Zobrazeno 1 - 10
of 1 267
pro vyhledávání: '"Wang Weifeng"'
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 6, Pp 68-77 (2023)
This paper introduces the evolution and development process of coal fire and its features. This paper expounds on the detection mechanism and research progress of four layers of space exploration technology divided according to the different spatial
Externí odkaz:
https://doaj.org/article/aa762fff736d41ab9e762ecfe25b311e
Autor:
BAI Guangxing, CHEN Weile, SUN Yong, SONG Shuanglin, LI Guofang, WANG Caiping, WANG Weifeng, KANG Furu
Publikováno v:
Meikuang Anquan, Vol 53, Iss 9, Pp 47-54 (2022)
Starting from the perspective of method principle, system application, and technical characteristics, this paper systematically discussed the research progress of intelligent monitoring and early warning technology concerning fire risk of belt transp
Externí odkaz:
https://doaj.org/article/eea53aa94d9c479ba48d7d24e2aa0016
Publikováno v:
Meikuang Anquan, Vol 53, Iss 9, Pp 55-64 (2022)
According to the characteristics of underground electrical fire in coal mine, this paper analyzes the causes of underground electrical fire in coal mine, summarizes the research status of underground electrical fire intelligent monitoring and fire ex
Externí odkaz:
https://doaj.org/article/b30be7ac593b44998b702caae9b41f4e
Publikováno v:
Meikuang Anquan, Vol 53, Iss 9, Pp 113-121 (2022)
The dynamic change of goaf determines the complexity between limit parameters of coal spontaneous combustion and its influencing factors. In order to achieve accurate prediction of limit parameters of coal spontaneous combustion, the grey correlation
Externí odkaz:
https://doaj.org/article/cbb46e9bb0634755bf7d7dfceb907650
Autor:
REN Xiaowei, WANG Zhenxing, WANG Rui, KANG Furu, WANG Yang, HAN Dongyang, WANG Weifeng, QI Longhui, XU Yongyong
Publikováno v:
Meikuang Anquan, Vol 53, Iss 9, Pp 151-156 (2022)
In order to accurately grasp the fire hazard performance of coal mine cable, the light transmittance of coal mine cable fire smoke, ignition time, peak heat release rate(PHRR), total heat release(THR), peak smoke generation rate(PSPR) and total smoke
Externí odkaz:
https://doaj.org/article/99cb7188895d4d1799bb9a0f154797a7
Publikováno v:
Meikuang Anquan, Vol 53, Iss 9, Pp 193-197 (2022)
In view of the difficulty of professional management of “one ventilation and three prevention” to meet the demand of daily intelligent control of mine, the paper proposes to build an intelligent control system for one ventilation and three preven
Externí odkaz:
https://doaj.org/article/813d38a5e32d436ab374511d2ed8cd54
Publikováno v:
Meikuang Anquan, Vol 53, Iss 9, Pp 31-37 (2022)
Coal spontaneous combustion disaster is one of the main disasters in the process of coal mining. The acquisition of multi-source three-dimensional parameters of spontaneous coal combustion, the in-depth analysis of data, the establishment of mathemat
Externí odkaz:
https://doaj.org/article/5654ce1a8e214077a54c2e8011a51d6a
Publikováno v:
Gong-kuang zidonghua, Vol 47, Iss 9, Pp 53-57 (2021)
In order to solve the problems of video image distortion caused by uneven light distribution and low accuracy of fire identification in coal mines, an intelligent identification method of mine fire video images is proposed. The method uses YOLOv5 as
Externí odkaz:
https://doaj.org/article/6bccf3b919644b57badc0350b3c2d5fc
Autor:
Lu, Jiada, Zhou, WeiWei, Qian, Xiang, Lian, Dongze, Xu, Yanyu, Wang, Weifeng, Cao, Lina, Gao, Shenghua
Repetitive action counting quantifies the frequency of specific actions performed by individuals. However, existing action-counting datasets have limited action diversity, potentially hampering model performance on unseen actions. To address this iss
Externí odkaz:
http://arxiv.org/abs/2406.12178
Publikováno v:
Systems Science & Control Engineering, Vol 7, Iss 1, Pp 243-251 (2019)
Scene recognition is quite important in the field of robotics and computer vision. Aiming at providing high performance and universality of feature extraction, a convolutional neural network-based scene recognition model entitled Scene-RecNet is prop
Externí odkaz:
https://doaj.org/article/dca8fd9e674f4717a3a3831f8b2ca821