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

인공신경망 모델 구축을 통한 건설장비별 이산화탄소 배출량 예측

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.