Research on O3 Concentration Monitoring Data in Aircraft Cabin

Author:

Xu Enhua,Xu Yan

Abstract

Abstract The paper explored the hourly and daily characteristics of O3 concentration monitoring data in aircraft cabin by micro air monitor, and proposed the additive model for O3 considering the influence of internal and external factors. Linear interpolation filling the missing values could effectively solve the problem of data missing and improved the effect of the addictive model of ARIMA and multiple regressions. The addictive calibration model by ARIMA and Multiple regressions for O3 was reconstructed based on linear interpolation filling. The error analysis showed that the accuracy of O3 was improved. The prediction effect was also improved by considering the interaction effect.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

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