About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China

Research Article

Research and Design of Electric Power Big Data Visualization

Download354 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2328693,
        author={Feng  Qiu and Fuchen  Ren and Siqi  Yang and Meng  Ren},
        title={Research and Design of Electric Power Big Data Visualization},
        proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China},
        publisher={EAI},
        proceedings_a={BDEIM},
        year={2023},
        month={6},
        keywords={datav; electricity big data; visualization},
        doi={10.4108/eai.2-12-2022.2328693}
    }
    
  • Feng Qiu
    Fuchen Ren
    Siqi Yang
    Meng Ren
    Year: 2023
    Research and Design of Electric Power Big Data Visualization
    BDEIM
    EAI
    DOI: 10.4108/eai.2-12-2022.2328693
Feng Qiu1, Fuchen Ren1,*, Siqi Yang1, Meng Ren1
  • 1: Wuhan Institute of Technology
*Contact email: 22012010023@wit.edu.cn

Abstract

Based on the analysis and research of electric power big data and visualization technology, this paper analyzes the design and realization of the power big data visualization based on DataV, and describes the result display through the actual system design. The DataV large-screen display is a full-information simulation of the actual large-scale power grid in the virtual world. It can collect detailed data of power production and operation in any region at any time; clearly and intuitively display the comprehensive statistical data of the power grid, real-time operating data and equipment monitoring on the computer Data, count all the lightning damage area, bird damage area, and pollution flashover area of the power grid, and can intuitively display the power grid early warning situation, and obtain the latest data of the power grid operation at any time.

Keywords
datav; electricity big data; visualization
Published
2023-06-14
Publisher
EAI
http://dx.doi.org/10.4108/eai.2-12-2022.2328693
Copyright © 2022–2025 EAI
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL