高电压技术2026，Vol.52Issue(7)：3052-3063,12.DOI:10.13336/j.1003-6520.hve.20260451
基于异构协同与跨尺度并行注意力融合的覆冰检测模型
Icing Detection Model Based on Heterogeneous Collaboration and Cross-scale Parallel Attention Fusion
摘要
Abstract
To solve the problem that transmission line icing data are affected by environmental and climatic factors and exhibit complex spatiotemporal characteristics,this paper proposes an automatic icing detection model named HCNNs based on heterogeneous collaboration and cross-scale parallel attention fusion.The model consists of three heterogeneous sub-classifiers working collaboratively.According to the classification error rate of the current classifier,a dynamic weight adjustment mechanism is used to guide subsequent sub-classifiers to focus on the misclassified samples of previ-ous components.By leveraging heterogeneous characteristics to extract diverse features,the model achieves collaborative coupling among components and improves recognition accuracy.In addition,a parallel fusion attention mechanism(PFA)is proposed and embedded into the HCNNs model.Global pooling and local pooling operations are introduced to decou-ple convolutional layer features and achieve cross-scale fusion,thereby optimizing the feature extraction capability of the model.Based on the field monitoring data of transmission line icing states obtained by using distributed optical fiber acoustic sensing technology,including no icing,first-level icing,and second-level icing conditions,the performance of the proposed algorithm is analyzed.The results demonstrate that the HCNNs model achieves a recognition accuracy of 97.14％,precision of 98.26％,recall of 99.30％,and F1-score of 98.78％,outperforming the compared models.The pro-posed method provides a valuable reference for icing severity detection of long-distance overhead transmission lines.关键词
输电线路/覆冰检测/分布式光纤声波传感/深度学习/并行融合注意力机制/异构协同Key words
transmission line/icing detection/distributed fiber optic acoustic sensing/deep learning/parallel fusion at-tention mechanism/heterogeneous collaboration引用本文复制引用
王健健,王茹妍,王然,谢晓宇,尚秋峰..基于异构协同与跨尺度并行注意力融合的覆冰检测模型[J].高电压技术,2026,52(7):3052-3063,12.基金项目
国家自然科学基金(62205105) （62205105）
河北省省级科技计划项目(SZX2020034).Project supported by National Natural Science Foundation of China(62205105),Hebei Provincial Science and Technology Plan Project(SZX2020034). （SZX2020034）
