日本建築学会技術報告集
Online ISSN : 1881-8188
Print ISSN : 1341-9463
ISSN-L : 1341-9463
材料施工
AI技術を適用したコンクリートの練混ぜ過程におけるスランプ予測手法の開発
早野 博幸
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ジャーナル フリー

2021 年 27 巻 65 号 p. 13-17

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Slump, an index that indicates the consistency of fresh concrete before it sets, is one of the most important quality measurement criteria. Fundamental technology that contributes to stabilized concrete manufacturing to instantly predict the slump of mixed concrete with high accuracy using Artificial Intelligence (AI) has developed. In this experiment, the method using deep learning and image recognition techniques of AI could to predict the slump from an image of concrete mixing in a mixer, with an extremely high accuracy rate of over 99% within a measured value ± 2.5 cm.

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