Observational analysis reveals accurate temperature self-detection in power equipment, indicating improved monitoring methods.
Real-time monitoring and scientific warnings regarding local overheating are crucial for power equipment. However, existing temperature measurement methods have shortcomings. To facilitate timely detection of abnormal heating in a timely manner, a reversible color-changing composite material temperature measurement method for temperature self detection of power equipment. This study examines the color simulation method and temperature distribution characteristics are studied. By extracting color simulation feature parameters (saturation, color difference) of reversible color changing composite materials, The degree of color change process is quantitatively characterized. It can be obtained that solid colors (red, blue) as the preferred characteristic colors for composite materials. Based on simulation results, a reversible color changing composite material with color changing characteristics of of the simulation results. In addition, simulation research and experimental verification were conducted on the temperature distribution characteristics of metal material power equipment. The results showed that the surface temperature distribution of power equipment exhibited a gradually decreasing trend in the form of a negative exponential power. The difference between the measured temperature and the simulated temperature values is small, which verifies the accuracy of the simulation calculation results. The research results can provide theoretical reference for on-site power equipment thermal fault detection and heat source localization.
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Dong et al. (2025) studied this question.
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