Open AccessResearch on O3 Concentration Monitoring Data in Aircraft Cabin
Author(s) -
Xu E,
Yuye Xu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1616/1/012064
Subject(s) - autoregressive integrated moving average , interpolation (computer graphics) , linear interpolation , missing data , calibration , environmental science , statistics , computer science , meteorology , mathematics , time series , artificial intelligence , geography , pattern recognition (psychology) , motion (physics)
The paper explored the hourly and daily characteristics of O 3 concentration monitoring data in aircraft cabin by micro air monitor, and proposed the additive model for O 3 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 O 3 was reconstructed based on linear interpolation filling. The error analysis showed that the accuracy of O 3 was improved. The prediction effect was also improved by considering the interaction effect.