Application of Distributed Optical Fiber Sensing Technology Based on Brillouin Scattering in Pipeline Safety Monitoring

2019 ◽  
Vol 41 (06) ◽  
pp. 80-82
Author(s):  
涛 汪
2014 ◽  
Vol 513-517 ◽  
pp. 2897-2901
Author(s):  
Hong Liang Wang ◽  
Da Da Wang ◽  
Min Cao ◽  
Shao Quan Zhang ◽  
Chuan Li ◽  
...  

Substation forced to be built in the mountains, with complex geological conditions and harsh natural conditions. The summer rainy season and the winter snow and ice have caused serious threats to the security on the mountain substation geological safety and have great impact on the power grid stability. Currently, there is no effective and continuous monitoring tool for mountain substation geological safety. Due to active crustal movement, earthquake, mudslides and other geological disasters increased significantly in some areas. Substation has undergone a number of serious geological security incidents. To solve such problems, the project intends to research and apply on the mountain substation geological safety monitoring. Firstly, analyzes the necessity of geological safety monitoring. Secondly, introduces the distributed optical fiber sensing technology, optical monitoring systems and geological safety monitoring system. Finally, makes a simulation experiment and demonstrates the feasibility and effectiveness of the method.


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.


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