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Chamberless NDIR CO2 Sensor Robust against Environmental Fluctuations.

Mostafa Vafaei1, Amir Amini1

  • 1Department of Electrical Engineering, College of Technical and Engineering, West Tehran Branch, Islamic Azad University, Tehran 1461988631, Iran.

ACS Sensors
|March 30, 2021
PubMed
Summary

This study developed a chamberless nondispersive infrared (NDIR) gas sensor to accurately measure carbon dioxide (CO2) levels by compensating for environmental temperature and humidity fluctuations. The novel sensor design and ensemble regression model achieved high accuracy, reducing response drift for industrial applications.

Keywords:
CO2 gas measurementXGBoost ensemble regression modelchamberless approachdrift compensationhumidity fluctuationnondispersive infrared (NDIR)temperature fluctuation

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Area of Science:

  • Environmental Science
  • Sensor Technology
  • Analytical Chemistry

Background:

  • Ambient air fluctuations, including temperature and relative humidity, significantly impact the accuracy of carbon dioxide (CO2) measurements.
  • Drift-like sensor responses caused by environmental variations necessitate compensation for reliable CO2 concentration assessment.

Purpose of the Study:

  • To investigate the combined effects of environmental temperature and relative humidity on nondispersive infrared (NDIR) gas sensor responses.
  • To develop and validate a compensation model for drift-like variations in NDIR CO2 sensors under fluctuating ambient conditions.

Main Methods:

  • A chamberless NDIR gas sensor was designed with a light source, parabolic reflector, thermopile detector, and reflective walls.
  • Experiments were conducted to measure sensor responses at various CO2 concentrations under different temperature and humidity levels.
  • An ensemble regression model was employed to predict CO2 concentration by incorporating sensor responses, temperature, and humidity as inputs.

Main Results:

  • The developed model effectively compensated for environmental fluctuations, reducing drift-like sensor response variations.
  • The sensor and model achieved high accuracy, with test data yielding 99.83% and validation data yielding 98.90%.
  • The chamberless design improved response linearity and reduced diffusion time.

Conclusions:

  • The chamberless NDIR sensor with an ensemble regression model provides accurate and reliable CO2 measurements, even under varying environmental conditions.
  • The system effectively eliminates drift-like variations, demonstrating its suitability for industrial CO2 monitoring applications.