Настройки

Укажите год
-

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

Подробнее
-

Мониторинг СМИ

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

Подробнее

Форма поиска

Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
Ведите корректный номера.
Ведите корректный номера.
Ведите корректный номера.
Ведите корректный номера.
Укажите год
Укажите год
Применить Всего найдено 7. Отображено 7.
13-04-2021 дата публикации

Metallurgical material stirring device

Номер: CN212942699U
Автор: QIU MANMAN, 邱曼曼
Принадлежит: QIU MANMAN, 邱曼曼

The utility model belongs to the technical field of metallurgical stirring, particularly relates to a metallurgical material stirring device, and provides the following scheme aiming at the problems that the existing metal metallurgy needs to grind metal into powder in advance, then the powder is transferred into a stirring box to be stirred, other substances are easily doped in the transferring process, and the metallurgical quality is influenced. A stirring box is fixedly connected to the bottom of the grinding box, a feeding hopper is fixedly connected to the inner wall of the top of the grinding box, a cover plate is rotatably connected to the top of the feeding hopper, a grinding plate is horizontally and fixedly connected into the grinding box, and a first rolling shaft is rotatably connected to the center of the grinding plate. The second bevel gear on the second rolling shaft can rotate the first rolling shaft through the first bevel gear, when the grinding disc on the first rolling ...

Подробнее
Номер записи: 1
18-07-2023 дата публикации

Extra-high voltage direct current transmission abnormal data identification method of multi-scale depth residual network

Номер: CN116451166A
Автор: KE YANGUO, ZHANG XUEYOU, XIE JIA, LUO SHA, RUAN WEI, HE CHENGCHENG, ZHANG DONGXIN, LIAO JUN, SHI WEIJIA, WEI NAN, YIN ZHEN, QIU MANMAN, ZHENG HAIXIN, YIN CHUNJIN, ZHANG JUN
Принадлежит:

The invention relates to the technical field of extra-high voltage direct current transmission system control, and particularly discloses an extra-high voltage direct current transmission abnormal data identification method of a multi-scale depth residual network, and the method comprises the steps: collecting direct current power grid data at a data sampling point; and taking the collected data as input of the multi-scale deep residual network, performing feature learning on the input data, identifying abnormal data, and completing mining of the abnormal data of the power grid. According to the method, the problem that electric power big data cannot quickly and accurately identify the extra-high voltage direct current transmission abnormal data is solved, the defects that a deep learning algorithm is difficult to learn long-sequence data and gradient disappears easily are overcome, a multi-scale deep residual network model is designed to identify the extra-high voltage direct current transmission ...

Подробнее
Номер записи: 2
23-05-2023 дата публикации

Employee performance evaluation method based on improved deep dynamic fuzzy neural network

Номер: CN116151782A
Автор: ZHANG DAN, WANG LEI, WU HAIYAN, SHI WEN, WANG YUAN, HU MAOLIANG, LIAO YUHAN, QIU MANMAN, HUO CHENG, CHEN YING, LUO CHANG, WAN LISONG, ZHAO XIAOSHAN, WANG FAZHI, GUO KEGUI, HAN YU, MENG LEI, MA HUAN, SHEN FENG, LUO JUNXIAO
Принадлежит:

The invention discloses an employee performance evaluation method based on an improved deep dynamic fuzzy neural network, and relates to the technical field of employee performance evaluation, and the method comprises the following steps: S1, constructing a DFNN model which comprises five layers: an input layer, a membership function layer, a T-norm layer, a normalization layer and an output layer, and is used for making a membership function rule to train data, meanwhile, the learning speed is increased by using a hierarchical learning mode; according to the employee performance evaluation method based on the improved deep dynamic fuzzy neural network, through a PSO-DFNN algorithm, aiming at the defects of a DFNN algorithm, a dynamic and deep structure is added to increase the data training ability of a model, meanwhile, a membership function is improved, and parameters are optimized by adopting the PSO algorithm, so that the optimal training effect is achieved; and meanwhile, the result ...

Подробнее
Номер записи: 3
04-07-2023 дата публикации

Electric power training simulation system based on theory and practical operation

Номер: CN116386394A
Автор: ZHANG DAN, FU ZHENBIN, ZHOU PAN, WU HAIYAN, SHI WEN, WANG YUAN, HU MAOLIANG, LIAO YUHAN, QIU MANMAN, HUO CHENG, CHEN YING, LUO CHANG, WAN LISONG, ZHAO XIAOSHAN, WANG FAZHI, GUO KEGUI, HAN YU, MENG LEI, MA HUAN, SHEN FENG, LUO JUNXIAO
Принадлежит:

The invention discloses an electric power training simulation system based on theory and practical operation, and relates to the technical field of personnel training management, the electric power training simulation system comprises a display terminal, a somatosensory matrix module, a control terminal module, a microcircuit controller, a theory examination module, a behavior monitoring module and a scoring calculation module, and a correct electric power operation specification flow is stored in the display terminal; according to the electric power training simulation system based on theory and practical operation, by arranging the display terminal, the somatosensory matrix module, the control terminal module and the like, dynamic behaviors of students are converted into interpretable electronic signals, and the electronic signals are converted through the microcircuit controller and displayed on the display terminal; and the difference between the dynamic behavior of the trainee and ...

Подробнее
Номер записи: 4
28-07-2023 дата публикации

Intelligent electric maintenance platform for high-voltage circuit breaker

Номер: CN116505420A
Автор: WU SHENG, HUANG SHILEI, WU DONGHUI, LUO SHA, KE YANGUO, QIU MANMAN, MA HUAN, ZHANG DAN, WU HAIYAN, JIA FENGMING, WANG YUAN, JIAO RUITING, PENG XIANGTIAN, DING XUEFEI
Принадлежит:

The intelligent electric maintenance platform comprises a supporting unit and a transportation unit, a first supporting frame of the supporting unit ascends and descends along with a first lifting mechanism, a first sliding rail extending horizontally is arranged on the first supporting frame, and a supporting tray is movably installed on the first supporting frame through the first sliding rail; a second supporting frame of the conveying unit ascends and descends along with a second lifting mechanism, and a second sliding rail corresponding to the first sliding rail is arranged on the second supporting frame. According to the optimized intelligent electric maintenance platform for the high-voltage circuit breaker, the circuit breaker mechanism in a limited space in the mechanism box is supported through lifting of the supporting unit, the circuit breaker mechanism is convenient to move through the transportation unit, the hydraulic mechanism is transferred between the supporting unit and ...

Подробнее
Номер записи: 5
08-08-2023 дата публикации

Real-time human body behavior recognition method based on cross-domain bimodal feature fusion

Номер: CN116561637A
Автор: ZHANG DAN, LYU YAN, SUN WEIWEI, WU HAIYAN, SHI WEN, WANG YUAN, HU MAOLIANG, LIAO YUHAN, QIU MANMAN, HUO CHENG, CHEN YING, LUO CHANG, WAN LISONG, ZHAO XIAOSHAN, WANG FAZHI, GUO KEGUI, HAN YU, MENG LEI, MA HUAN, SHEN FENG, LUO JUNXIAO
Принадлежит:

The invention discloses a real-time human body behavior recognition method based on cross-domain bimodal feature fusion. The method comprises the following steps: 1, collecting CSI (Channel State Information) action sample data and video sample data; 2, preprocessing the collected data; 3, constructing a dual-thread action feature extraction network to extract action features in the CSI sample and the video sample; 4, constructing a feature fusion and feature alignment network to fuse the action features of the two modals; and 5, inputting the fusion features into a classifier network for human body action recognition. According to the invention, behavior identification is realized based on CSI and video bimodal information, and the method has high identification accuracy and anti-interference capability.

Подробнее
Номер записи: 6
20-03-2018 дата публикации

Take alarming function's earth connection connecting device

Номер: CN0207124339U
Автор: ZHENG XIAOQIONG, JIANG HAISHENG, CHAI HONGBO, QI MAO, CHU YIDAO, TAO MENGJIANG, ZHANG CHAO, QIU MANMAN, HE GUANGLIANG, DONG XIANGYU, WANG TAIPING, XIONG JIAN, HU QUAN
Принадлежит: STATE GRID ANHUI ELECTRIC POWER CO MAINTENANCE CO, STATE GRID CORP CHINA, STATE GRID ANHUI ELECTRIC POWER COMPANY MAINTENANCE COMPANY, STATE GRID CORPORATION OF CHINA

The utility model provides a take alarming function's earth connection connecting device relates to electric power and overhauls auxiliary assembly technical field, and through setting up connector body, base and hold -down mechanism, connector body passes through hold -down mechanism and pedestal connection, and wire copper nose establishes in the fixed slot on connector body to compress tightlythrough hold -down mechanism and connector body, can keep watch on in real time wire copper nose's on -state, can indicate wire copper nose's the joint and the loose connection state of connecting piece, protect staff's safety, and dismouting wire copper nose only needs the manual work to break hold -down mechanism off with the fingers and thumb, it is more convenient operate, and labour saving and time saving maintains that conveniently economical and practical has improved personnel's work efficiency greatly moreover.

Подробнее
Номер записи: 7