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采用超低采样分辨率和欠采样技术的相敏光时域反射仪中的数据缩减

Data Reduction in Phase-Sensitive OTDR with Ultra-Low Sampling Resolution and Undersampling Techniques.

作者信息

Yu Feihong, Shao Liyang, Liu Shuaiqi, Xu Weijie, Xiao Dongrui, Liu Huanhuan, Shum Perry Ping

机构信息

Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China.

Peng Cheng Laboratory, Shenzhen 518005, China.

出版信息

Sensors (Basel). 2022 Aug 24;22(17):6386. doi: 10.3390/s22176386.

DOI:10.3390/s22176386
PMID:36080845
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9459960/
Abstract

Data storage is a problem that cannot be ignored in the long-term monitoring of a phase-sensitive optical time-domain reflectometry (Φ-OTDR) system. In this paper, we proposed a data-reduction approach for heterodyne Φ-OTDR using an ultra-low sampling resolution and undersampling techniques. The operation principles were demonstrated and experiments with different sensing configurations were carried out to verify the proposed method. The results showed that the vibration signal could be accurately reconstructed from the undersampled 1-bit data. A space saving ratio of 98.75% was achieved by converting 128 MB of data (corresponding to 268.44 ms of sensing time) to 1.6 MB. The proposed method led to a potentially new data-reduction approach for heterodyne Φ-OTDR, which also provided economical guidance for the selection of the data-acquisition device.

摘要

在对相敏光时域反射仪(Φ-OTDR)系统进行长期监测时,数据存储是一个不可忽视的问题。在本文中,我们提出了一种用于外差式Φ-OTDR的数据缩减方法,该方法采用超低采样分辨率和欠采样技术。阐述了其工作原理,并进行了不同传感配置的实验以验证所提方法。结果表明,振动信号能够从欠采样的1位数据中准确重构。通过将128 MB的数据(对应268.44 ms的传感时间)转换为1.6 MB,实现了98.75%的空间节省率。所提方法为外差式Φ-OTDR带来了一种潜在的新的数据缩减方法,也为数据采集设备的选择提供了经济指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/5668f7edeac9/sensors-22-06386-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/3474cb7e02d2/sensors-22-06386-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/8ad5701b94dd/sensors-22-06386-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/a5518fd2b253/sensors-22-06386-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/3ba339bc71eb/sensors-22-06386-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/8f0c7d9353ba/sensors-22-06386-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/d10f58d846e2/sensors-22-06386-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/5668f7edeac9/sensors-22-06386-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/3474cb7e02d2/sensors-22-06386-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/8ad5701b94dd/sensors-22-06386-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/a5518fd2b253/sensors-22-06386-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/3ba339bc71eb/sensors-22-06386-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/8f0c7d9353ba/sensors-22-06386-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/d10f58d846e2/sensors-22-06386-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dc4/9459960/5668f7edeac9/sensors-22-06386-g007.jpg

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