A Spectral Analysis Method Based on Direct Absorption Intensity Reconstruction for Rapid Real-Time CO Detection

Area of Science:

• Analytical Chemistry
• Spectroscopy
• Combustion Science

Background:

• Carbon monoxide (CO) concentrations fluctuate rapidly during combustion, necessitating real-time detection for safety and health.
• Direct absorption spectroscopy (DAS) offers timeliness and stability for CO monitoring but suffers from slow fitting and optical noise sensitivity.
• Current algorithms for DAS lack standardized usage protocols, hindering accurate concentration inversion.

Purpose of the Study:

• To develop a spectral analysis method for rapid, real-time CO detection in combustion environments.
• To improve the accuracy and efficiency of CO concentration inversion using DAS.
• To establish usage standards for reference signals in spectral analysis.

Main Methods:

• Introduced a spectral analysis method based on direct absorption intensity reconstruction using only the original measurement signal.
• Established usage standards for reference signals by calculating root-mean-square error (RMSE) and correlation coefficient (ρ).
• Did not require complex modulation techniques or large-scale numerical operations.

Main Results:

• The method achieved rapid, real-time CO detection with response times within 4 seconds.
• Signal-to-noise ratio (SNR) improvements exceeded 2-fold.
• RMSE between reconstructed and measured results remained below 1 × 10^-3 with ρ > 0.95, and R² for concentration inversion reached 0.9998.

Conclusions:

• The developed spectral analysis method provides accurate and fast real-time CO detection for combustion scenarios.
• The method overcomes limitations of traditional DAS, offering improved accuracy and standardized signal usage.
• This technique meets the stringent requirements for fast, real-time CO monitoring in combustion safety and health applications.