A multi-spectral temperature measurement method based on color temperature difference.

Area of Science:

• Physics
• Engineering
• Materials Science

Background:

• Accurate temperature measurement is critical for manufacturing, industrial processes, and scientific research.
• Existing thermometry methods can be limited by spectral range and emissivity complexity.

Purpose of the Study:

• To develop a multi-spectral thermometry method using the gray body hypothesis and color temperature difference.
• To enhance measurement accuracy and experimental efficiency in temperature determination.

Main Methods:

• Utilizes a multi-spectral thermometer to measure gray values of target and reference pixels.
• Derives 3n equations from Wien's displacement law for an n-channel thermometer.
• Employs least squares fitting to determine color temperature and gray body emissivity, minimizing variance for accurate temperature readings.

Main Results:

• Achieves measurement accuracy with an error of less than 1%.
• Reduces the number of required spectral channels and simplifies emissivity modeling.
• Demonstrates validity through gas discharge temperature measurements, cross-verified with rotational temperature data.

Conclusions:

• The proposed multi-spectral thermometry method offers a robust and efficient approach for accurate temperature measurement.
• The technique is applicable in practical scenarios, as confirmed by experimental validation.
• This method overcomes limitations of traditional thermometry, paving the way for improved industrial and research applications.