Self-adaptive detection method and system for defects of power transmission line
The adaptive detection method for power transmission lines uses deep learning and adaptive algorithms to enhance defect detection efficiency and precision, addressing the limitations of traditional methods and ensuring power system safety and reliability.
CN119723287APending Publication Date: 2025-03-28ANHUI JIYUAN SOFTWARE CO LTD
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Patent Information
- Application Number
- CN202411797230.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-09
- Publication Date
- 2025-03-28
AI Technical Summary
Technical Problem
Traditional methods for detecting defects in power transmission lines are time-consuming, inefficient, and lack precision, posing risks to the stability and safety of the power system.
Method used
An adaptive detection method and system that utilizes a patrol device to collect and preprocess images, trains a deep learning model, and applies adaptive algorithms to optimize the detection model for accurate defect identification and location, reducing human intervention and enhancing efficiency and accuracy.
Benefits of technology
The method significantly improves the efficiency and accuracy of defect detection in power transmission lines, ensuring the safety and reliability of the power system by adapting to image and model parameters based on original data.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to the field of power transmission lines, and discloses a self-adaptive detection method and system for defects of a power transmission line. The method comprises the following steps: acquiring an original image set of a power transmission line by adopting inspection equipment, and preprocessing the original image set to generate a defect training set; training a deep learning algorithm by adopting the defect training set to obtain a detection model; adjusting and optimizing the detection model by adopting a self-adaptive algorithm to obtain a self-adaptive detection model; and performing defect discrimination and positioning on an image of a to-be-detected power transmission line by using the adaptive detection model. According to the method, self-adaptive adjustment is carried out through the self-adaptive detection model according to the original information of the image, the parameters of the image and the detection parameters of the model are adjusted, the defect detection efficiency and the defect detection accuracy of the power transmission line are improved, the risk of manual detection is reduced, and the safety and reliability of the power transmission line and a power system are guaranteed.
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