skip to main content
10.1145/3469213.3470663acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicaiisConference Proceedingsconference-collections
research-article

Research on Distributed Edge Computing Architecture Scheme for Cable Status Awareness

Published: 18 August 2021 Publication History

Abstract

Power cables are important equipment in the power system. Comprehensive condition monitoring of the cables is the key to maintaining the safety and stability of the power system. Through the partial discharge (PD) multi-state perception method, various faults of the cable insulation can be detected in time, and mutual verification and supplementation can be achieved. The distributed sensing architecture can realize the comprehensive perception of the cable status while exerting the edge computing capabilities of the sensors, reducing the pressure of data transmission and processing. This paper proposes a distributed edge computing architecture scheme for cable state awareness, and on this basis, studies the architecture operation and data transmission methods.

References

[1]
Zhuang T, Ren M, Gao X, “Insulation Condition Monitoring in Distribution Power Grid via IoT-Based Sensing Network,” IEEE Transactions on Power Delivery, vol. 34, no. (99), pp. 1706-1714, 2019.
[2]
Morello R, De Capua C, Fulco G, “A Smart Power Meter to Monitor Energy Flow in Smart Grids: The Role of Advanced Sensing and IoT in the Electric Grid of the Future,” IEEE Sensors Journal, pp. 7828-7837, 2017.
[3]
Wang C, Li X, Liu Y, “The research on development direction and points in IoT in China power grid,” International Conference on Information Science, IEEE, 2014.
[4]
Liu Y, Lingling X, Jiang P, “Study of Data Integration Architecture for WideArea Distributed Power Quality of Power Grid,” 2018 International Symposium in Sensing and Instrumentation in IoT Era (ISSI), IEEE, 2018.
[5]
Tao W, Xianzheng C, “Key technology research of the multi-state monitoring on high voltage cable,” IEEE Conference on Energy Internet and Energy System Integration, IEEE, 2017.
[6]
Xu-Ze G, Tianxin Z, Ming R, “IoT-based On-line Monitoring System for Partial Discharge Diagnosis Of Cable,” 2019 IEEE Electrical Insulation Conference (EIC), IEEE, 2019.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems
May 2021
2053 pages
ISBN:9781450390200
DOI:10.1145/3469213
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 August 2021

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Partial discharge
  2. cable state awareness
  3. edge computing
  4. multi-state perception

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

ICAIIS 2021

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 40
    Total Downloads
  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 05 Mar 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media