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1、基于LiDAR点云数据的电力线安全距离检测关键词：LiDAR；电力线提取；安全距离检测；树木生长估算论文类型：应用研究-II-万方数据兰州交通大学硕士学位论文AbstractForalongtime,thecheckingandmaintenanceofpowerlinescorridormainlydependsonlaboringoutdoorworks,themethodisnotonlyinefficient,butalsounsafe,whichcan'tmeettheneedofthep
2、rogressofmodernpowergridandthesafeoperation,soahighefficient,safeandadvancedmodeofelectricpowerlineinspectionmethodisurgentlyneededtothepowerdepartment.AirborneLightDetectionandRanging(airborneLiDAR)technologybroughtanewwayforelectricpowerlineinspectio
3、n.Comparedwiththetraditionalmeasurementsystem,airborneLiDARsystemhasitsuniquetechnicaladvantages,whichcandirectlyobtainthepointcloudofpowerlinecorridor,andhigh-precision3Dspatialinformation,andthenobtainthewholeinformationof3Dpowerlinescorridor,suchasf
4、acilitiesoflines,thefeaturesofaccuratethree-dimensionalspatialinformation,andsoon.Now,LiDARhasbeenwidelyusedinelectricpowerlinesafetyinspection.Forexample,automaticpowerlinesafetydetection,oneoftheimportantcontentsinpowerlinepatrol,isbasedonairbornelas
5、erpointclouddata.Itcandirectlyconfirmthedefectivearea,whichnotonlysavealotoftime,butalsoeliminatesthepotentialunsafeproblems.Thisistheresearchobjectiveofthisdissertation.First，thispaperdiscussesdifferentmethodsaboutpowerlineextractionandanalyzestheadva
6、ntagesanddisadvantagesofeachmethod.Onthisbasis,selectKDtreeclusteringpowerlineextractionmethodtoextractthepowerline.Theconcreteresearchcontentandextractionprocessingincludes:adoptedsemi-automaticmethodtoextractpowerlinepointsandmostpointsoutsidethetowe
7、r;Removedthetowerpointsbymeasuringthethree-dimensionalcoordinateoftoptowercenter;ExtractpowerlineaccordingtoKDtreeclusteringmethodandfitthepowerlinepointcloudusingtheprincipleoftheleastsquaresmethod,andachievedgoodresults.Onthebasisoftheabovework,study
8、thepowerlinesafedistancedetectionbyextractpowerlinepointsandgroundfeaturepoints,themainresearchcontentandachievementincludes:Thispaperanalyzedandcomparedpowerlinesafedistancedetectionmethodsusinglow-altitudeaerialdata,thenproposedanauto
