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RDTS-Based Two-Dimensional Temperature Monitoring with High Positioning Accuracy Using Grid Distribution

A novel two-dimensional (2D) positioning method based on Raman distributed temperature sensing (RDTS) has been reported to dramatically improve positioning accuracy. Using a well-designed 2D distribution of optical fiber and corresponding algorithms, the heat source can be accurately located without...

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Detalles Bibliográficos
Autores principales: Zhang, Can, Jin, ZhongXie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891450/
https://www.ncbi.nlm.nih.gov/pubmed/31744082
http://dx.doi.org/10.3390/s19224993
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author Zhang, Can
Jin, ZhongXie
author_facet Zhang, Can
Jin, ZhongXie
author_sort Zhang, Can
collection PubMed
description A novel two-dimensional (2D) positioning method based on Raman distributed temperature sensing (RDTS) has been reported to dramatically improve positioning accuracy. Using a well-designed 2D distribution of optical fiber and corresponding algorithms, the heat source can be accurately located without crosstalk; however, there is a tradeoff between sensing distance and positioning accuracy. In our experiments, an RDTS system with a spatial resolution of 0.8 m along a 3 km multimode fiber (MMF) is used with specific 2D routing rules and corresponding algorithms. A positioning accuracy of about 0.1 m is obtained without hardware modification, which could be improved through the dense arrangement of fiber; however, this would sacrifice the sensing length. This solution can be used for both flat surfaces and curved surfaces such as pipes or tank surfaces. This scheme can also be extended to three-dimensional positioning using a delicate routing design of sensing fiber.
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spelling pubmed-68914502019-12-18 RDTS-Based Two-Dimensional Temperature Monitoring with High Positioning Accuracy Using Grid Distribution Zhang, Can Jin, ZhongXie Sensors (Basel) Article A novel two-dimensional (2D) positioning method based on Raman distributed temperature sensing (RDTS) has been reported to dramatically improve positioning accuracy. Using a well-designed 2D distribution of optical fiber and corresponding algorithms, the heat source can be accurately located without crosstalk; however, there is a tradeoff between sensing distance and positioning accuracy. In our experiments, an RDTS system with a spatial resolution of 0.8 m along a 3 km multimode fiber (MMF) is used with specific 2D routing rules and corresponding algorithms. A positioning accuracy of about 0.1 m is obtained without hardware modification, which could be improved through the dense arrangement of fiber; however, this would sacrifice the sensing length. This solution can be used for both flat surfaces and curved surfaces such as pipes or tank surfaces. This scheme can also be extended to three-dimensional positioning using a delicate routing design of sensing fiber. MDPI 2019-11-16 /pmc/articles/PMC6891450/ /pubmed/31744082 http://dx.doi.org/10.3390/s19224993 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Can
Jin, ZhongXie
RDTS-Based Two-Dimensional Temperature Monitoring with High Positioning Accuracy Using Grid Distribution
title RDTS-Based Two-Dimensional Temperature Monitoring with High Positioning Accuracy Using Grid Distribution
title_full RDTS-Based Two-Dimensional Temperature Monitoring with High Positioning Accuracy Using Grid Distribution
title_fullStr RDTS-Based Two-Dimensional Temperature Monitoring with High Positioning Accuracy Using Grid Distribution
title_full_unstemmed RDTS-Based Two-Dimensional Temperature Monitoring with High Positioning Accuracy Using Grid Distribution
title_short RDTS-Based Two-Dimensional Temperature Monitoring with High Positioning Accuracy Using Grid Distribution
title_sort rdts-based two-dimensional temperature monitoring with high positioning accuracy using grid distribution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891450/
https://www.ncbi.nlm.nih.gov/pubmed/31744082
http://dx.doi.org/10.3390/s19224993
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