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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Применить Всего найдено 3. Отображено 3.
07-01-2015 дата публикации

One-click cooperative testing and detecting method and device for stability control system

Номер: CN104267284A
Автор: LI YONG, LI FENG, XIE JUN, LI HUIXIN, WANG YINGYING, CHEN XIANGWEN, YU LINGFANG, YAO ZHANDONG, SUN WENSHENG
Принадлежит:

The invention discloses a one-click cooperative testing and detecting method and device for a stability control system. A QWD type region stability control device and QWD testers perform remote stability control testing through serial ports, read telemetering data, remote communication data, pressing plate states and others and upload and download a constant value table and a strategy table; the QWD type region stability control device and the QWD testers perform remote stability control testing through optical fibers, read telemetering data, remote communication data, pressing plate states and others and upload and download a constant value table and a strategy table; the QWD type region stability control device and the QWD testers perform remote stability control testing through an exchanger, read telemetering data, remote communication data, pressing plate states and others and upload and download a constant value table and a strategy table; the QWD testers perform remote testing on ...

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Номер записи: 1
18-07-2023 дата публикации

Real-time dynamic monitoring system and method for power system

Номер: CN116455057A
Автор: CHEN HAIDONG, WANG XIN, WANG QING, TIAN BO, MENG FEI, SUN YUAN, LI JIANGPENG, ZHANG JINGZHONG, ZHAO LEI, LI TAO, GAO HAIYANG, YANG BO, TIAN KUN, ZHONG DANGSHU, LU FENG, LI TONG, ZHU ZIXIN, BAI LU, GAO RENLONG, LIU GANG, LIU YIFENG, SUN YANG, ZHOU LIANGSONG, YAO ZHANDONG
Принадлежит:

The invention relates to the technical field of power system management, and particularly discloses a real-time dynamic monitoring system and method for a power system, and the system comprises a monitoring host which is used for carrying out the real-time monitoring according to equipment information, and carrying out the automatic control. The microcomputer five-prevention work station is used for enabling a worker to check information in real time and outputting a corresponding control instruction; the communication management machine is connected with the monitoring host and the microcomputer five-prevention work station through the network switch and is used for information transmission; and a power distribution protection measurement and control device. According to the invention, current equipment information parameters are judged according to time, power consumption information conditions in different time periods can be displayed, and in combination with fault conditions, the time ...

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Номер записи: 2
07-07-2023 дата публикации

Power system stability control model construction method, stability control method and system

Номер: CN116404635A
Автор: DANG JIE, WANG YING, ZHOU LIANGSONG, LI FENG, XI JIANGHUI, YAO ZHANDONG, YANG ZHENG, PAN XIAOJIE, SU RENBIN, TANG XIAOJUN, ZHANG XING, CHEN JIA, YU XIAODONG, YUAN PENG, ZHAO XIONGGUANG, YU YANG, LYU PENG, REN HUA
Принадлежит:

The invention provides a power system stability control model construction method and a stability control method and system, and the method comprises the steps: respectively constructing a transient stability evaluation model and a stability control model of a power system, and carrying out the evaluation of the stability state of to-be-evaluated transient stability information based on the constructed transient stability evaluation model; and when the stable state is a transient instability state, inputting transient stability information to be evaluated into the stability control model to obtain an optimal prevention and control strategy. Based on the artificial intelligence technology, the deep learning neural network and reinforcement learning are combined, the transient stability of the power system is rapidly analyzed and accurately evaluated, the optimal prevention and control strategy under the instability condition is given, the requirements of a traditional power system simulation ...

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Номер записи: 3