Method for Evaluating Air Quality in Offices Based on Decision Tree Algorithm
A decision tree algorithm-based office air quality assessment algorithm was designed to address the long-term lack of air circulation and severe air pollution in the office.The nonlinear infrared NDIR air concentration analysis technology was applied to analyze the spectral wavelengths of different gases and effectively evaluate the concentration of each gas in the air;using the CART algorithm based on decision tree algorithm,the optimal classification tree and regression tree were constructed for different Gini values in data to achieve classification and prediction of gas data;finally,biological enzyme encapsulation degradation technology was used to effectively and quickly degrade pollutants in the air,achieving the safety and health of indoor air.After experimental verification,the designed air quality assessment algorithm has the advantages of green environmental protection,high energy efficiency,and short cycle,with a comprehensive treatment rate of up to 98％for air pollutants.
indoor air qualitydecision tree algorithmGini valueNDIR infrared technologyCART algorithmbiological enzyme technology
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