适用于移动端的输电线路鸟类检测算法研究  

Research on Bird Detection Algorithm for Transmission Lines Applicable to Mobile Terminal

作　　者：崔文超[1] 李渊博 王敏鉴 CUI Wen-chao;LI Yuan-bo;WANG Min-jian(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)

机构地区：[1]华北电力大学控制与计算机工程学院

出　　处：《计算机与现代化》2020年第2期110-114,共5页Computer and Modernization

基　　金：国家自然科学基金资助项目(61300132)

摘　　要：输电线路安全是电网安全稳定运行的前提,但是频繁的鸟类活动却给输电线路造成了严重影响。为解决传统驱鸟方式的弊端,研究人员采用深度学习算法进行鸟类检测,然而深度学习算法需运行在性能好的服务器上,这必然会造成网络时延,无法做到实时驱鸟,所以应在移动端进行鸟类检测,但现有的目标检测算法模型较大,无法直接应用在移动端,因此本文提出一种适用于移动端的YOLO v3输电线路鸟类检测算法,将YOLO v3模型中的基础网络darknet-53替换成轻量级的特征提取网络MobileNet,实现了移动端输电线路鸟类检测。实验结果表明,在输电线路鸟类检测任务中,该模型准确率可达到83.57%,检测速度达到61 fps,可在内存4 GB的移动端平台稳定运行,能够满足输电线路鸟类检测任务的精度要求及实时性要求,具有良好的应用前景。Transmission line safety is the premise of safe and stable operation of the power grid,but frequent bird activities have seriously affected the transmission line.In order to solve the drawbacks of the traditional bird-repelling method,the researchers use deep learning algorithms for bird detection.However,deep learning algorithm needs to run on a server with good performance,which will inevitably cause network delay and cannot be used to drive birds in real time.Therefore,bird detection should be carried out at the mobile terminal,but the existing target detection algorithm model is large and cannot be directly applied to the mobile terminal.Therefore,this paper proposes a bird detection algorithm for transmission line suitable for mobile terminal,which will be in the YOLO v3 model.This algorithm replaces the basic network darknet-53 in YOLO V3 model with the lightweight feature extraction network MobileNet,which achieves bird detection of transmission lines at mobile terminal.The experimental results show that the accuracy of the model can reach 83.57%and the detection speed reaches 61 fps in the bird detection task of the transmission line.It can be stably operated on the mobile terminal platform of 4 GB memory,which can meet the accuracy and real-time requirements of the bird detection task of transmission line and have a good application prospect.

关 键 词：输电线路 移动端 鸟类检测 YOLO V3 深度学习 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]