7</sup> ,檢測速度達到了 66.1f/s ,滿足了小樣本檢測的要求。與其他主流算法相比,改進算法在檢測精度和實時性方面都表現(xiàn)出了較高水平。-龍源期刊網(wǎng)" />

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邊緣計算下的絕緣子缺陷小樣本檢測研究

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引用格式:,等.邊緣計算下的絕緣子缺陷小樣本檢測研究[J].現(xiàn)代電子技術,2025,48(10):76-84.

關鍵詞:絕緣子缺陷;小樣本檢測;RT-DETR編碼器;邊緣計算;距離嵌入模塊;路徑聚合網(wǎng)絡中圖分類號:TN919.8-34;TP391.41 文獻標識碼:A 文章編號:1004-373X(2025)10-0076-09

Abstract:Inorder tosolvetheproblemsoflowprecisionand poorrobustnessof traditionaltargetdetectionalgorithms when detectingsmall-sampleinsulatordefetsontransmissionlines,andtorealizetheeficiencyofUAVpatrolinspection,anedge computing based featuredistacediferencesmal-sampleinsulatorself-explosion detectionalgorithm is proposed.TheRT-DETR encoderisimprovedbymeansofhighandlowfrequencyinformationfusion(AHiLo)and(hierarchicalscale-basedpath aggregationnetwork,HS-PAN)toextractlocalhighandlowfrequencyinformationof insulatorstrings.AdistancedierenceXgoal (DX)isintroduced toobtain theoptimal metricdistancebetweentheprototypeagentandthequeryfeatureinthemapping featurespace,soastorealizetheaccuratedetectionofsmall-sampleinsulatorself-destruction.Theexperimentalresultsshow thattheimproved modelcanrealizeadetectionacuracyof 86.4%usingonly15Osampleson thePCside,with a parameter count of 2.06×107 ,and adetection speed of 66.1f/s,which meets the requirements of smal-sample detection.In comparison with othermainstreamalgorithms,theimprovedalgorithmcanshowahighlevelof detectionaccuracyandreal-timeperformance.

Keywords:insulator defect;small-sampledetection;RT-DETRcoder;edgecomputing;DX module;pathaggregation network

0 引言

《2022年全國電力可靠性年度報告》中指出,在 220kV 及以上架空線路的非計劃停運原因中,導線、絕緣子和金具位列前三,其中絕緣子引起非計劃停運49次,引起非計劃停運時間為 1 287.05h 。(剩余10005字)

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