Submetric Spatial Resolution ROTDR Temperature Sensor Assisted by Wiener Deconvolution

被引：15

作者：

Zhu, Wenhao ^{[1
]}

Wu, Haoting ^{[1
,2
]}

Chen, Weixuan ^{[1
]}

Zhou, Meiting ^{[1
]}

Yin, Guolu ^{[1
,2
]}

Guo, Nan ^{[1
,2
]}

Zhu, Tao ^{[1
,2
]}

机构：

[1] Chongqing Univ, Key Lab Optoelect Technol & Syst, Minist Educ, Chongqing 400044, Peoples R China

[2] Chongqing Univ, State Key Lab Coal Mine Disaster Dynam & Control, Chongqing 400044, Peoples R China

来源：

SENSORS | 2022年 / 22卷 / 24期

基金：

中国国家自然科学基金;

关键词：

distributed temperature sensing; ROTDR; Wiener deconvolution; spatial resolution;

D O I：

10.3390/s22249942

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

A submetric spatial resolution Raman optical time-domain reflectometry (ROTDR) temperature sensor assisted by the Wiener deconvolution postprocessing algorithm has been proposed and experimentally demonstrated. Without modifying the typical configuration of the ROTDR sensor and the adopted pump pulse width, the Wiener demodulation algorithm is able to recover temperature perturbations of a smaller spatial scale by deconvoluting the acquired Stokes and anti-Stokes signals. Numerical simulations have been conducted to analyze the spatial resolution achieved by the algorithm. Assisted by the algorithm, a typical ROTDR sensor adopting pump pulses of 20 ns width can realize the distributed temperature sensing with a spatial resolution of 0.5 m and temperature accuracy of 1.99 degrees C over a 2.1-km sensing fiber.

引用

页数：11

共 31 条

[1] Improving Spatial Resolution of Raman DTS Using Total Variation Deconvolution [J].

Bazzo, Joao Paulo ;

Pipa, Daniel Rodrigues ;

Martelli, Cicero ;

da Silva, Erlon Vagner ;

Cardozo da Silva, Jean Carlos .

IEEE SENSORS JOURNAL, 2016, 16 (11) :4425-4430

[2] High resolution monitoring of strain fields in concrete during hydraulic fracturing processes [J].

Chen, Rongzhang ;

Zaghloul, Mohamed A. S. ;

Yan, Aidong ;

Li, Shuo ;

Lu, Guanyi ;

Ames, Brandon C. ;

Zolfaghari, Navid ;

Bunger, Andrew P. ;

Li, Ming-Jun ;

Chen, Kevin P. .

OPTICS EXPRESS, 2016, 24 (04) :3894-3902

[3] Distributed forward Brillouin sensor based on local light phase recovery [J].

Chow, Desmond M. ;

Yang, Zhisheng ;

Soto, Marcelo A. ;

Thevenaz, Luc .

NATURE COMMUNICATIONS, 2018, 9

[4]

Claerbout J., 1976, Fundamentals of Geophysical Data Processing: With Applications to Petroleum Prospecting

[5] Single-ended self-calibration high-accuracy Raman distributed temperature sensing based on multi-core fiber [J].

Du, Haoze ;

Wu, Hao ;

Zhang, ZhongShu ;

Zhao, Can ;

Zhao, Zhiyong ;

Tang, Ming .

OPTICS EXPRESS, 2021, 29 (21) :34762-34769

[6] Ultra-Long-Distance Hybrid BOTDA/Φ-OTDR [J].

Fu, Yun ;

Wang, Zinan ;

Zhu, Richeng ;

Xue, Naitian ;

Jiang, Jialin ;

Lu, Chongyu ;

Zhang, Bin ;

Yang, Le ;

Atubga, David ;

Rao, Yunjiang .

SENSORS, 2018, 18 (04)

[7] Distributed temperature sensor combining centimeter resolution with hundreds of meters sensing range [J].

Gasser, Julien ;

Warpelin, Daryl ;

Bussieres, Felix ;

Extermann, Jerome ;

Pomarico, Enrico .

OPTICS EXPRESS, 2022, 30 (05) :6768-6777

[8] Slope-assisted Raman distributed optical fiber sensing [J].

Li, Jian ;

Zhou, Xinxin ;

Xu, Yang ;

Qiao, Lijun ;

Zhang, Jianzhong ;

Zhang, Mingjiang .

PHOTONICS RESEARCH, 2022, 10 (01) :205-213

[9] Reconstruction Compression Correlation Demodulation for Raman Optical Time Domain Reflection [J].

Li, Jian ;

Zhou, XinXin ;

Yin, Zitong ;

Wang, Chenyi ;

Xu, Yang ;

Zhang, Jianzhong ;

Zhang, Mingjiang .

ADVANCED PHOTONICS RESEARCH, 2021, 2 (10)

[10] Temperature Resolution Improvement in Raman-Based Fiber-Optic Distributed Sensor Using Dynamic Difference Attenuation Recognition [J].

Li, Jian ;

Zhou, Xinxin ;

Zhang, Mingjiang ;

Zhang, Jianzhong ;

Qiao, Lijun ;

Zhao, Le ;

Yin, Zitong .

SENSORS, 2020, 20 (23) :1-18

← 1 2 3 4 →