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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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Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 2. Отображено 2.
27-06-2023 дата публикации

Multi-fan wind speed and wind direction prediction method based on dynamic graph convolution and transformer

Номер: CN116341720A
Автор: HAN ZHIYING, YANG DUAN, SUN MAN, YUWEN SHAOJIA, TAN JINXIN
Принадлежит:

The invention discloses a multi-fan wind speed and wind direction prediction method based on dynamic graph convolution and transformer, and the method comprises the steps: carrying out the sampling and storage of a wind speed and wind direction X at a historical moment based on a sensor and a storage device at each fan of a wind power plant; modeling long-term spatial dependence and short-term spatial dependence of each fan of the wind power plant based on graph convolution and a graph self-attention network, constructing a dynamic graph convolution network, and obtaining spatial dependence relationship information of each moment of the wind power plant; on the basis of a self-attention mechanism of a transformer, completing modeling of a time dependency relationship of a wind speed and wind direction sequence; the graph convolutional network is embedded into a transform network, a space-time sequence prediction neural network is constructed, space-time dependency relationship modeling ...

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Номер записи: 1
02-05-2023 дата публикации

Full-field dynamic wind condition sensing algorithm under complex ground condition

Номер: CN116050182A
Автор: HAN ZHIYING, YANG DUAN, SUN MAN, YUWEN SHAOJIA, TAN JINXIN
Принадлежит:

The invention relates to a whole-field dynamic wind regime sensing algorithm under complex ground conditions, which comprises the step of establishing a whole-field wind regime model, and the specific steps of establishing the whole-field wind regime model are as follows: determining a characteristic machine position point: establishing a correlation model with other position points of the whole field through simulation to ensure that the whole field fan realizes interconnection and intercommunication of the sensing capability of each independent fan, wind condition characteristic high-precision measurement: based on advanced sensing technologies such as laser radar and the like, wind speeds around characteristic machine sites are measured and wind condition characteristics are reconstructed, and a whole-field wind condition model is trained: based on the wind condition characteristics of a plurality of characteristic machine sites obtained by a large amount of measurement, machine learning ...

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Номер записи: 2