基于感受野模塊的絕緣子實(shí)時(shí)識(shí)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(dòng)化工程學(xué)院，上海 200082；2 上海合時(shí)智能科技有限公司，上海 201100）
摘 要：針對(duì)使用無人機(jī)進(jìn)行絕緣子識(shí)別實(shí)時(shí)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(jìn)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(jì)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(shí)驗(yàn)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(jī)；絕緣子檢測；實(shí)時(shí)性
中圖分類號(hào)：TM216 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：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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