Disaster Intelligent Perception and Emergency Command of Power Grid [electronic resource] / by Zhen Yu, Jie Feng, Shiyang Tang, Zeyu Liu, Yiran Yan, Na Luo.

За: Інтелектуальна відповідальність: Вид матеріалу: Текст Публікація: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Видання: 1st ed. 2024Опис: VIII, 373 p. 224 illus., 138 illus. in color. online resourceТип вмісту:
  • text
Тип засобу:
  • computer
Тип носія:
  • online resource
ISBN:
  • 9789819972364
Тематика(и): Додаткові фізичні формати: Printed edition:: Немає назви; Printed edition:: Немає назви; Printed edition:: Немає назвиДесяткова класифікація Дьюї:
  • 321.319 23
Класифікація Бібліотеки Конгресу:
  • TK3001-3521
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Вміст:
Introduction -- Network awareness and emergency command fundamentals -- Multiple information collection technology of power network disaster loss -- Grid disaster information fusion and integrated prediction technology -- Real-time interaction technologies for grid emergency information -- Grid emergency decision technology -- Intelligent sensing and emergency command system for power grid disaster .
У: Springer Nature eBookЗведення: 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 fordisaster 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.
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Introduction -- Network awareness and emergency command fundamentals -- Multiple information collection technology of power network disaster loss -- Grid disaster information fusion and integrated prediction technology -- Real-time interaction technologies for grid emergency information -- Grid emergency decision technology -- Intelligent sensing and emergency command system for power grid disaster .

Open Access

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 fordisaster 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.

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