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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.
30-06-2023 дата публикации

Coal flow monitoring system and method based on laser scanner

Номер: CN116363193A
Автор: WU KUNSONG, GUO KAI, ZHENG LIN, HONG YUEBIN, LIU XIANCHUN, YANG YANG, SUN XINJIA
Принадлежит:

The invention discloses a coal flow monitoring system based on a laser scanner and a method thereof, which adopt an image processing technology and an artificial intelligence technology to determine the volume of transmitted coal through a three-dimensional model based on the transmitted coal in unit time. And carrying out convolution kernel-based spatial domain feature filtering on the monitoring image representing the apparent state of the coal through a convolutional neural network to capture explicit and implicit mode features in a local neighborhood in the monitoring image, so as to accurately estimate the density value of the coal. Therefore, the accurate mapping model of the apparent state characteristics of the coal and the coal density value is constructed, so that a more accurate coal flow value is obtained based on the density estimation value and the volume of the transmitted coal.

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Номер записи: 1
07-07-2023 дата публикации

Face recognition monitoring management system and method based on convolutional neural network

Номер: CN116403253A
Автор: GUO KAI, CHEN XIAOWEI, WU KUNSONG, LI WEIHAO, SUN XINJIA, LIU PENGFEI, ZHANG NAN
Принадлежит:

The invention relates to the field of intelligent recognition, and particularly discloses a face recognition monitoring management system and method based on a convolutional neural network, and the system employs an artificial intelligence monitoring technology based on machine vision, carries out the mask removal of an actually collected face detection image of a to-be-recognized worker, and carries out the recognition of the to-be-recognized worker. And extracting a mask face detection image by using an artificial intelligence algorithm based on deep learning, and comparing similarity features of the mask face detection image and each alternative face reference image in a database in a high-dimensional feature space to carry out face recognition detection on the to-be-recognized operating personnel, so as to improve the recognition accuracy of the face recognition system. In this way, the identity tag of the to-be-recognized operator can be accurately judged, so that fine management of ...

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Номер записи: 2
04-07-2023 дата публикации

Coal flow monitoring system and method based on scanned images

Номер: CN116385365A
Автор: JI CHUN, YANG JIEXIANG, SUN XINJIA, MA JIN, HUANG CHENYU, LING FENG, DAI DONGDONG
Принадлежит:

The invention discloses a coal flow monitoring system and method based on scanned images. The method comprises the following steps: firstly, calculating sectional areas of a coal flow sectional view corresponding to a plurality of preset time points intercepted from a coal flow three-dimensional model, then arranging operation speed values of a cantilever belt at the plurality of preset time points, then obtaining an operation speed characteristic vector through a multi-scale neighborhood characteristic extraction module, and finally obtaining a coal flow characteristic vector according to the operation speed characteristic vector. Secondly, processing the running speed feature vector based on a Gaussian density map to obtain a running speed feature matrix, and performing feature distribution modulation on each row vector of the running speed feature matrix to obtain a plurality of optimized row vectors; and taking a plurality of probability values obtained by the plurality of optimized ...

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Номер записи: 3
18-08-2023 дата публикации

Security monitoring system and method for workplace

Номер: CN116612431A
Автор: ZHAO XIA, SUN XINJIA, LIU XIANCHUN, ZHANG JIAN, SU RUIZHI, ZHANG HAO, ZHANG NAN
Принадлежит:

The invention discloses a security and protection monitoring system and method for a workplace, and the method comprises the steps: employing an artificial intelligence monitoring technology based on deep learning, taking monitoring images disposed at two sides of a wheel bucket excavator as input data, and extracting multi-size implicit feature information in a monitoring image obtained by splicing the two; on the basis of increasing the receptive field, the small-size perceptual ability of personnel is increased, and the characteristics of different types of intrusion objects can be captured by further utilizing an attention mechanism, so that intrusion detection is carried out. In this way, intelligent monitoring can be accurately carried out on the invasion object in the workplace.

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Номер записи: 4
07-07-2023 дата публикации

Anti-collision system and method for bucket wheel machine

Номер: CN116395411A
Автор: CAI YANZHOU, GUO KAI, WANG HAOGUANG, WU KUNSONG, TIAN HONGZHE, SUN XINJIA, ZHANG HAO
Принадлежит:

The invention relates to the field of intelligent early warning, and particularly discloses an anti-collision system and method for bucket wheel machines, and the anti-collision system and method are used for constructing an anti-collision scheme through employing an artificial intelligence detection technology based on deep learning and integrating the absolute space distance between two bucket wheel machines and the motion characteristics of the two bucket wheel machines. Therefore, the judgment accuracy and reasonability of early warning prompt are improved.

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Номер записи: 5
06-06-2023 дата публикации

Video-based intelligent monitoring system and method for coal conveying system

Номер: CN116216234A
Автор: WU KUNSONG, GUO KAI, CHEN XIAOWEI, WANG HAOGUANG, ZHAO XIA, TIAN HONGZHE, SUN XINJIA
Принадлежит:

The invention discloses a video-based intelligent monitoring system of a coal conveying system and a method thereof, and adopts an artificial intelligence monitoring technology based on machine vision. The method comprises the following steps of: extracting dynamic change characteristic information of time sequence difference distribution related to relative position correlation between a coal conveying belt and a belt coal conveyor in a space position in an actual monitoring video and an ideal reference video of the coal conveying belt; and whether the coal conveying belt deviates from the normal conveying track or not is evaluated based on the difference characteristic comparison of the two. In this way, whether the coal conveying belt deviates or not can be accurately monitored in real time, and safety early warning is given out when it is detected that the coal conveying belt deviates.

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Номер записи: 6
02-05-2023 дата публикации

Digital coal yard management system and method

Номер: CN116050855A
Автор: SUN XINJIA, TIAN HONGZHE, CHU XIAOGUO, WANG YABIN, ZHAO XIA, SUN XIAOGANG, YANG ZHENGHOU
Принадлежит:

The invention provides a digital coal yard management system and method, and belongs to the technical field of coal yard fuel digital management. The digital coal yard management system of the invention comprises a measuring device used for obtaining point cloud data of coal yard fuel distribution; the intelligent calculation service unit is used for calculating the volume stock of different coal types according to the point cloud data and reconstructing and generating a three-dimensional model; and the three-dimensional visualization unit is used for automatically displaying three-dimensional model distribution areas and current stock information of different coal types according to the three-dimensional model. According to the invention, automatic, informationized and digital management of the coal yard can be realized, statistics of daily feed and consumption of the coal yard, real-time dynamic display of stockpiling areas and medium information of different coal types and the like are ...

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Номер записи: 7