A power distribution component overheat detection method and system fusing visual and textual information, medium and product

CN122416019APending Publication Date: 2026-07-17ELECTRIC POWER RES INST OF GUANGDONG POWER GRID CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing infrared overheat detection technology for UAV power distribution components suffers from problems such as blurred target boundaries, high false detection and false negative rates, and lack of understanding of the semantic structure of power equipment and adaptability to complex environments in complex backgrounds, low light, and temperature fluctuation environments.

Method used

The detection method integrates visual and textual information. By introducing an instance segmentation model and a large language model, a segmentation mask is generated, temperature features are extracted and normalized, and the total score is calculated by combining the overheating probability, so as to achieve accurate overheating determination of power distribution components.

Benefits of technology

It significantly reduces the false detection and false negative rates, improves the recognition accuracy and adaptability in complex environments, and ensures the accuracy and reliability of overheat detection.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122416019A_ABST
    Figure CN122416019A_ABST
Patent Text Reader

Abstract

本发明公开了一种融合视觉与文本信息的配电部件过热检测方法、系统、介质及产品,涉及电力系统运维领域,所述方法包括:利用实例分割模型根据红外图像生成分割掩码,提取配电部件的温度特征并进行过热筛查和归一化处理得到归一化值,依据分割掩码裁剪红外图像中对应配电部件区域并生成过热概率,结合归一化值与过热概率计算总评分,基于总评分判定配电部件是否过热。本发明提出一种融合视觉与文本信息的配电部件过热检测方法、系统、介质及产品,通过归一化值与过热概率的融合评分判定过热状态,能够解决现有无人机配电部件红外过热检测技术缺乏对电力设备语义结构的理解与复杂环境适应能力,导致在复杂场景下过热识别误检漏检率高的问题。
Need to check novelty before this filing date? Find Prior Art