Proceedings of the Korean Institute of Building Construction Conference (한국건축시공학회:학술대회논문집)

The Korean Institute of Building Construction (한국건축시공학회)
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A Basic Study on the Development of Compressive Strength Prediction System for Blast Furnace Slag Contained Concrete using IoT Sensor

IoT센서를 이용한 고로슬래그 혼입 콘크리트의 압축강도 예측 시스템 개발에 관한 기초 연구

  • 김한솔 (한양대학교 건축시스템공학과) ;
  • 장종민 (한양대학교 건축시스템공학과) ;
  • 민태범 (성신양회 기술연구소) ;
  • 이한승 (한양대학교 ERICA 건축학부)
  • Published : 2020.06.12
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Abstract

The change of temperature and humidity in early-age concrete has a great influence on the durability of the structure. In this study, a reliable wireless sensor network system and a concrete embedded type Compressive strength prediction sensor were designed using the Arduino platform. The accuracy of the compressive strength prediction sensor was verified through a mock-up experiment, and it was confirmed that the experiment had sufficient accuracy to be used in the field environment.

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