Application of Internet of Things and GIS in Power Grid Emergency Command System

  • Daning Huang
  • Huihe Chen
  • Shiyong Huang
  • Yuchang Lin
  • Ying MaEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1123)


The power grid is vulnerable to natural disasters and causes grid faults. When power disasters in the process of handling, the effective implementation of emergency command is important for timely restoring of power supply and increasing its reliability. The article briefly describes the related theories and key technologies of the power Internet of Things and GIS. It mainly focuses on the emergency command application scenario of the power system under natural disasters, and designs and constructs the power grid emergency command technology architecture based on the Internet of Things and space information technology. The deep application of ubiquitous power Internet of Things and power grid GIS in disaster emergency monitoring, analysis and early warning, resource allocation, command decision, and emergency drills. It provides useful exploration for building a new generation of grid disaster emergency command system and promoting the construction of ubiquitous power Internet of Things.


Ubiquitous power Internet of Things Geographic Information System Emergency command Power sensors Big data 



This work was supported in part by the National Natural Science Foundation of China (Grant No. 61502404), Natural Science Foundation of Fujian Province of China (Grant No. 2019J01851), Distinguished Young Scholars Foundation of Fujian Educational Committee (Grant No. DYS201707), Xiamen Science and Technology Program (Grant No. 3502Z20183059), and Open Fund of Key Laboratory of Data mining and Intelligent Recommendation, Fujian Province University. We thank the anonymous reviewers for their great helpful comments.


  1. 1.
    Yang, P., Liu, X.C., Ning, G., et al.: Design of power grid emergency command system. J. Electr. Power Sci. Technol. 32(4), 17–23 (2017)Google Scholar
  2. 2.
    Ma, Y., Huang, C., Sun, Y., Zhao, G., Lei, Y.: Review of power spatio-temporal big data technologies, applications, and challenges. In: Wang, G., Feng, J., Bhuiyan, M.Z.A., Lu, R. (eds.) SpaCCS 2019. LNCS, vol. 11637, pp. 197–206. Springer, Cham (2019). Scholar
  3. 3.
    Arif, M., Wang, G., Bhuiyan, M.Z.A., Wang, T., Chen, J.: A survey on security attacks in VANETs: communication, applications and challenges, vehicular communications, 100179 (2019)Google Scholar
  4. 4.
    Wang, T., Bhuiyan, M.Z.A., Wang, G., Rahman, M.A., Wu, J., Cao, J.: Big data reduction for a smart citys critical infrastructural health monitoring. IEEE Commun. Mag. 56(3), 128–133 (2018)CrossRefGoogle Scholar
  5. 5.
    Wang, T., Zhou, J., Liu, A., Bhuiyan, M.Z.A., Wang, G., Jia, W.: Fog-based computing and storage offloading for data synchronization in IoT. IEEE Internet Things J. 6(3), 4272–4282 (2019)CrossRefGoogle Scholar
  6. 6.
    Wang, T., Li, Y., Wang, G., Cao, J., Bhuiyan, M.Z.A., Jia, W.: Sustainable and efficient data collection from WSNs to cloud. IEEE Trans. Sustain. Comput. 4(2), 252–262 (2019)CrossRefGoogle Scholar
  7. 7.
    Jiang, C., Zhou, L., Liu, X.J., Xu, X.L.: Research on the intelligent monitoring system of indoor electrical safety based on the internet of things. Adv. Mater. Res. 986–987, 1569–1573 (2014)CrossRefGoogle Scholar
  8. 8.
    KouWei.: Company overall deployment in power construction of Internet of things [EB/OL]. National grid company’s web site. 21 April 2019
  9. 9.
    Saleem, Y., Crespi, N., Rehmani, M.H., Copeland, R.: Internet of things- aided smart grid: technologies, architectures, applications, prototypes, and future research directions. IEEE Access (2017). Scholar
  10. 10.
    Valerio, A.: Visualization system integrated for electric power distribution networks. IEEE Latin Am. Trans. 8(6), 728–733 (2011)CrossRefGoogle Scholar
  11. 11.
    Al-Rubaye, S., Kadhum, E., Qiang, N., Anpalagan, A.: Industrial internet of things driven by SDN platform for smart grid resiliency. IEEE Internet Things J. PP(99), 1 (2017)Google Scholar
  12. 12.
    Huang, R., Sun, Y., Huang, C., Zhao, G., Ma, Y.: A survey on fog computing. In: International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, pp. 160–169 (2019)Google Scholar
  13. 13.
    Reka, S.S., Dragicevic, T.: Future effectual role of energy delivery: a comprehensive review of internet of things and smart grid. Renew. Sustain. Energy Rev. 91, 90–108 (2018)CrossRefGoogle Scholar
  14. 14.
    Voropai, N.I., Efimov, D.N., Kolosok, I.N., et al.: Smart technologies in emergency control of Russia’s unified energy system. IEEE Trans. Smart Grid 4(3), 1732–1740 (2013)CrossRefGoogle Scholar
  15. 15.
    Ferrandez-Pastor, F.J., et al.: Developing ubiquitous sensor network platform using internet of things: application in precision agriculture. Sensors 16(7), 1141 (2016)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Daning Huang
    • 1
  • Huihe Chen
    • 1
  • Shiyong Huang
    • 1
  • Yuchang Lin
    • 1
  • Ying Ma
    • 2
    Email author
  1. 1.Xiamen Great Power GeoInformation Technology Co., Ltd.XiamenChina
  2. 2.Xiamen University of TechnologyXiamenChina

Personalised recommendations