输电塔杆的缺陷检测方法、装置、设备和存储介质
By using drones to obtain the location coordinates of transmission towers and employing pre-trained models to identify tower types and defects, the problem of low efficiency in manual inspections has been solved, achieving efficient and accurate tower defect detection and ensuring the safety of transmission towers.
CN118314119BActive Publication Date: 2026-07-17ELECTRIC POWER RES INST CHINA SOUTHERN POWER GRID CO LTD +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ELECTRIC POWER RES INST CHINA SOUTHERN POWER GRID CO LTD
- Filing Date
- 2024-04-30
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Manual inspection of power transmission towers is labor-intensive, slow, and prone to blind spots, which affects the safety and normal operation of the towers.
Method used
UAVs are used to obtain the location coordinates of power transmission towers, and pre-trained target type detection models and defect detection models are used to identify tower types, defect categories and locations, and defect detection information is obtained by combining them.
Benefits of technology
This improved the accuracy and efficiency of defect detection in power transmission towers, reduced the need for manual inspections, and ensured the safety and normal operation of power transmission towers.
✦ Generated by Eureka AI based on patent content.
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Figure CN118314119B_ABST
Abstract
本申请公开一种输电塔杆的缺陷检测方法、装置、设备和存储介质，本申请获取目标输电塔杆的位置坐标；获取目标输电塔杆的图像，利用预先训练的目标类型检测模型处理目标输电塔杆的图像，得到目标输电塔杆的塔杆类型；利用预先训练的目标缺陷检测模型处理目标输电塔杆的图像，得到目标输电塔杆的缺陷类别以及缺陷位置信息；将目标输电塔杆的位置坐标、塔杆类型、缺陷类别以及缺陷位置信息进行组合，得到目标输电塔杆的缺陷检测信息。该方案通过预先训练好的模型识别目标输电塔杆的塔杆类型、缺陷类别以及缺陷位置，相比于人为巡检的方式更精确效率更高，另外再获取目标输电塔杆的位置坐标，以得到缺陷检测信息。
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