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IJSCER 2023 Vol.12(4): 146-153
doi: 10.18178/ijscer.12.4.146-153

Development of a Real-Time Analysis System for Concrete Compaction Positioning and a Construction Site Trial

Masatoshi Uno1*, Jin Chujo 2, and Ryuichi Imai 3
1. Shimizu Corporation, Tokyo, Japan
2. Create-C Corporation, Tokyo, Japan
3. HOSEI University, Tokyo, Japan
*Corresponding author: uno@shimz.co.jp (M.U.)

Manuscript received July 8, 2023; revised September 22, 2023; accepted October 20, 2023.

Abstract—The environment surrounding the construction industry in Japan is drastically changing with advances in IT (Information Technology). The central reason for this change is the development of AI (Artificial Intelligence) technologies such as deep learning. On the other hand, in concrete works, which are often used in the construction industry, the system of carrying fresh concrete produced at a concrete plant to a construction site using an agitator car, placing concrete in a form, compacting with a vibrator, finishing the surface, and curing the finished concrete surface has hardly changed in more than 30 years. It was confirmed in this study that this system can be used to carry out more effective compaction management by shifting from qualitative management using individual know-how based on the experience of conventional workers to quantitative management based on AI analysis using images.

Keywords—concrete site, compaction work, image processing, deep learning, convolutional neural network

Cite: Masatoshi Uno, Jin Chujo, and Ryuichi Imai, "Development of a Real-Time Analysis System for Concrete Compaction Positioning and a Construction Site Trial," International Journal of Structural and Civil Engineering Research, Vol. 12, No. 4, pp. 146-153, November 2023. doi: 10.18178/ijscer.12.4.146-153

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.