Rockfall hazard alarm strategy based on FBG smart passive net structure

Sheng Li , Junjie Ma , Jun Hu

Photonic Sensors ›› 2014, Vol. 5 ›› Issue (1) : 19 -23.

PDF
Photonic Sensors ›› 2014, Vol. 5 ›› Issue (1) : 19 -23. DOI: 10.1007/s13320-014-0203-2
Regular

Rockfall hazard alarm strategy based on FBG smart passive net structure

Author information +
History +
PDF

Abstract

In order to realize working state remote monitoring for a passive net, alarm timely and correctly for the rockfall invasion, and solve the disadvantages in the existing means, such as needing power supply in situ, vulnerability to electromagnetic interference and environmental climate impact, a smart passive net structure based on the optical fiber sensing technology was designed which equipped with intercepting and sensing functions. The wire rope net as one part of the smart passive net was weaved with two kinds of optical fiber sensing elements, namely, fiber Bragg grating (FBG) perimeter severity sensors and optical fiber monitoring net with each end of the tail fiber containing an FBG probe. Based on the proposed smart structure, a combination alarm strategy for rockfall was proposed, which can distinguish transmission bug, whether the rockfall invasion or net broken occurs. Through a designed simulation test, the effectiveness of the proposed alarm strategy was certificated.

Keywords

Passive net / rockfall hazard / fiber Bragg grating / disaster alarm strategy / tunnel portal

Cite this article

Download citation ▾
Sheng Li, Junjie Ma, Jun Hu. Rockfall hazard alarm strategy based on FBG smart passive net structure. Photonic Sensors, 2014, 5(1): 19-23 DOI:10.1007/s13320-014-0203-2

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

She T J. Design interim provisions for the newly-built passenger railway line with 300–350 km/h speed, 2008, Beijing: China Railway Publishing House

[2]

Chu Y J J. Disaster prevention safety monitoring system of high speed railway-foreign invasion monitoring scheme for road across railway overpass, 2010, Beijing: China Railway Publishing House, 739.

[3]

Lambert S, Bourrier F. Design of rockfall protection embankments: a review. Engineering Geology, 2013, 154(2): 77-88.

[4]

Wang T, Shi H, Wang Q, Wang H. Research on instrusion monitoring system for PDL. Railway Computer Application, 2009, 18(7): 8-10.

[5]

Meng G, Zheng R. Research on metro gauge inspection system based on laser-photogrammertric method. Journal of Lanzhou Jiaotong University, 2013, 32(4): 5-9.

[6]

Yin S, Zhou B, Zhang C. Application of infrared imaging to monitor systems for driving safety in railways. Journal of Southwest Jiaotong University, 1997, 32(5): 540-545.

[7]

Wang Z, Yang C. Current status and development trend of monitoring systems for expressway tunnels. Modern Tunneling Technology, 2009, 46(6): 8-14.

[8]

Zhong S, Huang Y. Application and function discussion on long-term video monitoring system for railway. Chinese Railway, 2008 45-47.

[9]

Research Institute of Highway Ministry of Transport Component of flexible system for protecting highway slope (JT/T 528-2004), 2004, Beijing: China Communications Press

[10]

StandardMetrology Research Institute of the Ministry of Railway The flexible safety net for protection of slope along the line (TBT/T 3089-2004), 2004, Beijing: China Railway Publishing House

[11]

Zhang C. Fiber Bragg grating intelligent perimeter security method and key technology research, 2013, China: Wuhan University of Technology

[12]

Zhang A, Gao S, Yan G, Baiet Y. Advances in optical fiber Bragg grating sensor technologies. Photonic Sensors, 2012, 2(1): 1-13.

[13]

Zhang C, Wang L, Lin B, Dai Y, Gan W. A novel invasion algorithm for FBG perimeter security system. Journal of Optoelectronics·Laser, 2013, 24(6): 1138-1144.

[14]

Zhang C, Wang L, Lin B, Dai Y, Gan W. Identical FBG vibration sensor for perimeter security system. Semiconductor optoelectronics, 2013, 34(3): 516-520.

AI Summary AI Mindmap
PDF

99

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/