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An Intelligent Multi-Emissivity Infrared Temperature Correction Method for Substation Equipment Based on Semantic
Sheng Han1, Jialong Dong1, Yafei Huang2
1Key Laboratory of Cleaner Intelligent Control on Coal & Electricity, Taiyuan University of Technology, Taiyuan 030600, China.
Sensors (Basel, Switzerland)
|August 13, 2026
Summary
This study introduces an intelligent multi-emissivity method to improve infrared temperature accuracy for substation equipment. The new approach significantly reduces temperature measurement deviations by assigning specific emissivity values to different components.
Area of Science:
- Engineering
- Materials Science
- Computer Science
Background:
- Infrared thermography is vital for substation equipment inspection.
- Accurate temperature measurement is hindered by varying material emissivities and complex equipment structures.
- Existing methods struggle to assign individual emissivity values, impacting accuracy.
Purpose of the Study:
- To develop an intelligent multi-emissivity temperature correction method for infrared images of substation equipment.
- To enhance the accuracy of infrared temperature measurements in complex substation environments.
- To address the limitations of uniform emissivity assumptions in thermography.
Main Methods:
- Established a temperature-emissivity correction function.
- Collected and annotated 2189 infrared images of substation equipment at the pixel level.
- Trained a DeepLabv3+ based model for equipment component segmentation.
- Applied pixel-level emissivity correction based on segmented components.
Main Results:
- Successfully segmented substation equipment components using DeepLabv3+.
- Regenerated infrared pseudo-color images with corrected temperatures.
- Reduced the average deviation between infrared temperature measurements and thermocouple readings by 79.2%.
Conclusions:
- The proposed intelligent multi-emissivity method significantly improves infrared temperature measurement accuracy for substation equipment.
- Component-specific emissivity correction is effective in complex industrial settings.
- This technique offers a practical solution for accurate thermographic inspection of critical infrastructure.