Issue |
EPJ Web Conf.
Volume 287, 2023
EOS Annual Meeting (EOSAM 2023)
|
|
---|---|---|
Article Number | 09032 | |
Number of page(s) | 2 | |
Section | Topical Meeting (TOM) 9- Applications in Optics and Photonics | |
DOI | https://doi.org/10.1051/epjconf/202328709032 | |
Published online | 18 October 2023 |
https://doi.org/10.1051/epjconf/202328709032
Experimental characterization of a Raman based distributed temperature sensor using a 1064 nm pump
1 Institute of Telecommunications, Campus de Santiago, 3810-193 Aveiro, Portugal
2 University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
* Corresponding author: joana.saraiva.vieira@av.it.pt
Published online: 18 October 2023
In this work, we present proof-of-concept of a Raman based distributed temperature sensor using standard telecommunication fiber as the sensing element. To allow coexistence with data transmission, a pump source with a wavelength of 1064 nm is used. The proposed DTS is characterized in the range of 20 °C to 100 °C, using the ratio between the Raman band’s powers linearized. We established a characteristic curve of the sensor with a sensitivity of 0.0018±0.0001 /°C, showing that the proposed DTS can detect temperature variations. This work is the first step forward in the development of distributed sensors that coexist with data transmission over the same optical fiber.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.