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Approach to multispectral thermometry with Planck formula and hybrid metaheuristic optimization algorithm.

Baolin Zhao, Kaihua Zhang, Longfei Li

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    This study introduces a new multispectral thermometry model using the Planck formula for accurate non-contact temperature measurement. The advanced algorithm significantly improves precision and speed for industrial applications.

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    Area of Science:

    • Physics
    • Engineering
    • Materials Science

    Background:

    • Accurate temperature measurement is crucial for industrial processes and research.
    • Multispectral thermometry offers non-contact temperature measurement but faces data processing challenges.
    • Current methods often rely on the Wien approximation, which has limitations in applicability.

    Purpose of the Study:

    • To develop a novel data processing model for multispectral thermometry.
    • To improve the accuracy and efficiency of non-contact temperature measurements.
    • To address the limitations of the Wien approximation in existing methods.

    Main Methods:

    • A new multispectral thermometry model based on the Planck formula was established.
    • A feasible region constraint method was proposed to manage emissivity ranges.
    • A hybrid metaheuristic optimization algorithm combining differential evolution (DE) and multi-population genetic (MPG) algorithms was employed.

    Main Results:

    • The proposed model demonstrated an average relative error in temperature measurement below 0.42%.
    • A random relative error of less than 0.79% was achieved in experimental silicon carbide measurements.
    • The algorithm achieved an average computation time of approximately 0.26 seconds per temperature inversion.

    Conclusions:

    • The developed Planck formula-based model and hybrid optimization algorithm significantly enhance multispectral thermometry accuracy.
    • The method overcomes the limitations of the Wien approximation, offering broader applicability.
    • The high accuracy and efficiency make the algorithm suitable for real-time industrial temperature monitoring.