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

한국건축시공학회 (The Korean Institute of Building Construction)
권호 표지

인공신경망 모델 구축을 통한 건설장비별 이산화탄소 배출량 예측

Development of Artificial Neural Network Model for Predicting Carbon Dioxide Emissions by Construction Equipment

  • 임소민 (인하대학교 건축학부 건축공학과) ;
  • 노상우 (인하대학교 건축학부 건축공학과) ;
  • 김하윤 (인하대학교 건축학부 건축공학과) ;
  • 이민우 (인하대학교 건축학부 건축공학과) ;
  • 한승우 (인하대학교 건축학부 건축공학과)
  • 발행 : 2020.06.12
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초록

In this paper, we intended to present a model for estimating carbon dioxide emissions by work of construction equipment using Artificial Neural Network(ANN) analysis. In this study, data of excavators and trucks are classified according to the work carried out, and carbon dioxide emissions are predicted through ANN based on equipment information and work information. As a result, the effect of each model was validated, and a carbon dioxide emission prediction model was derived for each work. This has the expected effect of establishig an eco-friendly process plan using this model from the construction planning stage.

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