Composite insulating material detection method, device and equipment based on terahertz spectrum

By employing terahertz spectroscopy and data processing methods, the challenge of assessing the aging and defect states of composite insulation materials has been solved, enabling efficient and accurate detection and improving the safety and reliability of power systems.

CN122306741APending Publication Date: 2026-06-30STATE GRID GANSU ELECTRIC POWER RESEARCH INSTITUTE +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE GRID GANSU ELECTRIC POWER RESEARCH INSTITUTE
Filing Date
2026-03-06
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing testing methods are unable to efficiently integrate information related to the aging and defect states of composite insulation materials, making it difficult to accurately assess their performance.

Method used

A terahertz-based detection method for composite insulating materials is adopted. By acquiring terahertz time-domain spectrum, frequency-domain spectrum and imaging data, multi-scale decomposition is performed using super-resolution convolutional neural network and stationary wavelet transform. Combined with principal component analysis and target detection model, aging score and defect identification results are generated.

Benefits of technology

It enables accurate assessment of the aging and defect states of composite insulation materials, improves the efficiency and reliability of detection information generation, and can promptly detect hidden defects, ensuring the stable operation of the power system.

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Abstract

This application relates to the fields of power technology and non-destructive testing technology. It discloses a method, apparatus, and equipment for detecting composite insulation materials based on terahertz spectroscopy. The method includes: acquiring data of the current composite insulation material in the power system; stitching together the characteristics of the terahertz time-domain spectrum, the characteristics of the terahertz frequency-domain spectrum, and the characteristics of the enhanced terahertz imaging of the current composite insulation material to generate a stitched feature; inputting the stitched feature into a target detection model to generate a defect identification result for the current composite insulation material; and encapsulating the aging level and defect identification result of the current composite insulation material to generate detection information. This application is beneficial for improving the safety and reliability of transmission line operation.
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