MicrocomputerApplicationsVol.39,No.8,2023文章编号：1007-757X（2023)08-0193-04开发应用基于无人机影像的输电线路自动巡检系统微型电脑应用2023年第39卷第8期蒙华伟，刘高，王丛，郭圣，罗李毅（广东电网有限责任公司，广东，广州510160）摘要：为了有效确保输电线路安全性，增强无线通信功能，设计了基于无人机影像的输电线路自动巡检系统。搭建无人机巡检环境，采用无线通信模块实现无人机与地面站连接功能，利用导航模块调整无人机飞行路线和角度，使用巡检任务管理模块生成巡检任务，基于单目视觉算法获取无人机与输电线路之间安全距离。通过接收输电线路巡检影像，利用卷积神经网络模型识别输电线路巡检影像内存在的输电线路缺陷，引入ELU非线性激活函数实现输电线路自动巡检。实验结果表明，该系统具备较强的无线通信功能，且对焦耗时较短、运行稳定性较好，可有效确保输电线路安全性。关键词：无人机影像；输电线路；自动巡检系统；无线通信；单目视觉测距中图分类号：TM755文献标志码：AAutomaticInspectionSystemforTransmissionLinesBasedonUAVImageMENGHuawei,LIUGao,WANGCong,GUOSheng,LUOLiyi(GuangdongPowerGridCo.,Ltd.,Guangzhou510160,China)Abstract:Inordertoeffectivelyensurethesafetyoftransmissionlineandenhancethewirelesscommunicationfunction,anau-tomaticinspectionsystemoftransmissionlinebasedonUAVimageisdesigned.TheUAVpatrolenvironmentisbuilt,thewirelesscommunicationmoduleisusedtorealizetheconnectionfunctionbetweentheUAVandthegroundstation,thenaviga-tionmoduleisusedtoadjusttheflightrouteandangleoftheUAV,andthepatroltaskmanagementmoduleisusedtogeneratethepatroltask,Basedonmonocularvisionalgorithm,thesafedistancebetweenUAVandtransmissionlineisobtained.Byre-ceivingthetransmissionlineinspectionimage,theconvolutionneuralnetworkmodelisusedtoidentifythetransmissionlinede-fectsinthetransmissionlineinspectionimage,andtheELUnonlinearactivationfunctionisintroducedtorealizetheautomaticinspectionoftransmissionline.Theexperimentalresultsshowthatthesystemhasstrongwirelesscommunicationfunction,shortfocusingtimeandgoodoperationstability,whichcaneffectivelyensurethesafetyoftransmissionline.Keywords:UAVimage;transmissionline;automaticpatrolinspect...
