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An Integrated Power Grid Equipment Operation and Maintenance Solution Based on Big Data, Cloud Computing, the Internet of Things and Mobile Internet

Received: 25 October 2017     Published: 31 October 2017
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Abstract

The traditional operation and maintenance methods cannot meet the new demands of current grid operation and maintenance as it grows in both scale and complexity. Based on the analysis of the shortcomings of the existing methods, an integrated solution based on big data, cloud computing, the Internet of Things and mobile Internet is proposed in this paper. Internet of Things technologies such as RFID and wireless transmission are adopted to acquire and sense information of field equipment. Big data and cloud computing technologies are used to standardize field work management and supervise standard field work operation. Besides, a data exchange channel is built between maintenance site and control center via intelligent operation and maintenance terminals to enable data upload and interaction between maintenance site and control center.

Published in Automation, Control and Intelligent Systems (Volume 5, Issue 5)
DOI 10.11648/j.acis.20170505.12
Page(s) 67-72
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Integrated Operation and Maintenance, The Internet of Things, Big Data, Cloud Computing, Intelligent Operation and Maintenance

References
[1] Zhong Lei. Application and Management of Intelligent Operation and Management Platform of Transmission Line [J]. Jiangxi Jingdezhen Power Supply Company, December 2014.
[2] Wu Hongli. Study on the Decision Model and Management Process of Transformer Equipment Maintenance in the Background of Smart Grid [J]. Southeast University, 2013.
[3] Liu Tao, Dai Shuguang. Research on the Intelligent Operation and Maintenance Platform of Transmission Line [J]. North China Electric Power University, 2012.
[4] Tang Haitao. Analysis of Power Grid Operation and Maintenance Risks and Technical Overhaul [J]. Communications World, 2014 (20).
[5] Liu Yang. Analysis of the Process of Integrated Operation and Maintenance of Transformer [J]. China High-tech Enterprise, 2013 (20).
[6] RICHARD D., CHERRY T.. Standards for the Smart Grid [C]. Proceedings of IEEE Energy 2030 Conference, November, 17-18, 2008:1-7.
[7] Yu Yixing, Ruan Wenpeng. Smart Grid [J]. Power Grid and Clean Energy Resource. 2009, 25(1):7-11.
[8] Xie Kai, Liu Yongqi, Zhu Zhizhong. The Future Smart Grid. Chinese Electric Power, 2008, 41(6): 19-22.
[9] Liu Huajun. Research on the architecture of Internet of things. Chinese new Communication. 2010(9): 17-21.
[10] Wang Dewen, Song Yaqi, Zhu Yongli. Information Platform of Smart Grid Base on Cloud Computing. Power system automation 2010, 34(22): 7-12.
Cite This Article
  • APA Style

    Liang Dong, Su Yirong, Liu Zhiwei, Liu Shen. (2017). An Integrated Power Grid Equipment Operation and Maintenance Solution Based on Big Data, Cloud Computing, the Internet of Things and Mobile Internet. Automation, Control and Intelligent Systems, 5(5), 67-72. https://doi.org/10.11648/j.acis.20170505.12

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    ACS Style

    Liang Dong; Su Yirong; Liu Zhiwei; Liu Shen. An Integrated Power Grid Equipment Operation and Maintenance Solution Based on Big Data, Cloud Computing, the Internet of Things and Mobile Internet. Autom. Control Intell. Syst. 2017, 5(5), 67-72. doi: 10.11648/j.acis.20170505.12

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    AMA Style

    Liang Dong, Su Yirong, Liu Zhiwei, Liu Shen. An Integrated Power Grid Equipment Operation and Maintenance Solution Based on Big Data, Cloud Computing, the Internet of Things and Mobile Internet. Autom Control Intell Syst. 2017;5(5):67-72. doi: 10.11648/j.acis.20170505.12

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  • @article{10.11648/j.acis.20170505.12,
      author = {Liang Dong and Su Yirong and Liu Zhiwei and Liu Shen},
      title = {An Integrated Power Grid Equipment Operation and Maintenance Solution Based on Big Data, Cloud Computing, the Internet of Things and Mobile Internet},
      journal = {Automation, Control and Intelligent Systems},
      volume = {5},
      number = {5},
      pages = {67-72},
      doi = {10.11648/j.acis.20170505.12},
      url = {https://doi.org/10.11648/j.acis.20170505.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20170505.12},
      abstract = {The traditional operation and maintenance methods cannot meet the new demands of current grid operation and maintenance as it grows in both scale and complexity. Based on the analysis of the shortcomings of the existing methods, an integrated solution based on big data, cloud computing, the Internet of Things and mobile Internet is proposed in this paper. Internet of Things technologies such as RFID and wireless transmission are adopted to acquire and sense information of field equipment. Big data and cloud computing technologies are used to standardize field work management and supervise standard field work operation. Besides, a data exchange channel is built between maintenance site and control center via intelligent operation and maintenance terminals to enable data upload and interaction between maintenance site and control center.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - An Integrated Power Grid Equipment Operation and Maintenance Solution Based on Big Data, Cloud Computing, the Internet of Things and Mobile Internet
    AU  - Liang Dong
    AU  - Su Yirong
    AU  - Liu Zhiwei
    AU  - Liu Shen
    Y1  - 2017/10/31
    PY  - 2017
    N1  - https://doi.org/10.11648/j.acis.20170505.12
    DO  - 10.11648/j.acis.20170505.12
    T2  - Automation, Control and Intelligent Systems
    JF  - Automation, Control and Intelligent Systems
    JO  - Automation, Control and Intelligent Systems
    SP  - 67
    EP  - 72
    PB  - Science Publishing Group
    SN  - 2328-5591
    UR  - https://doi.org/10.11648/j.acis.20170505.12
    AB  - The traditional operation and maintenance methods cannot meet the new demands of current grid operation and maintenance as it grows in both scale and complexity. Based on the analysis of the shortcomings of the existing methods, an integrated solution based on big data, cloud computing, the Internet of Things and mobile Internet is proposed in this paper. Internet of Things technologies such as RFID and wireless transmission are adopted to acquire and sense information of field equipment. Big data and cloud computing technologies are used to standardize field work management and supervise standard field work operation. Besides, a data exchange channel is built between maintenance site and control center via intelligent operation and maintenance terminals to enable data upload and interaction between maintenance site and control center.
    VL  - 5
    IS  - 5
    ER  - 

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Author Information
  • State Grid Jibei Electric Power Company, Beijing, China

  • State Grid Jibei Electric Power Company, Beijing, China

  • NARI Group Corporation, Nanjing, China

  • State Grid Jibei Electric Power Company, Beijing, China

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