scholarly journals DFOS Applications to Geo-Engineering Monitoring

2021 ◽  
Author(s):  
Bin Shi ◽  
Dan Zhang ◽  
Honghu Zhu ◽  
Chengcheng Zhang ◽  
Kai Gu ◽  
...  

AbstractOptical fiber sensing technology has developed rapidly since the 1980s with the development of the optical fiber and fiber optical communication technology. It is a new type of sensing technology that uses light as a carrier and optical fiber as a medium to sense and transmit external signals (measurands). Distributed fiber optical sensors (DFOS) can continuously measure the external physical parameters distributed along the geometric path of the optical fiber. Meanwhile, the spatial distribution and change information of the measured physical parameters over time can be obtained. This technology has unmatched advantages over traditional point-wise and electrical measurement monitoring technologies. This paper summarizes the state-of-the-art research of the application of the distributed optical fiber sensing technology in geo-engineering in the past 10 years, mainly including the advantages of DFOS, the challenges in geo-engineering monitoring, related fundamental theoretical issues, sensing performance of the optical sensing cables, distributed optical fiber monitoring system for geo-engineering, and applications of optical fiber sensing technology in geo-engineering.

2019 ◽  
Vol 9 (12) ◽  
pp. 2435 ◽  
Author(s):  
Lei Gao ◽  
Chuan Han ◽  
Zhongquan Xu ◽  
Yingjie Jin ◽  
Jianqiang Yan

In order to study the deformation of bored pile, it is necessary to monitor the strain of the pile. The distributed optical fiber sensing technology realizes the integration of sensing and transmission, which is incomparable with traditional point monitoring method. In this paper, the Brillouin optical time domain reflectometer (BOTDR) distributed optical fiber sensing technology is used to monitor the deformation of the bored pile. The raw data monitored by BOTDR is processed by the wavelet basis function, that can perform noise removal processing. Three different methods of noise removal are chosen. Through the processing, the db5 wavelet is used to decompose the deformation data of bored pile monitored by BOTDR into two layers. The decomposed high-frequency signal is denoised by the Stein-based unbiased risk threshold, rigrsure. The decomposed data is smoothed by the translational mean method, and the final data after denoising and smoothing processing is real and reliable. The results of this study will provide data support for the deformation characteristics of bored pile, and also show the advantages of distributed optical fiber sensing technology.


Measurement ◽  
2018 ◽  
Vol 122 ◽  
pp. 57-65 ◽  
Author(s):  
Liang Ren ◽  
Tao Jiang ◽  
Zi-guang Jia ◽  
Dong-sheng Li ◽  
Chao-lin Yuan ◽  
...  

2021 ◽  
Vol 41 (1) ◽  
pp. 0106004
Author(s):  
张旭苹 Zhang Xuping ◽  
丁哲文 Ding Zhewen ◽  
洪瑞 Hong Rui ◽  
陈晓红 Chen Xiaohong ◽  
梁蕾 Liang Lei ◽  
...  

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