3-D Segmentation and Surface Reconstruction of Gas Insulated Switchgear via PointNet-MLS Architecture - Details

author：

Lv, Chaowei (Lv, Chaowei.) ^[1] | Guan, Xiangyu (Guan, Xiangyu.) ^[2] (Scholars：关向雨) | Liu, Jiang (Liu, Jiang.) ^[3] | Liao, Jingwen (Liao, Jingwen.) ^[4] Unfold

Indexed by：

EI Scopus

Abstract：

High　quality　3D　reconstruction　technique　is　essential　for　digital　twin　(DT)　application　of　power　equipment.　This　work　presents　a　PointNet-MLS　combined　architecture　to　realize　component　segmentation　and　surface　reconstruction　of　gas　insulated　switchgear　(GIS)　with　complex　background　interference.　In　order　to　make　the　GIS　ontology　point　cloud　obtained　continuous　and　smooth,　greedy　projection　triangulation　is　then　applied.　Lastly,　the　local　features　of　the　GIS　point　cloud　are　enhanced,　and　the　three-dimensional　geometric　properties　of　the　GIS　apparatus　are　better　restored　using　the　moving　least　squares　approach.　The　results　show　that　the　mean　intersection　over　union　(mIoU)　of　PointNet++　algorithm　for　on-site　GIS　point　cloud　segmentation　can　reach　92.1%,　which　is　higher　than　32.8%　and　13.7%　of　K-means　and　PointNet　algorithms,　respectively.　The　proposed　MLS　algorithm　can　effectively　repair　the　defects　of　GIS　point　cloud　after　greedy　projection　triangulation,　so　that　the　repaired　surface　part　can　maintain　the　three-dimensional　shape　characteristics　of　the　GIS　point　cloud.　©　2024,　Beijing　Paike　Culture　Commu.　Co.,　Ltd.

Keyword：

Electric switchgear Image reconstruction Surface reconstruction Triangulation

Community：

[ 1 ] [Lv, Chaowei]Fuzhou University, Fuzhou; 350108, China
[ 2 ] [Guan, Xiangyu]Fuzhou University, Fuzhou; 350108, China
[ 3 ] [Liu, Jiang]Fuzhou University, Fuzhou; 350108, China
[ 4 ] [Liu, Jiang]State Grid Ganzhou Power Supply Company, Jiangxi Ganzhou; 341000, China
[ 5 ] [Liao, Jingwen]Fuzhou University, Fuzhou; 350108, China