PID电子鼻在车内空气质量评价的应用研究

Application of PID electronic nose system in air quality evaluation in vehicle

以便携式PID电子鼻系统作为检测手段,对车内气体VOCs质量分数进行客观检测,同时同步进行车内气体主观评价,并对采集到的数据进行分析.筛选VOCs质量分数特征值,分别建立一元线性回归模型及偏最小二乘回归模型,结果表明,一元线性回归模型对车内气味预测效果较好,预测精度在0.3个气味强度等级之间,同时模型本身拟合效果较好.所建的偏最小二乘回归模型显著性检验结果表明,模型不具有显著相关性,因此不再进行气味强度等级的预测分析.

The portable PID electronic nose system was used to detect the VOCs content in the vehicle, and the subjective evaluation of the gas in the vehicle was carried out simultaneously, then to analyze the collected data. Firstly, to select the characteristic values of VOCs concentration. Secondly, to establish the linear regression model and partial least square regression model, respectively. The results showed that the linear regression model had a good effect on the odor prediction of the vehicle, and the precision of prediction was between 0.3 odor intensity grades. At the same time, the fitting effect of the model itself was better. The results of significance test of the established partial least squares regression model showed that the model had no significant correlation, it was no longer used to predict the odor intensity grade.