Method and system for evaluating risk degree of mechanical property of defective basin-type insulator based on infrared imaging
By using infrared imaging technology and COMSOL simulation, the problem of insufficient resolution in infrared thermal wave detection has been solved, enabling accurate identification and mechanical performance evaluation of bubble defects in basin insulators. This improves the accuracy and reliability of detection and promotes resource utilization and sustainable development in the power industry.
Patent Information
- Application Number
- CN202510766479.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-10
- Publication Date
- 2025-11-11
AI Technical Summary
Existing infrared thermal wave detection technology has limited resolution, making it difficult to accurately detect tiny bubble defects inside basin insulators, which affects the accuracy of their mechanical performance assessment.
Infrared radiation signals during temperature changes are collected using infrared imaging technology to generate time-series temperature field distribution data. By combining wavelet transform and fuzzy algorithm, bubble defects are identified, and mechanical performance is evaluated using COMSOL simulation.
This improves the accuracy and reliability of mechanical performance assessment of defective pot insulators, avoids resource waste and power transmission interruptions caused by misjudgment of pot insulators, and promotes the maximization of resource utilization and the sustainable development of the power industry.