A Study of Wireless Monitoring early Warning Technology of Goaf Temperature Field

2012 ◽  
Vol 220-223 ◽  
pp. 1577-1583 ◽  
Author(s):  
Yong Fei Jin ◽  
Jun Deng ◽  
Wei Feng Wang ◽  
Xiao Kun Chen

With regard to goafs where spontaneous combustion of coal is very likely to occur, wireless monitoring and early warning techniques in temperature field of goaf are raised. Wireless monitoring and early warning system in temperature field of goaf based on wireless sensor network is researched and developed. Comprehensive detection, identification and early warning in temperature field of goaf are realized. Key parameters of node deployment of wireless temperature sensor in goaf are figured out and the layout schemes are optimized. According to monitored temperature information, severity of coal spontaneous combustion in goaf is figured out; therefore, early warning methods at the position of fire source are determined. Results of industrial tests on site show that monitoring data acquisition, communication are of good timeliness and reliability, operation of the entire system is stable and key functions and technical specifications can meet the need of early identification and warning of coal spontaneous combustion.

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.


2017 ◽  
Vol 7 (12) ◽  
pp. 1234 ◽  
Author(s):  
Zongji Yang ◽  
Wei Shao ◽  
Jianping Qiao ◽  
Dong Huang ◽  
Hongling Tian ◽  
...  

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