东北电力技术2026，Vol.47Issue(9)：33-37,5.
多成像融合的带电作业区域预测算法研究
Research on Prediction Algorithms for Live Working Areas Based on Multi-Imaging Fusion
孙学斌 1王家峰 1刘世健 1孙绍郁 1刘永辉1
作者信息
- 1. 国网辽宁省电力有限公司鞍山供电公司,辽宁 鞍山 114002
- 折叠
摘要
Abstract
To ensure the safety of live working operaters,it proposes a live working area prediction algorithm based on the fusion of visible light and infrared imaging and the improved you only look once version 8(YOLOv8)algorithm model.It improves the accuracy and reliability of the live working boundary through the multimodal data complementarity method.Firstly,among these improvements,it introduces the simple parameter-free attention module(SimAM)attention mechanism into YOLOv8 to enhance feature extraction ca-pabilities.Secondly,it incorporates adaptive deformable convolution adaptive deformable convolution v2(A-DCNv2)to improve the detection accuracy of small targets.Finally,it fuses the visible light detection results with infrared temperature data using an adaptive weighted fusion algorithm to optimize boundary determination,ensuring precise positional matching between high/low-temperature areas and visual targets.Experimental results demonstrate that the proposed algorithm enhances the model's robustness for target detection with almost no increase in computational load.关键词
YOLOv8/SimAM注意力机制/多模态融合/带电作业Key words
YOLOv8/SimAM attention mechanism/multimodal fusion/live working分类
信息技术与安全科学引用本文复制引用
孙学斌,王家峰,刘世健,孙绍郁,刘永辉..多成像融合的带电作业区域预测算法研究[J].东北电力技术,2026,47(9):33-37,5.
