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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 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.
08-08-2023 дата публикации

High-stability water-based ceramic glaze ink suitable for ink-jet printing and preparation method of high-stability water-based ceramic glaze ink

Номер: CN116554730A
Автор: LI DEFA, XIA CHANGKUI, LAN JUNJIE, ZHOU XIN, LI HUAYUN, XIE MINGFENG, WANG MEIXIA
Принадлежит:

The invention relates to the technical field of ceramic ink-jet printing, in particular to high-stability water-based ceramic glaze ink suitable for ink-jet printing and a preparation method of the high-stability water-based ceramic glaze ink. The water-based ceramic glaze ink comprises the following raw materials: ceramic glaze particles, an organic dispersant and an inorganic nano dispersant. According to the water-based ceramic glaze ink, the action effect of the organic dispersant can be improved, and good dispersion stability can be achieved under the condition that the using amount of the organic dispersant is small, so that the adverse effect of the organic dispersant on the sintering compactness of the ceramic glaze can be reduced.

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Номер записи: 1
04-07-2023 дата публикации

Power utilization potential safety hazard supervision system and method

Номер: CN116388400A
Автор: LI HUAWEI, RAN TAO, LI HUADONG, YOU YONG, REN SHENG, KUANG YE, WEI JING, HAO WEIDONG, LI HUAYUN, LI YONG, LIU BINBING, WEI LIANG, JIANG JINDOU, HUANG XIN, DUAN XIAOHONG, CHEN XIANHONG, MENG GAOZHONG, REN JIAXING
Принадлежит:

The invention discloses an electricity utilization potential safety hazard supervision system and method. The system comprises a data management module, an analysis display module, an information service module and a background management module. Wherein the data management module comprises a data acquisition sub-module, a data uploading sub-module and a data processing sub-module; the analysis display module comprises a real-time data sub-module and a historical data sub-module; the information service module comprises a short message service sub-module and a mail service sub-module; and the background management sub-module comprises a service management log information maintenance sub-module and a digital system display and playback sub-module. According to the invention, the problem of lack of early warning before an electrical fire accident in the prior art is effectively solved; existing electrical circuits cannot meet the increasing requirements of electrical equipment loads. Electrical ...

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Номер записи: 2
21-07-2023 дата публикации

Training method, prediction method and application of machine learning model for variable shear event prediction

Номер: CN116469456A
Автор: TU CHENGFANG, LIU TAO, LI ZHIMIN, LI HUAYUN, HAN SHAOHUAI, REN XUE, QUAN HUI, WANG JUAN
Принадлежит:

The invention relates to a training method of a machine learning model for variable shear event prediction, a variable shear event prediction method and application. The training method of the machine learning model for variable shear event prediction comprises the following steps: determining candidate software for obtaining a prediction result of a variable shear event; obtaining a training true set of a machine learning model based on the candidate software; and training a predetermined machine learning model by using the training true set of the machine learning model, the predetermined machine learning model obtaining a single variable clipping event prediction result by using the prediction results of the plurality of pieces of software determined from the candidate software on the variable clipping event. According to the method, the confidence coefficient of a prediction result can be remarkably improved, and a more accurate variable shear event prediction effect can be achieved ...

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Номер записи: 3