2、米澤 康太2 (1. 株式会社安藤・間、2. 金沢工業大学)

Keywords:Compaction, Completion judgment, Automation, AI, Deep learning

It is basic to carry out the compaction of concrete while checking it visually. For many years, concrete completion judgment has been made by visual judgment based on the senses and experience of skilled engineers. However, in view of the situation where the shortage of engineers accelerates in the future, there is a need to quantify the completion judgment, develop techniques for securing quality and improving productivity by mechanization or automation of compaction. In this study, we aimed to realize a highly accurate and inexpensive compaction judgment system, and verified whether the compaction completion judgment based on AI could substitute for the conventional visual judgment.

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