Application of Wind Profile Radar Observation Data in Dense Fog Monitoring and Early Warning

2021 ◽  
Author(s):  
Mingqiong He ◽  
Lijuan Wang ◽  
Zhengteng Yuan ◽  
Yingying Chen ◽  
Wei Yang ◽  
...  
2021 ◽  
Vol 257 ◽  
pp. 03016
Author(s):  
Shanshan Yan ◽  
Liang Xue ◽  
Tianyang Liang ◽  
Yankai Hou ◽  
Hanlu Liu ◽  
...  

Monitoring and early warning of submarine landslides could provide instant predictions for landslides, which is to avoid the destructive damage of submarine facilities such as pipelines and optical cable, etc effectively. However, researches on submarine landslide focus on numerical simulation and laboratory test, lacking support of in-situ observation data. This paper established the submarine landslide monitoring and early warning system by combining real-time monitoring data with web network platform and database technique. Based on the computational analysis of key monitoring parameters in the process of seabed deformation and sliding, the system has realized the accurate prediction and early warning of submarine landslides. The system has been applied to the submarine landslide monitoring in Zhoushan sea area, Zhejiang province, China, which has ensured the safety of offshore platforms and submarine projects in this area. The establishment of this system provides a new idea and method for submarine landslide warning.


Author(s):  
Jun-hua Chen ◽  
Da-hu Wang ◽  
Cun-yuan Sun

Objective: This study focused on the application of wearable technology in the safety monitoring and early warning for subway construction workers. Methods: With the help of real-time video surveillance and RFID positioning which was applied in the construction has realized the real-time monitoring and early warning of on-site construction to a certain extent, but there are still some problems. Real-time video surveillance technology relies on monitoring equipment, while the location of the equipment is fixed, so it is difficult to meet the full coverage of the construction site. However, wearable technologies can solve this problem, they have outstanding performance in collecting workers’ information, especially physiological state data and positioning data. Meanwhile, wearable technology has no impact on work and is not subject to the inference of dynamic environment. Results and conclusion: The first time the system applied to subway construction was a great success. During the construction of the station, the number of occurrences of safety warnings was 43 times, but the number of occurrences of safety accidents was 0, which showed that the safety monitoring and early warning system played a significant role and worked out perfectly.


Author(s):  
Zhiwen Sun ◽  
Yonggang Jia ◽  
Hongxian Shan ◽  
Zhihan Fan ◽  
Xiaoshuai Song ◽  
...  

Author(s):  
Linden McBride ◽  
Christopher B. Barrett ◽  
Christopher Browne ◽  
Leiqiu Hu ◽  
Yanyan Liu ◽  
...  

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