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 3. Отображено 3.
25-07-2023 дата публикации

Vehicle bottom clearance detection method and system of railway vehicle

Номер: CN116481480A
Автор: CHAI XUESONG, ZHOU BAOXIAN, YU GUOCHENG, ZHANG ZHIGUO, FU ZHENGRUI, XIN XIANGDANG, TANG WENYI, LI ZHANNING, CHAI YONGHONG, JIN HUA, LI JIANGUO, ZHAO JIPING
Принадлежит:

The invention relates to an underbody clearance detection method and system for a railway vehicle, and the method comprises the following steps: (1) monitoring and obtaining an underbody clearance two-dimensional matrix S0 [m, n] of the whole train; (2) obtaining the train section number K, the points Nk and Mk of data in the length direction and the width direction of each train section, and a train bottom clearance two-dimensional matrix Sk of each train section through a train division algorithm; (3) the vehicle bottom clearance two-dimensional matrix Sk [m, n] of each vehicle corresponds to the actual position of the vehicle bottom through a point cloud construction algorithm, and actual coordinates Pk, m, n [x, y] corresponding to each data point in the Sk [m, n] are obtained; and (4) through a clearance extraction algorithm, extracting T lowest clearance values at the bottom of each vehicle and positions of the T lowest clearance values. The vehicle bottom clearance detection method ...

Подробнее
Номер записи: 1
06-06-2023 дата публикации

Alarm log and fault rule extraction method based on machine learning

Номер: CN116232871A
Автор: ZHANG YIYING, WANG PENGKAI, LIU YIYANG, WANG DELONG, MA CAIXIA, ZHOU BAOXIAN
Принадлежит:

The invention discloses a rule extraction method for alarm logs and equipment faults of a network management system in an optical communication network. Performing alarm log subset division on historical alarm logs by adopting a sliding window mechanism based on a fixed sequence element number; defining multi-dimensional features for the log subset sequence to make full use of log information; feature selection is realized based on a weight random Sensen algorithm, and data balance processing is realized by adopting a sampling technology and a means of adding Gaussian noise; and finally, training a plurality of decision tree models with fewer nodes, selecting the decision tree with the highest classification accuracy for the specific type of faults, and carrying out rule extraction. According to the method, the decision-making rules of log features and faults are automatically learned from a large number of alarm logs, and the interpretability requirement of decision making is met on the ...

Подробнее
Номер записи: 2
13-06-2023 дата публикации

Respiration monitoring method based on knowledge graph

Номер: CN116259412A
Автор: ZHANG YIYING, WANG DELONG, LIU YIYANG, MA CAIXIA, ZHOU BAOXIAN
Принадлежит:

The invention relates to a respiration monitoring method based on a knowledge graph, which is mainly technically characterized by comprising the following steps of: firstly, performing named entity recognition and relation extraction on data and related disease information acquired by a sensor terminal, constructing a respiration monitoring data knowledge graph, and then visualizing the respiration monitoring data knowledge graph through a graph database Neo4j. And finally, on the basis of the existing knowledge graph, establishing a correlation model of the relationship between the respiration monitoring indexes and the diseases, and realizing the perception analysis of the health state of the human body, thereby achieving the purpose of predicting the diseases. The method is simple in principle, easy and convenient to implement, high in execution capacity, depended on a large amount of data and high in prediction accuracy. The scheme of the invention aims to effectively provide a reasonable ...

Подробнее
Номер записи: 3