Advanced multispectral thermometry method based on an improved light spectrum optimizer for reliable temperature and...

Area of Science:

• Physics
• Optical Engineering
• Metrology

Background:

• Multispectral thermometry enables non-contact temperature and emissivity measurement.
• Current methods face challenges in data processing, real-time inversion, and emissivity-wavelength relationship modeling.

Purpose of the Study:

• To develop an advanced multispectral thermometry method for accurate temperature and emissivity inversion.
• To overcome limitations of existing techniques, enabling real-time processing without emissivity-wavelength modeling.

Main Methods:

• An improved light spectrum optimizer incorporating the Cauchy distribution inverse cumulative function for accelerated convergence.
• Direct processing of multispectral data using Planck's law, avoiding Wien's approximation and emissivity-wavelength relationship modeling.
• Real-time inversion of temperature and emissivity.

Main Results:

• The proposed method accurately determines temperature and emissivity with minimal relative error.
• Validation through simulations and real experiments using a Fourier transform spectrometer.
• Successful acquisition of multispectral data from blackbody and high-temperature targets.

Conclusions:

• The developed multispectral thermometry method offers a significant enhancement over traditional techniques.
• The approach demonstrates feasibility and reliability for practical applications.
• This advancement promises improved non-contact temperature and emissivity measurement capabilities.