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 自動化工程學院，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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