Fiber-optical distributed acoustic sensing signal enhancements using ultrafast laser and artificial intelligence for human movement detection and pipeline monitoring

Zhaoqiang Peng; Jianan Jian; HongQiao Wen; Mohan Wang; Hu Liu; Desheng Jiang; Zhihong Mao; Kevin P. Chen

doi:10.1117/12.2509875

1 March 2019 Fiber-optical distributed acoustic sensing signal enhancements using ultrafast laser and artificial intelligence for human movement detection and pipeline monitoring

Zhaoqiang Peng, Jianan Jian, HongQiao Wen, Mohan Wang, Hu Liu, Desheng Jiang, Zhihong Mao, Kevin P. Chen

Author Affiliations +

Proceedings Volume 10937, Optical Data Science II; 109370J (2019) https://doi.org/10.1117/12.2509875
Event: SPIE OPTO, 2019, San Francisco, California, United States

Abstract

This paper reports a combined technique to enhance Rayleigh scattering signal in optical fiber and deep neutral network data analytics for distributed acoustic sensing (DAS). By using ultrafast laser direct writing technique, over 45 dB of Rayleigh backscattering enhancement can be achieved in silica fibers to improve backscattering signal to improve signal to noise ratio for optical fiber DAS based on phase-sensitive optical time-domain reflectometry (Φ-OTDR). The enhanced backscattering signal enhance detections of vibration signal to subsequent data analysis and classifications. Using deep neutral networks and through both supervised and unsupervised machine learnings, the distributed acoustic sensing system were used to detect and to identify human movements to achieve <90% identification accuracies. The applications of DAS and artificial intelligence in pipeline corrosion detection and damage classification is also discussed in this paper.

Conference Presentation

Citation Download Citation

Zhaoqiang Peng, Jianan Jian, HongQiao Wen, Mohan Wang, Hu Liu, Desheng Jiang, Zhihong Mao, and Kevin P. Chen "Fiber-optical distributed acoustic sensing signal enhancements using ultrafast laser and artificial intelligence for human movement detection and pipeline monitoring", Proc. SPIE 10937, Optical Data Science II, 109370J (1 March 2019); https://doi.org/10.1117/12.2509875

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available