The Proactive Infrastructure Monitoring and Evaluation (PRIME) System: Automating Decision-Support and Enabling Intelligent Earthworks Management

主动基础设施监测和评估 (PRIME) 系统：自动化决策支持并实现智能土方工程管理

• 批准号: NE/N012933/1
• 负责人: Jonathan Chambers
• 金额: $ 4.63万
• 依托单位: British Geological Survey
• 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
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FN012933%2F1
• 关键词: Proactive; Infrastructure; Monitoring; Evaluation; PRIME

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.

该项目旨在开发一个低成本的地面成像系统(Prime-Proactive基础设施监测和评估)，用于远程监测基础设施土方资产。Prime将全天候连续评估土方工程的状况，帮助预测故障并进行及时干预。传统的资产监测包括(由地面人员或从航空照片上)检查表面，并使用点传感器，如含水率和倾斜仪，这些传感器只给出传感器附近的信息。但Prime将使用地球物理学来“窥探”土方工程，从而实现对水分变化和地面移动的体积跟踪，从而在更早的阶段发现问题。Prime的发展是由基础设施土方工程故障的不断增加的速度和严重程度推动的。这是由于资产老化(许多运河和铁路土方工程已有100多年的历史)和更极端的天气事件(例如2013-14年冬季的极端降雨)。资产倒闭代价巨大，仅在英国每年就造成数亿英镑的损失，更不用说对人类健康的风险，以及服务、交通系统和更广泛经济的中断。资产所有者、管理人员和顾问越来越认识到，远程监控技术通过提供持续的状态信息和故障早期预警，有可能降低这些成本和风险。为此，已成功开发了低成本Prime硬件，并在试验阶段项目中进行了演示。但在运营环境中，Prime将产生的大量数据的处理和解释必须自动化，这项技术才能在商业上可行。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乎实时的状况评估和早期预警。为了解决这一问题，该项目旨在为Prime开发一个全自动化的数据处理、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被用来识别可能导致故障的情况，并将自动生成警报。最终用户界面(仪表板)将提供对土方情况的近乎实时的解释，这也将使Prime信息能够输出到行业标准监测系统，并与之对接。该系统将在运营的铁路和水路基础设施的两个试验场进行验证，其开发将由广泛的利益相关者联盟指导，以确保该技术符合目的。Prime信息交付系统的实施将标志着资产状况监测的一步变化，以前所未有的分辨率提供高频地下信息。这将有助于采用一种强大的新办法进行近乎实时的决策支持和预警，这将提供必要的信息，以实施低成本的早期干预措施，并避免灾难性的、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服务和监测解决方案。到项目结束时，目标是开发和展示Prime技术，使其能够转化为商业部门。持有者：奥雅纳；阿特金斯；网络铁路；运河和河流信托基金；苏格兰运河；国家电网；HS2；铁路安全和标准委员会(RSSB)；ITM监测；地球传感；运输苏格兰。关键词：远程监测；预警；地下信息；地球物理成像；环境风险；基础设施状况。

项目成果

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

• 发表时间: 2016
• 作者: Inauen C

Long-term monitoring of sub-surface change in earth embankment dams

土堤坝地下变化的长期监测

• 发表时间: 2021
• 作者: Chambers, JE

Four-dimensional electrical resistivity tomography for continuous, near-real-time monitoring of a landslide affecting transport infrastructure in British Columbia, Canada

• 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
• 作者: Chambers J

Remote Condition Assessment of Geotechnical Assets Using a New Low-power ERT Monitoring System

• DOI: 10.3997/2214-4609.201602048
• 发表时间: 2016-09
• 作者: J. Chambers;P. Meldrum;P. Wilkinson;D. Gunn;S. Uhlemann;O. Kuras;R. Swift;C. Inauen;S. Butler