A Review of Image 3D Reconstruction Technology and Its Application in Electrical Equipment Monitoring

被引:0
|
作者
Lu, Shida [1 ]
Sun, Haozhi [1 ]
Feng, Tianbo [1 ]
机构
[1] State Grid Shanghai Elect Power Co Ltd, Informat Telecommun Co, Shanghai, Peoples R China
来源
2023 2ND ASIAN CONFERENCE ON FRONTIERS OF POWER AND ENERGY, ACFPE | 2023年
关键词
three-dimensional reconstruction; electrical equipment; smart grid;
D O I
10.1109/ACFPE59335.2023.10455403
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this article, we review the digital twins of electrical equipment in smart grids to promote technological innovation in electrical equipment monitoring. This article provides an overview of the current development status of image 3D reconstruction and its application in 3D modeling of electrical equipment. Specifically, we described different 3D reconstruction techniques from different application scenarios of electrical equipment and elaborated on on-site requirements. Secondly, we emphasize the current application status of 3D reconstruction technology in the electrical industry and conduct a reasonable analysis of technical issues such as the combination of 3D reconstruction technology and electrical equipment monitoring. Finally, we discussed some key challenges and predicted future development trends.
引用
收藏
页码:84 / 88
页数:5
相关论文
共 50 条
  • [41] Superresolution fluorescence microscopy for 3D reconstruction of thick samples
    Park, Sangjun
    Kang, Wooyoung
    Kwon, Yeong-Dae
    Shim, Jaehoon
    Kim, Siyong
    Kaang, Bong-Kiun
    Hohng, Sungchul
    MOLECULAR BRAIN, 2018, 11
  • [42] Superresolution fluorescence microscopy for 3D reconstruction of thick samples
    Sangjun Park
    Wooyoung Kang
    Yeong-Dae Kwon
    Jaehoon Shim
    Siyong Kim
    Bong-Kiun Kaang
    Sungchul Hohng
    Molecular Brain, 11
  • [43] Neural Networks Based on Fuzzy Clustering and Its Application in Electrical Equipment's Fault Diagnosis
    Zhou, Long
    Wang, Xuezhi
    Chen, Mianyun
    DCABES 2008 PROCEEDINGS, VOLS I AND II, 2008, : 617 - +
  • [44] Research on Super-Resolution Enhancement Technology Using Improved Transformer Network and 3D Reconstruction of Wheat Grains
    Tian, Yijun
    Zhang, Jinning
    Zhang, Zhongjie
    Wu, Jianjun
    IEEE ACCESS, 2024, 12 : 62882 - 62898
  • [45] Statistical Reconstruction of 3D Paper Structure Using Simulated Annealing Algorithm Based on 2D Scanning Electron Microscopy Image
    Xu, Jie
    Liu, Yin
    Li, Jiaqin
    Shen, Wenhao
    Corriou, Jean-Pierre
    JOURNAL OF NATURAL FIBERS, 2022, 19 (16) : 13815 - 13830
  • [46] Monitoring of Caspian Sea-level changes using deep learning-based 3D reconstruction of GRACE signal
    Sorkhabi, Omid Memarian
    Asgari, Jamal
    Amiri-Simkooei, Alireza
    MEASUREMENT, 2021, 174
  • [47] Estimating Thermal Radiation Fields from 3D Flame Reconstruction
    Mason, P. S.
    Fleischmann, C. M.
    Rogers, C. B.
    McKinnon, A. E.
    Unsworth, K.
    Spearpoint, M.
    FIRE TECHNOLOGY, 2009, 45 (01) : 1 - 22
  • [48] Semantic 3D Reconstruction for Volumetric Modeling of Defects in Construction Sites
    Katsatos, Dimitrios
    Charalampous, Paschalis
    Schmidt, Patrick
    Kostavelis, Ioannis
    Giakoumis, Dimitrios
    Nalpantidis, Lazaros
    Tzovaras, Dimitrios
    ROBOTICS, 2024, 13 (07)
  • [49] Estimating Thermal Radiation Fields from 3D Flame Reconstruction
    P. S. Mason
    C. M. Fleischmann
    C. B. Rogers
    A. E. McKinnon
    K. Unsworth
    M. Spearpoint
    Fire Technology, 2009, 45 : 1 - 22
  • [50] Isolation, electron microscopy and 3D reconstruction of invertebrate muscle myofilaments
    Craig, Roger
    METHODS, 2012, 56 (01) : 33 - 43