• 제목/요약/키워드: AI기반 콘크리트 마감 자동화 시스템

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AI 기반 콘크리트 마감 자동화 시스템용 응결추정계의 Mock-up Test (Mock-up Test of Setting Estimation System For AI-based Concrete Finishing Automation System)

  • 한수환;임군수;한준희;김종;한민철;한천구
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2022년도 가을 학술논문 발표대회
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    • pp.129-130
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    • 2022
  • This study is conducted to identify improvements in the setting time estimation system through the Mock-up test of the finishing automation system and the setting estimation system. As a result of the study, it is necessary to adjust the spring strength of the setting time estimator and the diameter and length of the estimation needle so that the value of the hardness can be measured from 15HD to around 40HD.

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AI 기반 콘크리트 마감 자동화 시스템용 응결추정계의 영향인자 분석 (Analysis of Influence Factors of Setting Time Estimation System for AI-Based Concrete Finishing Automation System)

  • 한수환;후윈야오;김수호;임군수;김종;한민철
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2022년도 가을 학술논문 발표대회
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    • pp.177-178
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    • 2022
  • As part of the study on the development of the setting time estimation system, this study attempted to confirm the change in hardness values for each influencing factor variable and secure its reliability. According to the research results of this paper, the hardness value of the setting time estimation system tended to gradually decrease in the case of the hardness value of the closing time by curing temperature, and the hardness value increased in the concrete state compared to mortar. Therefore, further research on influencing factors will be conducted in consideration of material and statistical factors in the future.

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AI기반 콘크리트 마감 자동화 시스템용 응결추정계의 물시멘트비에 따른 응결추정 평가 (Estimation of Setting Time Applying Setting Estimator for AI Finishing Robot System Depending on Water-Cement Ratio)

  • 박재웅;정준택;임군수;한준희;김종;한민철
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2023년도 가을학술발표대회논문집
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    • pp.17-18
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    • 2023
  • This study aims to compare the hardness value development characteristics according to the water-cement ratio during a series of experiments to develop a setting estimator for an AI-based concrete finishing automation system. For the test variables, water-cement ratios are varied with 30, 40 and 50%. Proctor penetration test and surface hardness test by setting time estimator are conducted to estimate the setting time. For the effect of water-cement ratios, they did not affect the surface hardness either, while initial set time and final set time are not constant with water-cement ratios.

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