基于感受野模塊的絕緣子實時識別定位方法
吉志朋1,張國偉1,盧秋紅2
(1 上海電力大學(xué) 自動化工程學(xué)院,上海 200082;2 上海合時智能科技有限公司,上海 201100)
摘 要:針對使用無人機進行絕緣子識別實時性的要求,以感受野模塊(RFB)網(wǎng)絡(luò)為基礎(chǔ),提出了一種基于RFB模型改進的輕量型架構(gòu)。使用MobileNetV3網(wǎng)絡(luò)作為特征提取主干,設(shè)計了新的感受野模塊RFB-X,并使用Focal-loss損失函數(shù)解決正負(fù)樣本不平衡問題。實驗結(jié)果表明,該模型提高了絕緣子的檢測速度和準(zhǔn)確率。
關(guān)鍵詞:輕量型模型;感受野模塊;無人機;絕緣子檢測;實時性
中圖分類號:TM216 文獻標(biāo)識碼:A 文章編號:1007-3175(2020)09-0019-04
Real Time Detection of Insulator by RFB
JI Zhi-peng1, ZHANG Guo-wei1, LU Qiu-hong2
(1 School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200082, China;
2 Shanghai Heshi Intelligent Technology Co., Ltd, Shanghai 2011 00, China)
Abstract: In response to the real-time requirements of using UAVs for insulator identification, based on the receptive field module (RFB) network, a lightweight architecture based on the improvement of the RFB model is proposed. Firstly, mobile MobileNetV3 is used as the main feature extraction module, then a new receptive field module RFB-X is designed, and finally the Focal-loss function is used to solve the imbalance of positive and negative samples. Experiments show that the model improves the speed and accuracy of insulator detection.
Key words: lightweight model; RFB; UAV; insulator detection; real time
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