Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15–17 March 2024, Changsha, China

Research Article

Research on Visualization Generation Method of Panoramic Portrait from the Perspective of Power Grid Customer Service Center Commissioner

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  • @INPROCEEDINGS{10.4108/eai.15-3-2024.2346364,
        author={Cuixian  Yin and Yuqi  Zhang and Lu  Liu and Ruiping  Pan and Meng  Wang},
        title={Research on Visualization Generation Method of Panoramic Portrait from the Perspective of Power Grid Customer Service Center Commissioner},
        proceedings={Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15--17 March 2024, Changsha, China},
        publisher={EAI},
        proceedings_a={PMIS},
        year={2024},
        month={6},
        keywords={power grid; customer service center commissioner; angle of view; panoramic portrait; visualization; generate; way},
        doi={10.4108/eai.15-3-2024.2346364}
    }
    
  • Cuixian Yin
    Yuqi Zhang
    Lu Liu
    Ruiping Pan
    Meng Wang
    Year: 2024
    Research on Visualization Generation Method of Panoramic Portrait from the Perspective of Power Grid Customer Service Center Commissioner
    PMIS
    EAI
    DOI: 10.4108/eai.15-3-2024.2346364
Cuixian Yin1,*, Yuqi Zhang1, Lu Liu1, Ruiping Pan1, Meng Wang1
  • 1: State Grid Customer Service Center
*Contact email: 1797465317@qq.com

Abstract

Conventional panoramic image visualization generation methods mainly use MSTP (Multiple Spanning Tree Protocol) multi spanning tree protocol to process visualization information, which is vulnerable to the impact of traffic load redundancy, resulting in poor performance of the generated visual panoramic image. Therefore, a new panoramic image visualization generation method needs to be designed from the perspective of the power grid customer service center commissioner. That is to say, based on the perspective of the commissioner of the power grid customer service center, the panoramic portrait visualization architecture is constructed, the user portrait of multi-source data fusion panoramic visualization is generated, and the panoramic portrait visualization model is predicted, thus realizing the generation of panoramic portrait visualization. The experimental results show that the designed panoramic portrait visualization generation method has high operation and maintenance support rate, operation and maintenance mastery rate, and security protection rate, which proves that the designed panoramic portrait visualization generation method has good generation performance, reliability, and certain application value, and has made certain contributions to promoting the development of smart grid.