The University of Southampton
University of Southampton Institutional Repository

Short-range non-bending fully distributed water/humidity sensors

Short-range non-bending fully distributed water/humidity sensors
Short-range non-bending fully distributed water/humidity sensors

Existing sensing technologies lack the ability to spatially resolve multiple sources of water or humidity without relying on the deployment of numerous inline sensors. A fully distributed approach has the potential to unlock a diverse range of applications, such as humidity mapping and liquid-depth measurements. We have explored a new direction toward what is, to the best of our knowledge, the first non-bending fully distributed water/humidity sensors. This new class of sensors was made possible from the first combination of small-core exposed-core fiber, a hydrophilic polyelectrolyte multilayer coating, and coherent optical frequency-domain reflectometry. Their non-bending nature enables deployment in a wider range of environments compared to the bending type based on water-induced fiber bending. The sensing mechanism involves monitoring back-reflected optical signals created by changes in the local reflectivity due to water-induced reduction in the local refractive-index of the coating. The demonstrated average sensitivity of the sensing fiber with 10.0 bilayer polyelectrolyte multilayer coating to relative humidity varies from 0.060 to 0.001/%RH (0-38 cm distance) within a dynamic range of 26-95%RH. The distance-dependent detection limit varies between 0.3-10.0%RH (0-38 cm distance), and the spatial resolution of 4.6 mm is the smallest demonstrated for exposed-core fibers and can be vastly improved by simply broadening the swept range. The response time is 4-6 s, and the recovery time is 3-5 s. The sensing range (i.e., distance) is -0.5 m, which is more suitable for water-depth monitoring.

Distributed, exposed core, frequency, humidity, hygrometer, OFDR, optical fiber, polyelectrolyte coating, reflectometry, sensor, water
0733-8724
2014-2022
Chen, George Y.
b766d3f7-a6dc-4c15-8f00-17ad044348c1
Wu, Xuan
f6df6b7a-8de6-4dae-af4c-1d89228ae531
Schartner, Erik P.
600d0555-48c8-4854-90bc-1eef2b68eb3c
Shahnia, Soroush
a7468ef1-5db5-4359-8101-ee12fcddb79f
Hebert, Nicolas Bourbeau
ca244879-6fbc-46b8-af0e-cb5e4a7430bd
Yu, Li
ba6d107a-4a5e-4065-8fb4-12de5fc22c2f
Liu, Xiaokong
54c5eb00-0862-4397-b1b0-f94cac2a0275
Shahraam, Afshar V.
7437005b-3f34-499d-a656-b250a9e1c8ee
Newson, Trevor P.
6735857e-d947-45ec-8163-54ebb25daad7
Ebendorff-Heidepriem, Heike
83fc0e57-ee8c-4e7d-ab6f-5fd7074f4bc8
Xu, Haolan
2bae2417-d547-44ec-8c0f-e57d052f98b0
Lancaster, David G.
4c1e2bb1-fa1a-4a42-86eb-58025c753e06
Monro, Tanya M.
20e60474-c0f6-4c5e-af89-e8bd3c6fc43c
Chen, George Y.
b766d3f7-a6dc-4c15-8f00-17ad044348c1
Wu, Xuan
f6df6b7a-8de6-4dae-af4c-1d89228ae531
Schartner, Erik P.
600d0555-48c8-4854-90bc-1eef2b68eb3c
Shahnia, Soroush
a7468ef1-5db5-4359-8101-ee12fcddb79f
Hebert, Nicolas Bourbeau
ca244879-6fbc-46b8-af0e-cb5e4a7430bd
Yu, Li
ba6d107a-4a5e-4065-8fb4-12de5fc22c2f
Liu, Xiaokong
54c5eb00-0862-4397-b1b0-f94cac2a0275
Shahraam, Afshar V.
7437005b-3f34-499d-a656-b250a9e1c8ee
Newson, Trevor P.
6735857e-d947-45ec-8163-54ebb25daad7
Ebendorff-Heidepriem, Heike
83fc0e57-ee8c-4e7d-ab6f-5fd7074f4bc8
Xu, Haolan
2bae2417-d547-44ec-8c0f-e57d052f98b0
Lancaster, David G.
4c1e2bb1-fa1a-4a42-86eb-58025c753e06
Monro, Tanya M.
20e60474-c0f6-4c5e-af89-e8bd3c6fc43c

Chen, George Y., Wu, Xuan, Schartner, Erik P., Shahnia, Soroush, Hebert, Nicolas Bourbeau, Yu, Li, Liu, Xiaokong, Shahraam, Afshar V., Newson, Trevor P., Ebendorff-Heidepriem, Heike, Xu, Haolan, Lancaster, David G. and Monro, Tanya M. (2019) Short-range non-bending fully distributed water/humidity sensors. Journal of Lightwave Technology, 37 (9), 2014-2022, [8639067]. (doi:10.1109/JLT.2019.2897346).

Record type: Article

Abstract

Existing sensing technologies lack the ability to spatially resolve multiple sources of water or humidity without relying on the deployment of numerous inline sensors. A fully distributed approach has the potential to unlock a diverse range of applications, such as humidity mapping and liquid-depth measurements. We have explored a new direction toward what is, to the best of our knowledge, the first non-bending fully distributed water/humidity sensors. This new class of sensors was made possible from the first combination of small-core exposed-core fiber, a hydrophilic polyelectrolyte multilayer coating, and coherent optical frequency-domain reflectometry. Their non-bending nature enables deployment in a wider range of environments compared to the bending type based on water-induced fiber bending. The sensing mechanism involves monitoring back-reflected optical signals created by changes in the local reflectivity due to water-induced reduction in the local refractive-index of the coating. The demonstrated average sensitivity of the sensing fiber with 10.0 bilayer polyelectrolyte multilayer coating to relative humidity varies from 0.060 to 0.001/%RH (0-38 cm distance) within a dynamic range of 26-95%RH. The distance-dependent detection limit varies between 0.3-10.0%RH (0-38 cm distance), and the spatial resolution of 4.6 mm is the smallest demonstrated for exposed-core fibers and can be vastly improved by simply broadening the swept range. The response time is 4-6 s, and the recovery time is 3-5 s. The sensing range (i.e., distance) is -0.5 m, which is more suitable for water-depth monitoring.

This record has no associated files available for download.

More information

Accepted/In Press date: 1 February 2019
e-pub ahead of print date: 11 February 2019
Published date: 1 May 2019
Keywords: Distributed, exposed core, frequency, humidity, hygrometer, OFDR, optical fiber, polyelectrolyte coating, reflectometry, sensor, water

Identifiers

Local EPrints ID: 430946
URI: http://eprints.soton.ac.uk/id/eprint/430946
ISSN: 0733-8724
PURE UUID: 2638f96d-6def-41f3-bdad-f0bb83a723a4

Catalogue record

Date deposited: 17 May 2019 16:30
Last modified: 17 Mar 2024 12:25

Export record

Altmetrics

Contributors

Author: George Y. Chen
Author: Xuan Wu
Author: Erik P. Schartner
Author: Soroush Shahnia
Author: Nicolas Bourbeau Hebert
Author: Li Yu
Author: Xiaokong Liu
Author: Afshar V. Shahraam
Author: Heike Ebendorff-Heidepriem
Author: Haolan Xu
Author: David G. Lancaster
Author: Tanya M. Monro

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×