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Study on Rapid Layering Construction Technology of Panoramic Model for Electrical Equipment

  • Zhimin He
  • Lin Peng
  • Haiyun Han
  • Min Xu
  • Gang Wang
  • Hai Yu
  • Xingchuan Bao
  • Zhansheng Hou
  • He Wang
  • Liang Zhu
  • Zehao Zhang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 856)

Abstract

Computer fast scan modeling for converter valves starts with 3D modeling technology based on computer geometry modeling, visual modeling technology based on depth of field sensors, automatic layered reconstruction technology of internal and external parts models of electrical equipment, developing the rapid layering construction technology research of a panoramic model for electrical equipment. Taking the converter valve as the object, the traditional 3D modeling, fast scanning modeling and model layering are determined, and a computer-identifiable model is created using fast depth-of-field scanning technology, and a refined 3D model of the traditional design stage is hierarchically displayed. Realize the all-round display of the interior and exterior parts of the power equipment model on the job site.

Keywords

Rapid layering 3D modeling Fast scan modeling 

Notes

Acknowledgments

This work was financially supported by the science and technology project to State Grid Corporation “Research on the interactive technology of intelligent transportation and maintenance information fusion based on panoramic layered electrical equipment model”. I would like to express my heartfelt gratitude to my colleagues and friends, they gave me a lot of useful advices during the process of studying this topic research and also provided enthusiastic help in the process of typesetting and writing thesis! At the same time, I want to thank all the scholars who are quoted in this paper. Due to my limited academic level, there are some disadvantages to writing a paper, and I will solicit the criticism and corrections from experts and scholars.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Zhimin He
    • 1
    • 2
  • Lin Peng
    • 1
  • Haiyun Han
    • 1
  • Min Xu
    • 1
  • Gang Wang
    • 1
  • Hai Yu
    • 1
  • Xingchuan Bao
    • 1
  • Zhansheng Hou
    • 1
  • He Wang
    • 1
  • Liang Zhu
    • 1
  • Zehao Zhang
    • 1
  1. 1.Global Energy Interconnection Research InstituteNanjingChina
  2. 2.State Grid Key Laboratory of Information and Network SecurityBeiqijia, BeijingChina

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