Underwater large-area high resolution monitoring by Distributed Optical Fibre Acoustic Sensors

分布式光纤声传感器水下大面积高分辨率监测

• 批准号: NE/T005890/1
• 负责人: Gilberto Brambilla
• 金额: $ 30.82万
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FT005890%2F1
• 关键词: Underwater; large; area; resolution; monitoring

A variety of problems in environmental science involve determining the location and time of origin of acoustic or seismic signals. Various marine species including whales may be tracked by triangulating their vocalisations. Active faulting and magma intrusion beneath the seabed may be located by tracking the associated seismicity. Similar approaches may be used to track gas escaping through the seabed, which is now important in the context of sub-seabed carbon capture and storage (CCS), where it is important to verify that stored gas is not escaping back to the seabed. Currently in all of these applications, sound is detected by an array comprising a relatively small number (typically a few to a few tens) of point detectors, that may be towed or (more commonly) deployed on or near the seabed. Optical-fibre Distributed Acoustic Sensing (DAS) is a new technology that allows acoustic measurements to be made at an unlimited number of locations along a fibre, with a trade-off between measurement density and sensitivity. The fibre can also be manufactured relatively cheaply and at today's market prices telecom fibres coated with a polymer layer costs less than 1p per metre. Even with fibres are engineered with additional armouring to resist the weight of vehicles passing on them, their cost only increases to a few pounds per metre. Thus, this technology has the potential to locate and quantify sound sources in and beneath the ocean with much greater accuracy, and potentially much lower cost, than hitherto possible. Deployment of this technology in the ocean is limited by poor understanding of the coupling between acoustic waves and a DAS fibre within the water column or resting on the ocean floor. In this feasibility study, we propose to use a DAS system manufactured in Southampton, which can be specifically tailored for the monitoring of underwater acoustic signals and operate at frequencies commonly not used in commercial systems, to reconstruct a 3D map of acoustic fields in the ocean. Our approach will be to firstly determine the relationship between an acoustic signal in the ocean and the signal generated in the DAS fibre laid on the seabed. We will then determine a 3D model of the acoustic sources from the sensing enabled by the seabed fibre. Our next step is to then determine how to adapt and apply DAS technology so that it is suitable for detecting, locating and quantifying acoustic noise sources in the ocean. We will do some simple tests of the new technology in test tanks and in the marine environment (a dock within the port of Southampton). This project will build on research currently funded by NERC, EPSRC, Carbon Trust, the Royal Academy of Engineering and the Royal Society to provide a novel distributed acoustic sensor network capable of high-resolution 3D detection and analysis of underwater acoustic sources

环境科学中的各种问题都涉及确定声波或地震信号的起源位置和时间。包括鲸鱼在内的各种海洋物种可以通过对它们的发声进行三角测量来追踪。可以通过跟踪相关的地震活动来定位海底下方的活动断层和岩浆侵入。类似的方法可用于跟踪通过海底逃逸的气体，这在海底碳捕获和储存（CCS）的背景下非常重要，其中重要的是验证储存的气体不会逃逸回海底。目前，在所有这些应用中，声音是通过包括相对少量（通常是几个到几十个）点检测器的阵列来检测的，这些点检测器可以被拖曳或（更常见地）部署在海床上或附近。光纤分布式声学传感 (DAS) 是一项新技术，允许在光纤上无限多个位置进行声学测量，并在测量密度和灵敏度之间进行权衡。这种光纤的制造成本也相对较低，按照当今的市场价格，涂有聚合物层的电信光纤的成本低于每米 1 便士。即使纤维设计有额外的铠装来抵抗经过其上的车辆的重量，其成本也只会增加到每米几磅。因此，该技术有可能以比迄今为止更高的精度和更低的成本来定位和量化海洋中和海底的声源。由于对声波与水柱内或海底的 DAS 光纤之间的耦合了解甚少，该技术在海洋中的部署受到限制。在这项可行性研究中，我们建议使用南安普敦制造的 DAS 系统，该系统可以专门为监测水下声学信号而定制，并以商业系统中常用的频率运行，以重建海洋声场的 3D 地图。我们的方法是首先确定海洋中的声学信号与铺设在海底的 DAS 光纤中生成的信号之间的关系。然后，我们将通过海底纤维的传感确定声源的 3D 模型。我们的下一步是确定如何调整和应用 DAS 技术，使其适合检测、定位和量化海洋中的声学噪声源。我们将在测试池和海洋环境（南安普敦港内的码头）中对新技术进行一些简单的测试。该项目将以 NERC、EPSRC、Carbon Trust、英国皇家工程院和英国皇家学会目前资助的研究为基础，提供一种新型分布式声学传感器网络，能够对水下声源进行高分辨率 3D 检测和分析

项目成果

An analysis of railway track behaviour based on distributed optical fibre acoustic sensing

• DOI: 10.1016/j.ymssp.2020.106769
• 发表时间: 2020-08-01
• 期刊: MECHANICAL SYSTEMS AND SIGNAL PROCESSING
• 影响因子: 8.4
• 作者: Milne, David;Masoudi, Ali;Le Pen, Louis
• 通讯作者: Le Pen, Louis

Long Range Raman-Amplified Distributed Acoustic Sensor Based on Spontaneous Brillouin Scattering for Large Strain Sensing.

• DOI: 10.3390/s22052047
• 发表时间: 2022-03-06
• 期刊: Sensors (Basel, Switzerland)
• 作者: Bakhtiari Gorajoobi S;Masoudi A;Brambilla G
• 通讯作者: Brambilla G

Multi-parameter optical gauge based on mode coupling effect in asymmetric index multi-core fibres

• DOI: 10.1016/j.optlaseng.2022.107047
• 发表时间: 2022
• 期刊: Optics and Lasers in Engineering
• 影响因子: 4.6
• 作者: O. Arrizabalaga;Q. Sun;Timothy Lee;J. Zubía;Javier Velasco Pascual;I. Ocáriz;A. Schülzgen;R. Amezcua-correa;G. Brambilla;M. Beresna

Surface deployment of DAS systems: Coupling strategies and comparisons to geophone data

DAS 系统的地面部署：耦合策略以及与地震检波器数据的比较

• DOI: 10.1002/nsg.12232
• 发表时间: 2022
• 期刊: Near Surface Geophysics
• 影响因子: 1.6
• 作者: Harmon N