Fiber-optic differential pressure sensor for deep-sea large pressure background conditions

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-04-14 DOI:10.1016/j.measurement.2025.117583

Xujin Li , Yiguang Yang , Haodong Liu , Xuan Cao , Weihong Zhang , Yibo Yuan , Haofeng Hu , Degang Xu , Tiegen Liu , Hongzhi Li , Yan Liu , Jianquan Yao

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引用次数: 0

Abstract

In this paper, a fiber-optic differential pressure sensor for marine sediment measurements is designed with a spring-diaphragm-spring multi-elastic structure (SDSMS), which enables high-precision differential pressure measurements under deep-sea large-pressure background conditions, and effectively solves the problems of over-range damage and large-pressure measurements of sensors. We performed a 10Mpa pressure test, a micro-pressure test and a temperature sensitivity test for the sensor respectively. The sensitivity of the sensor measurements over the ± 500kpa differential pressure range was 6.6095 pm/kpa and 6.575 pm/kPa, with linearity of 99.986 % and 99.821 %, respectively. This is our first attempt at micro-pressure measurement with fiber-optic differential pressure sensors in the context of large pressures, which achieves differential pressure measurements at the kpa level.

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深海大压力背景条件下的光纤差压传感器

本文设计了一种用于海洋沉积物测量的光纤差压传感器，采用弹簧-膜片-弹簧多弹性结构（SDSMS），实现了深海大压力背景条件下的高精度差压测量，有效解决了传感器的超量程损坏和大压力测量问题。我们分别对传感器进行了10Mpa压力测试、微压力测试和温度灵敏度测试。在±500kpa差压范围内，传感器测量灵敏度分别为6.6095 pm/kpa和6.575 pm/kpa，线性度分别为99.986%和99.821%。这是我们首次尝试在大压力环境下使用光纤差压传感器进行微压测量，实现了千帕级的差压测量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.