基于决策树算法办公室内空气质量评估方法  

Method for Evaluating Air Quality in Offices Based on Decision Tree Algorithm

作　　者：厉明 张立博 刘广东 Li Ming;Zhang Libo;Liu Guangdong(China Green Development Investment Group Co.,Ltd.,Beijing 100020,China)

机构地区：[1]中国绿发投资集团有限公司,北京100020

出　　处：《电气自动化》2024年第3期93-96,共4页Electrical Automation

摘　　要：针对办公室内长期空气不流通、大气污染严重的情况,设计了基于决策树算法的办公室内空气质量评估算法。应用非线性红外NDIR空气浓度分析技术,分析不同气体的光谱波长,有效地评估空气中各气体的浓度;采用基于决策树算法的CART算法,针对数据中基尼值的不同,构建最优分类树和回归树,实现对气体数据的分类和预测;最后采用生物酶包裹降解技术有效快速地降解空气中的污染物,实现室内空气的安全健康。经过试验验证,设计的空气质量评估算法具备绿色环保、高能效和短周期等优点,对空气中污染物综合治理率高达98%。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.

关 键 词：室内空气质量 决策树算法 基尼值 NDIR红外技术 CART算法 生物酶技术 

分 类 号：R122[医药卫生—环境卫生学]