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Research on Multi-source Data Fusion Technology Under Power Cloud Platform

  • Xiaomin Zhang
  • Qianjun WuEmail author
  • Xiaolong Wang
  • Yuhang Chen
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1084)

Abstract

The power cloud platform has a large number and variety of software and hardware resources, and the relationship is complicated. The existing data sensing methods have become more and more difficult to meet the real-time and accuracy requirements of the power information system when processing the massive monitoring data generated by it. In the global sensing process of power cloud platform, the most important thing is the aggregation, processing and analysis of monitoring data. Therefore, this paper studies the multi-source data fusion technology in the global joint sensing technology of power cloud platform and proposes a multi-source data fusion architecture and method suitable for power cloud platform.

Keywords

Data fusion Global sensing Power cloud platform 

Notes

Acknowledgment

This research was financially supported by the Science and Technology projects of State Grid Corporation of China (NO. 500409081).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Xiaomin Zhang
    • 1
  • Qianjun Wu
    • 2
    Email author
  • Xiaolong Wang
    • 2
  • Yuhang Chen
    • 2
  1. 1.State Grid Information System Integration CompanyNARI Group CorporationNanjing CityChina
  2. 2.Information System Integration CompanyNARI Group CorporationNanjing CityChina

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