Flame spectra-temperature estimation based on a color imaging camera and a spectral reconstruction technique

Area of Science:

• Combustion diagnostics
• Optical sensing
• Spectroscopy

Background:

• Accurate flame temperature measurement is crucial for combustion process optimization and safety.
• Existing methods for flame analysis can be costly and complex.

Purpose of the Study:

• To develop a low-cost, practical system for pixel-based flame spectrum and temperature estimation.
• To enable real-time flame sensing for combustion monitoring applications.

Main Methods:

• Utilized a color camera and a linear model for spectral reconstruction.
• Employed flame spectral training data and a spectral reconstruction procedure.
• Applied two-color pyrometry using reconstructed radiometric images at different wavelengths.

Main Results:

• Achieved a spectral resolution of approximately 0.4 nm.
• Estimated flame temperatures with an error of about 2.0%.
• Validated estimated spectra against measurements from a commercial spectrometer.

Conclusions:

• The proposed system offers a practical and cost-effective solution for flame spectrum and temperature estimation.
• This technology can significantly enhance flame sensing capabilities in combustion monitoring.
• The system demonstrates high accuracy and potential for industrial applications.