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        Disaster Intelligent Perception and Emergency Command of Power Grid

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        Author(s)
        Yu, Zhen
        Feng, Jie
        Tang, Shiyang
        Liu, Zeyu
        Yan, Yiran
        Luo, Na
        Language
        English
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        Abstract
        This open access book addresses the current technical problems of low efficiency of emergency site information collection, lack of flexibility of emergency information interaction, lack of fusion analysis technology and disaster loss prediction model, and low intelligence of emergency auxiliary decision making. The content contains research on multiple information collection technology of power grid disaster loss, fusion analysis and prediction technology of power grid disaster loss information, and real-time information interaction technology between emergency site and command center in this work. This book illustrates the process of developing a prototype system for grid disaster perception and emergency command, which realizes the functions of grid disaster perception and emergency auxiliary decision-making and visualization command. The prototype intelligent perception and emergency command system for power grid disasters has been piloted in several units. It provided support for disaster loss prediction, disaster damage perception, and emergency command auxiliary decision-making in the earthquake in Sichuan, China, as well as the heavy rainfall in Zhejiang, China and Typhoon No. 9 "Lupi" that registered in Fujian, China, which significantly improved the emergency disposal Work efficiency.
        URI
        https://library.oapen.org/handle/20.500.12657/86148
        Keywords
        Power Grid; Disaster Intelligent Perception; Emergency Command Prototype System; Multi-hazard Loss Prediction Model; Emergency Auxiliary Decision Making; Fusion Analysis Technology; Emergency Disposal Efficiency; Typhoon, Heavy Rainfall and Flooding; Earthquake and Landslide
        DOI
        10.1007/978-981-99-7236-4
        ISBN
        9789819972364, 9789819972364, 9789819972357
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Singapore, 2024
        Imprint
        Springer Nature Singapore
        Classification
        Electrical engineering
        Energy technology & engineering
        Pages
        373
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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