RAINDROP: tRansforming Acoustic SensINg for leak detection in trunk mains and water DistRibutiOn Pipelines

RAINDROP：改变声学传感技术，用于主干管和配水管道的泄漏检测

• 批准号: EP/V028111/1
• 负责人: J Muggleton
• 金额: $ 89.55万
• 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: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FV028111%2F1
• 关键词: RAINDROP; tRansforming; Acoustic; SensINg; leak

This proposal aims to develop a suite of three innovative acoustic sensing technologies for detecting water leaks in trunk and distribution mains that is able to provide significantly improved detection relative to current capabilities and enable the step change necessary to meet the challenges facing the water industry. Although primarily aimed at the water industry, aligning with the UK Water Industry Research (UKWIR) initiative 'Zero Leakage 2050', the work is also relevant to the gas and oil sectors. Leakage from pipes is a major issue in all three sectors, wasting natural resources, resulting in negative environmental and economic impacts, and causing serious safety risks. In the water industry, acoustic methods are the dominant methods for detecting leaks. However, successful application of existing methods requires regular access to the pipes, e.g. via a hydrant, which fundamentally limits the application of these methods. These problems are particularly acute in water trunk mains, in plastic pipes and in long distance oil and gas pipelines.The technologies we shall develop are:(i) Monitoring acoustic pressure along an entire pipeline using distributed acoustic sensing (DAS) using circumferential on-pipe optical fibres(ii) Coupling the vibration of the pipe wall at discrete locations to the ground surface using fine metal rods, the top of which can be monitored using conventional sensors (e.g. accelerometers or geophones)(iii) A portable 'geo- camera' to detect and pinpoint leaks from the ground surfaceReceiving widespread endorsement from both UK Water Industry Research and their members, along with the UK Water Leakage Network, they open up possibilities for both distributed acoustic monitoring of pipelines for leak prevention, as well as the remote detection of leaks.The research will comprise theoretical modelling, with a focus on physics-based mechanistic approaches; experimental measurements, in the laboratory, at outdoor test sites and on the live water network; and signal processing.

该提案旨在开发一套三种创新的声学传感技术，用于检测干线和配水管中的漏水，能够提供相对于当前能力的显着改进的检测，并实现必要的步骤变化，以应对水务行业面临的挑战。虽然主要针对水务行业，与英国水务行业研究（UKWIR）倡议“零泄漏2050”保持一致，但这项工作也与天然气和石油行业相关。管道泄漏是所有三个部门的一个主要问题，浪费自然资源，造成负面的环境和经济影响，并造成严重的安全风险。在水处理行业，声学方法是检测泄漏的主要方法。然而，现有方法的成功应用需要定期进入管道，例如通过消防栓，这从根本上限制了这些方法的应用。这些问题在输水干管、塑胶喉管及长距离油气管道方面尤为严重。我们会发展的技术包括：（i）使用分布式声学感测（DAS）利用周向管上光纤监测沿着整个管道的声压（ii）利用细金属杆将离散位置处的管壁的振动耦合到地面，其顶部可以使用传统的传感器来监测（iii）一个便携式“地球仪”，摄像头“，以检测和精确定位泄漏从地面得到广泛的认可，从英国水工业研究及其成员，沿着与英国水泄漏网络，研究将包括理论建模，重点是基于物理学的机械方法;实验室、室外试验场和活水网络的实验测量;以及信号处理。

项目成果

Recent Trends in Wave Mechanics and Vibrations - Proceedings of WMVC 2022

波动力学和振动的最新趋势 - WMVC 2022 论文集

• DOI: 10.1007/978-3-031-15758-5_112
• 发表时间: 2023
• 作者: Casado P

Estimating the spectrum of leak noise in buried plastic water distribution pipes using acoustic or vibration measurements remote from the leak

• DOI: 10.1016/j.ymssp.2020.107059
• 发表时间: 2021-01
• 期刊: Mechanical Systems and Signal Processing
• 影响因子: 8.4
• 作者: O. Scussel;M. Brennan;F. Almeida;J. Muggleton;E. Rustighi;P. Joseph

Analysis of phase data from ground vibration measurements above a leaking plastic water pipe

• DOI: 10.1016/j.jsv.2023.117873
• 发表时间: 2023-06
• 期刊: Journal of Sound and Vibration
• 影响因子: 4.7
• 作者: O. Scussel;M. Brennan;M. Iwanaga;F. Almeida;M. Karimi;J. Muggleton;P. Joseph;E. Rustighi

An Investigation into the Physical Mechanisms of Leak Noise Propagation in Buried Plastic Water Pipes: A Wave Dynamic Stiffness Approach

• DOI: 10.3390/acoustics6010009
• 发表时间: 2024-02
• 期刊: Acoustics
• 影响因子: 2.1
• 作者: O. Scussel;M. Brennan;J. Muggleton;F. C. L. de Almeida;Phillip F. Joseph;Yan Gao

Superimposed imaging of acoustic wave reflections for the detection of underground nonmetallic pipelines

• DOI: 10.1016/j.ymssp.2024.111127
• 发表时间: 2024-01-14
• 期刊: MECHANICAL SYSTEMS AND SIGNAL PROCESSING
• 影响因子: 8.4
• 作者: Cui，Xiwang;Gao，Yan;Liu，Yuyou
• 通讯作者: Liu，Yuyou