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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)

Abstract

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.

Keywords

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

Notes

Acknowledgments

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.

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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

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