The Proactive Infrastructure Monitoring and Evaluation (PRIME) System: Automating Decision-Support and Enabling Intelligent Earthworks Management
The Proactive Infrastructure Monitoring and Evaluation (PRIME) System: Automating Decision-Support and Enabling Intelligent Earthworks Management
批准号:
NE/N012933/1
负责人:
Jonathan Chambers
金额:
$4.63万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
该项目旨在开发一种低成本地面成像系统(PRIME -主动基础设施监测和评估),用于远程监测基础设施的可维护资产。PRIME将连续24/7评估土方工程的状况,帮助预测故障并及时进行干预。传统的资产监测涉及检查表面(由地面上的人或从空中拍摄的照片)和使用点传感器,如水分含量和倾斜仪,这些传感器只提供传感器附近的信息。但是,PRIME将利用地球物理学来“观察”土方工程内部,从而能够对含水量变化和地面运动进行体积跟踪,从而在更早的阶段发现问题。PRIME的发展受到基础设施故障率和严重程度不断增加的推动。这是由于资产老化(许多运河和铁路土方工程都有一百多年的历史)和更多的极端天气事件(例如2013-14年冬季的极端降雨)。资产失败的代价是巨大的,仅在英国每年就损失数亿英镑,更不用说对人类健康的风险以及服务,运输系统和更广泛的经济中断。资产所有者、管理者和顾问越来越认识到,远程监控技术通过提供连续的状态信息和故障预警,有可能降低这些成本和风险。为此,低成本的PRIME硬件已经成功开发,并在试点阶段项目中得到了演示。但在操作环境中,PRIME将产生的大量数据的处理和解释必须自动化,以使该技术在商业上可行。对系统的人工监督根本无法在延长的监测期内提供具有成本效益的近实时状态评估和早期预警。为了解决这个问题,该项目旨在为PRIME开发一个全自动的数据处理,图像分析和决策支持系统。医学物理学中已经使用的方法将用于识别可能导致故障的条件,并自动生成警报。最终用户界面(仪表板)将提供对PRIME条件的近实时解释,该界面还将使PRIME信息能够导出到行业标准监测系统并与之对接。该系统将在运营铁路和水路基础设施的两个测试站点进行验证,其开发将由广泛的利益相关者联盟指导,以确保该技术适用于目的。PRIME信息交付系统的实施将代表资产状况监测的一个步骤,以前所未有的分辨率提供高频地下信息。这将有助于采取一种强有力的新办法来进行近实时的决策支持和预警,从而提供必要的信息,以实施低成本的早期干预措施,避免灾难性的、成本极高的基础设施故障。此外,PRIME的开发和商业化将使专业顾问和技术公司能够提供尖端的服务和监测解决方案。在项目结束时,目标是开发和演示PRIME技术,使其能够转化为商业部门。利益相关者:Arup;阿特金斯; Network Rail; Canal and River Trust; Scottish Canals; National Grid; HS 2; Rail Safety and Standards Board(RSSB); ITM Monitoring; GeoSense; Transport Scotland。地球物理成像;环境风险;基础设施状况。
英文摘要
This project aims to develop a low cost ground imaging system (PRIME - Proactive Infrastructure Monitoring and Evaluation) for remote monitoring of infrastructure earthwork assets. PRIME will assess the condition of the earthworks on a continuous 24/7 basis, helping to predict failures and enable timely intervention. Conventional asset monitoring involves examining the surface (either by people on the ground or from aerial photos) and using point sensors, like moisture content and tilt meters, which only give information in the immediate vicinity of the sensor. But PRIME will use geophysics to 'see inside' the earthworks, enabling volumetric tracking of moisture content changes and ground movement, and so identifying problems at a much earlier stage.The development of PRIME is driven by the increasing rate and severity of infrastructure earthwork failures. This is due to aging assets (many canal and rail earthworks are over a hundred years old) and more extreme weather events (e.g. the extreme rainfall during winter 2013-14). Asset failures are enormously expensive, costing hundreds of millions of pounds per year in the UK alone, not to mention risks to human health and disruption of services, transport systems and the wider economy. There is growing recognition among asset owners, managers, and consultants that remote monitoring technologies have the potential to reduce these costs and risks by providing continuous condition information and early warnings of failure.To this end, low-cost PRIME hardware has already been successfully developed and demonstrated during a pilot phase project. But in an operational environment, the processing and interpretation of the large volumes of data that PRIME will produce must be automated for the technology to be commercially viable. Manual oversight of the systems simply would not be able to deliver cost-effective near real-time condition assessments and early warnings over extended monitoring periods. To address this, the project aims to develop a fully-automated data processing, image analysis and decision support system for PRIME. Methods already used in medical physics will be employed to recognise conditions likely to give rise to failure and will automatically generate alarms. The near real-time interpretation of the earthwork condition will be provided by an end-user interface (the dashboard), which will also enable PRIME information to be exported to, and interface with, industry-standard monitoring systems. The system will be validated at two test sites on operational rail and waterways infrastructure, and its development will be steered by a broad consortium of stakeholders to ensure that the technology is fit-for-purpose.Implementation of the PRIME information delivery system will represent a step-change in asset condition monitoring, providing high frequency subsurface information at unprecedented resolution. This will facilitate a powerful new approach to near-real-time decision-support and early warning, which will provide the information necessary to implement low-cost early interventions and avoid catastrophic very high cost infrastructure failures. Moreover, the development and commercialisation of PRIME will enable specialist consultants and technology companies to provide cutting edge services and monitoring solutions. By the end of the project, the aim is to have developed and demonstrated PRIME technology to a point where it is ready to be translated to the commercial sector.Stakeholders: Arup; Atkins; Network Rail; Canal and River Trust; Scottish Canals; National Grid; HS2; Rail Safety and Standards Board (RSSB); ITM Monitoring; GeoSense; Transport Scotland.Keywords: Remote monitoring; early warning; subsurface information; geophysical imaging; environmental risks; infrastructure condition.
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4D ERT Monitoring of Subsurface Water Pipe Leakage During a Controlled Field Experiment
受控现场实验期间地下水管泄漏的 4D ERT 监测
DOI:
--
发表时间:
2016
期刊:
影响因子:
--
作者:
[Inauen C]
通讯作者:
Inauen C
DOI:
--
发表时间:
2021
期刊:
影响因子:
--
作者:
[Chambers, JE]
通讯作者:
Chambers, JE
DOI:
10.1002/nsg.12102
发表时间:
2020-04-29
期刊:
NEAR SURFACE GEOPHYSICS
影响因子:
1.6
作者:
[Holmes, Jessica, Chambers, Jonathan, Donohue, Shane]
通讯作者:
Donohue, Shane
Novel Low-Power Autonomous Ground Imaging Technology for Geohazard Monitoring, Information Delivery and Decision Support
用于地质灾害监测、信息交付和决策支持的新型低功耗自主地面成像技术
DOI:
10.3997/2214-4609.201901663
发表时间:
2019
期刊:
影响因子:
--
作者:
[Chambers J]
通讯作者:
Chambers J
DOI:
10.3997/2214-4609.201602048
发表时间:
2016-09
期刊:
影响因子:
--
作者:
[J. Chambers;P. Meldrum;P. Wilkinson;D. Gunn;S. Uhlemann;O. Kuras;R. Swift;C. Inauen;S. Butler]
通讯作者:
J. Chambers;P. Meldrum;P. Wilkinson;D. Gunn;S. Uhlemann;O. Kuras;R. Swift;C. Inauen;S. Butler
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