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SYSTEM FOR PREDICTING CARBON DIOXIDE EMISSION FROM CONSTRUCTION EQUIPMENT USING ARTIFICIAL NEURAL NETWORK ANALYSIS AND METHOD THEREOF
SYSTEM FOR PREDICTING CARBON DIOXIDE EMISSION FROM CONSTRUCTION EQUIPMENT USING ARTIFICIAL NEURAL NETWORK ANALYSIS AND METHOD THEREOF
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机译:基于人工神经网络分析的建筑设备二氧化碳排放预测系统及其方法
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摘要
The present invention relates to a system and method for predicting carbon dioxide emissions of construction equipment using artificial neural network analysis. According to the present invention, in the method of predicting carbon dioxide emissions using a system for predicting carbon dioxide emissions of construction equipment using artificial neural network analysis, the driving RPM of the CATERPILLAR type construction equipment and the carbon dioxide emissions according to a plurality of field variables are calculated for each Acquiring each case, constructing a database using the carbon dioxide emissions obtained for each case, and applying the database to artificial neural network analysis to generate an algorithm for predicting carbon dioxide emissions according to the driving RPM of the construction equipment step, the weight of the track-type construction equipment to be measured (X 1 ), the bucket capacity of the construction equipment (X 2 ), the year of the construction equipment (X 3 ), the presence or absence of the DPF of the construction equipment ( X 4 ), the temperature (X 5 ), humidity (X 6 ) of the space where the construction equipment is working, the skill level of the worker operating the construction equipment (X 7 ) The state of the construction equipment (X8) and RPM (X9) receiving at least one piece of information from among; predicting carbon dioxide emissions by applying the input information to the prediction algorithm; and calculating total carbon dioxide emissions using the predicted carbon dioxide emissions.
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