Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Zhenlu SHAO"'
Publikováno v:
Meitan kexue jishu, Vol 52, Iss 7, Pp 139-147 (2024)
Underground coal fires have strong concealment and great harm, not only damaging vegetation and ecological environment, causing serious air pollution, but also easily inducing geological disasters, threatening the safety of life and property of surro
Externí odkaz:
https://doaj.org/article/4fd74ee5704e4139a59a36d34e380e39
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8979-8995 (2024)
Coal gangue is the byproduct of coal mining and preparation. Due to its susceptibility to spontaneous combustion, it causes significant environmental hazards when piled up in open dumps. The fire not only harms the environment but also poses health r
Externí odkaz:
https://doaj.org/article/603b011278234c03873ea4730cb5d3fb
Publikováno v:
Journal of Intelligent Construction, Vol 2, Iss 2, p 9180025 (2024)
Smoke control technology is crucial in the risk management of fire in underground confined spaces. In this study, the integrated foam smoke reduction device (FSRD) of “foaming–spraying” is proposed in response to the challenging problem of smok
Externí odkaz:
https://doaj.org/article/db7f4049957e490e9d61b80f9e56cbd6
Publikováno v:
Case Studies in Thermal Engineering, Vol 48, Iss , Pp 103146- (2023)
Smoldering coal gangue pile fires pollute the air, soil and groundwater severely. Physical and chemical explosions between water and fiery coal gangue may occur, resulting in a large number of casualties. Recognizing and delineating the scope of coal
Externí odkaz:
https://doaj.org/article/dedce92e82ce4ff7b54c82830695d571
Publikováno v:
Emergency Management Science and Technology, Vol 3, Iss 1, Pp 1-13 (2023)
Computer vision technology has broad application prospects in the field of intelligent fire detection, which has the benefits of accuracy, timeliness, visibility, adjustability, and multi-scene adaptability. Traditional computer vision algorithm flaw
Externí odkaz:
https://doaj.org/article/746c8c10629a4f158ccb79e46c72db84
Autor:
Yichao Yin, Yinghua Zhang, Zhian Huang, Xiangming Hu, Yukun Gao, Zhenlu Shao, Xuyao Qi, Yifu Yang
Publikováno v:
ACS Omega, Vol 6, Iss 49, Pp 33685-33693 (2021)
Externí odkaz:
https://doaj.org/article/a6d6111177064cecae8e49f3568a984d
Autor:
Zhian Huang, Yang Huang, Zhijun Yang, Jun Zhang, Yukun Gao, Zhenlu Shao, Yinghua Zhang, Mingli Chen
Publikováno v:
ACS Omega, Vol 6, Iss 2, Pp 1623-1635 (2021)
Externí odkaz:
https://doaj.org/article/991ab72d91434da494b151ad128db80b
Publikováno v:
ACS Omega, Vol 5, Iss 28, Pp 17287-17303 (2020)
Externí odkaz:
https://doaj.org/article/555631283c7f4dc2bf2d286cdcc3400d
Autor:
Zhian Huang, Wei Zhao, Zhenlu Shao, Yukun Gao, Yinghua Zhang, Ziyou Li, Jinyang Li, Qian Xixi
Publikováno v:
IEEE Access, Vol 8, Pp 122997-123012 (2020)
The teaching buildings in colleges and universities are crowded and prone to accidents. The emergency evacuation capability of these buildings is evaluated by applying the methods of fault tree, entropy weight-logarithmic fuzzy multiobjective program
Externí odkaz:
https://doaj.org/article/9a71b23f66984e58a7d6a06b3cc9fd5a
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
Coal mine gob, mined-out areas in underground coal mines, often accumulates explosive methane-air mixtures that pose a deadly hazard to miners. A good understanding of the flow field in a sealed coal mine area is crucial in preventing and minimizing
Externí odkaz:
https://doaj.org/article/0047c44f8cdf470db2d7e63b21e6f7c1