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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 7. Отображено 7.
18-08-2023 дата публикации

Fan output prediction method, device, equipment, medium and program product

Номер: CN116613738A
Автор: ZHUO YIXIN, MENG WENCHUAN, HU JIAQIU, HUANG KUI, ZHAN HOUJIAN, QIN YIMING, TANG JIAN, WEI HENG, RAO ZHI, YANG ZAIMIN, SUN SIYANG, LI LIFENG, LI SHUANG, XI YUNHUA
Принадлежит:

The invention relates to a draught fan output prediction method and device, equipment, a medium and a program product. The draught fan output prediction method comprises the steps that a target draught fan output time sequence is constructed according to draught fan output data of historical time; training a NeralProphet model according to the fan output data at the historical time and the target output time sequence to obtain a fan output prediction model; and according to the fan output prediction model, predicting whether a wind power climbing event occurs in the target fan within the to-be-detected time. According to the method, the fan output time sequence conforming to the NeralProphet model construction principle is constructed, the fan output prediction model is constructed based on the NeralProphet model, the fan output prediction model is adopted to predict the fan output data of the to-be-measured time, and finally, whether the wind power climbing time occurs within the to-be-measured ...

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Номер записи: 1
11-08-2023 дата публикации

HMM-based ultra-short-term power prediction method and system

Номер: CN116579450A
Автор: LI LING, ZHUO YIXIN, HU JIAQIU, HUANG KUI, ZHAN HOUJIAN, QIN YIMING, TANG JIAN, MENG WENCHUAN, RAO ZHI, YANG ZAIMIN, SONG MEIYANG, LIU LUNING, GUO WEI
Принадлежит:

The invention discloses an HMM-based ultra-short-term power prediction method and system, and belongs to the technical field of power prediction, and the method comprises the steps: obtaining the standardized error distribution between historical short-term prediction power data and historical actual power data; judging whether the error distribution meets Gaussian distribution or not; under the condition that Gaussian distribution is satisfied, performing short-term power prediction by adopting an ORPC ultra-short-term algorithm, a BP neural network, a GRNN neural network and an ELM extreme learning machine to obtain short-term prediction power data corresponding to different short-term prediction methods; a Markov model is adopted to obtain a transition probability matrix of n steps in the future, and ultra-short-term prediction power values of the next moment and ultra-short-term prediction power values of the fourth hour corresponding to different short-term prediction methods are obtained ...

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Номер записи: 2
23-06-2023 дата публикации

Generation method and device of wind power plant fault scene prediction model and computer equipment

Номер: CN116304713A
Автор: TANG JIAN, ZHUO YIXIN, MENG WENCHUAN, HU JIAQIU, HUANG KUI, ZHAN HOUJIAN, QIN YIMING, WEI HENG, RAO ZHI, YANG ZAIMIN, LI LIFENG, SUN SIYANG, YU TAO, CHEN ZE, WANG KANGDE
Принадлежит:

The invention relates to a wind power plant fault scene prediction model generation method and device and computer equipment, and the method comprises the steps: obtaining first sample data of a wind power plant, and dividing the first sample data into an original training set and an original test set; performing k-fold cross validation training on a plurality of primary classifiers in a preset integrated model through the original training set to obtain output results of the trained primary classifiers; testing each trained primary classifier through the original test set to obtain the prediction accuracy of each trained primary classifier; obtaining second sample data according to the output result of each trained primary classifier, the prediction accuracy and the first sample data; and training a secondary classifier in the integrated model through the second sample data to obtain a trained integrated model as a prediction model of the wind power plant fault scene. By adopting the method ...

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Номер записи: 3
30-06-2023 дата публикации

Short-term power prediction method and system based on icing state of wind power plant

Номер: CN116362382A
Автор: ZHUO YIXIN, HU JIAQIU, HUANG KUI, ZHAN HOUJIAN, QIN YIMING, TANG JIAN, WEI HENG, MENG WENCHUAN, RAO ZHI, YANG ZAIMIN, LIU LUNING, SONG MEIYANG, GUO WEI
Принадлежит:

The invention discloses a short-term power prediction method and system based on an icing state of a wind power plant, and belongs to the technical field of wind power plant power prediction, and the method comprises the steps: obtaining E text data, anemometer tower data and historical icing thickness of each fan of the wind power plant; comparing the actual output power of the fan with the initial predicted output power obtained by predicting and calculating according to the data of the anemometer tower, and establishing a power-assisted prediction model; acquiring numerical meteorological data and geographic data of each fan, and correcting the numerical meteorological data; calculating an inertia coefficient, a retention coefficient and a congelation coefficient of the fan, and establishing an icing thickness calculation model; introducing a fan icing condition, calculating the correlation degree between the corrected meteorological data and the icing thickness by using a grey correlation ...

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Номер записи: 4
04-08-2023 дата публикации

Power dispatching method and device, computer equipment and computer readable storage medium

Номер: CN116545035A
Автор: HU JIAQIU, ZHUO YIXIN, HUANG KUI, TANG JIAN, ZHAN HOUJIAN, QIN YIMING, LIANG ZHENCHENG, MENG WENCHUAN, RAO ZHI, YANG ZAIMIN, LI LIFENG, SUN SIYANG, LI SHUANG, YU TAO
Принадлежит:

The invention relates to a power dispatching method and device, computer equipment, a storage medium and a computer program product, and the method comprises the steps: calling a historical total power demand sequence, a current total power demand value, a current power output value, a power generation capacity and a power generation adjustment rate according to an adjustment unit set; obtaining a predicted total power demand value according to the historical total power demand sequence and the current total power demand value; according to the current total power demand value and the power generation capacity, generating a plurality of first scheduling instructions conforming to a preset total adjustment constraint rule; predicting a total power demand value according to the first scheduling instruction, and generating a second scheduling instruction through a myxobacteria optimization algorithm; and according to the current total power demand value, the second scheduling instruction and ...

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Номер записи: 5
08-08-2023 дата публикации

Wind power plant power prediction method and device based on clustering algorithm, equipment and medium

Номер: CN116565851A
Автор: ZHUO YIXIN, MENG WENCHUAN, HU JIAQIU, HUANG KUI, ZHAN HOUJIAN, QIN YIMING, TANG JIAN, WEI HENG, RAO ZHI, YANG ZAIMIN, SUN SIYANG, LI LIFENG, LI SHUANG, XI YUNHUA, CHEN YAO
Принадлежит:

The invention relates to a wind power plant power prediction method and device based on a clustering algorithm, computer equipment and a storage medium. The wind power plant power prediction efficiency can be improved. The method comprises the following steps: segmenting a pre-acquired historical output data time sequence of a wind power plant, and obtaining a plurality of fragment sequences based on a segmentation result; clustering the plurality of fragment sequences to obtain a plurality of fragment sequence clusters, and obtaining a typical output data time sequence according to the cluster center fragment sequence of each fragment sequence cluster; obtaining a current output data time sequence; the current output time data sequence comprises a plurality of historical sequence sample points adjacent to a future time point and a prediction sequence sample point of the future time point; and determining the predicted wind power plant power of the wind power plant at the future time point ...

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Номер записи: 6
28-04-2023 дата публикации

Fan output climbing event prediction method and device and computer equipment

Номер: CN116029425A
Автор: MENG WENCHUAN, YANG ZAIMIN, RAO ZHI, LI LIFENG, SUN SIYANG, SU SHENG
Принадлежит:

The invention relates to a fan output climbing event prediction method and device and computer equipment. The method comprises the steps that multiple pieces of historical fan output data and multiple pieces of historical wind speed data of a target wind power plant and multiple pieces of wind speed data of the target wind power plant in a prediction time period are acquired; obtaining a historical fan output time sequence according to the plurality of historical fan output data, and obtaining a historical wind speed time sequence according to the plurality of historical wind speed data; processing the historical fan output time sequence, the historical wind speed time sequence and the multiple pieces of wind speed data through the trained prediction model to obtain a fan output difference curve of the target wind power plant in the prediction time period; and determining a wind power climbing event result of the target wind power plant in the prediction time period based on the fan output ...

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Номер записи: 7