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Key Technology of Cloud Service for the Aggregation of Satellite, Aerial and Terrestrial Multi-source Spatiotemporal Information

In: Liss 2022

Author

Listed:
  • WenHao Ou

    (State Grid Commercial Big Data Co., Ltd)

  • Peng Luo

    (State Grid Commercial Big Data Co., Ltd)

  • LinLin Liu

    (State Grid Commercial Big Data Co., Ltd)

  • Liang Shan

    (State Grid Commercial Big Data Co., Ltd)

  • JiaYi Chen

    (State Grid Commercial Big Data Co., Ltd)

  • Zhenyu Wang

    (State Grid Commercial Big Data Co., Ltd)

Abstract

In this paper, a spatiotemporal data model and efficient indexing method suitable for cloud service management is proposed, a unified and high-precision registering technology system for spatiotemporal reference of satellite, aerial and terrestrial multi-source sensing information is constructed and a multi-source spatiotemporal sensing information interaction interface standards and distribution mechanism scheme are developed to improve the accuracy and reliability of multi-source sensing data of power IOT, promote the sharing of power IOT data effectively, and provide the necessary conditions for the integrated application of multi-source spatiotemporal data in the core business scenarios of power grid.

Suggested Citation

  • WenHao Ou & Peng Luo & LinLin Liu & Liang Shan & JiaYi Chen & Zhenyu Wang, 2023. "Key Technology of Cloud Service for the Aggregation of Satellite, Aerial and Terrestrial Multi-source Spatiotemporal Information," Lecture Notes in Operations Research, in: Xiaopu Shang & Xiaowen Fu & Yixuan Ma & Daqing Gong & Juliang Zhang (ed.), Liss 2022, pages 393-403, Springer.
    • Handle: RePEc:spr:lnopch:978-981-99-2625-1_31
    DOI: 10.1007/978-981-99-2625-1_31
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