Construction method of power transmission fitting dynamic matrix defect focusing algorithm
By constructing a dynamic matrix defect focus algorithm for power transmission tools, combining dynamic weight allocation, multi-frequency signal fusion and deep learning models, the problem of internal defect detection of complex structural tools in the existing technology is solved, and efficient and accurate defect detection and three-dimensional imaging is achieved, which significantly improves detection efficiency and accuracy.
CN119936212APending Publication Date: 2025-05-06GUIZHOU POWER GRID CO LTD
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Patent Information
- Application Number
- CN202411702936.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-26
- Publication Date
- 2025-05-06
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Figure CN119936212A_ABST
Abstract
The invention discloses a construction method of a power transmission fitting dynamic matrix defect focusing algorithm. The construction method comprises the following steps: performing full-matrix capture through a phased array probe, acquiring FMC data, dividing a detection area into a plurality of pixel points, and setting a focusing point; carrying out delay correction on the signal based on propagation time calculation, and carrying out dynamic weight distribution and focusing superposition on the signal after delay correction based on signal quality to generate a signal intensity matrix; and carrying out multi-frequency signal fusion and multi-mode signal conjoint analysis on the superposed signal matrix, generating a three-dimensional imaging graph based on the optimized signal, and carrying out defect feature extraction and classification labeling by using a deep learning model. According to the invention, the power transmission fitting defect detection efficiency and precision are significantly improved, and powerful technical support is provided for safe operation of a power transmission line.
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