Industrial research of a disruptive technology to monitor the health of rail subsurface infrastructure (hidden) assets in real time using innovative radar and visualisation technologies - Infrastructure Monitoring System (INFRAMONIT)
Industrial research of a disruptive technology to monitor the health of rail subsurface infrastructure (hidden) assets in real time using innovative radar and visualisation technologies - Infrastructure Monitoring System (INFRAMONIT)
批准号:
104245
负责人:
金额:
$108.52万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
颠覆性技术的工业研究,利用创新的雷达和可视化技术实时监测铁路地下基础设施(隐藏)资产的健康状况——基础设施监测系统(INFRAMONIT)。该项目只是解决了如何维护地下基础设施的全球挑战。它侧重于基于列车巡检的智能维护,为基于状态的干预提供准确、及时的信息,并减少工人在运营铁路上或附近的需要。INFRAMONIT可以看到地表以下,以检查铁路路基、铁路压载物、排水系统、路基、水管和公用设施、隧道衬砌、挡土墙和桥梁表面结构。铁路基础设施必须满足未来客运和货运客户的需求,并且应该更可靠、更容易获得、更容易维护。INFRAMONIT提供了利用智能内置传感器和新型雷达技术实时监控基础设施资产健康状况的创新技术。计划中的研究是一项重要的调查,目的是为了产品开发,从而提高当前的最先进技术。它将创建一个原型演示器,将在实验室中模拟基础设施故障进行技术验证。它的目标是通过开发一种自动提供预防性维护计划的技术,以更好地监控和可视化基础设施的状态,避免中断列车服务,从而在故障发生之前完成维护。该项目将提供一种新的智能技术,用于检查和维护弹性综合铁路基础设施。该系统是创新的,独特的,参与网络铁路的运输基础设施管理人员相信它具有巨大的市场潜力。中小企业将利用这个项目,展开这项颠覆性的基础设施检查雷达技术的商业发展。有两个主要的创新焦点,第一个是天线的新颖旋转运动学,它允许从围绕车辆纵轴的360度条带连续收集数据。这提供了一个显著的竞争优势,超过目前的艺术系统的状态,其中包括几个垂直固定天线均匀地沿着车辆的横向轴定位。第二个重点是基础处理软件,将原始雷达数据转换为地下可视化,这将与原型机并行开发。关键词:雷达、检测、可视化、预防性维护、铁路基础设施、弹性、容量、故障、修复、计划维护。
英文摘要
Industrial research of disruptive technologies to monitor the health of rail subsurface infrastructure (hidden) assets in real time using innovative radar and visualisation technologies -- Infrastructure Monitoring System (INFRAMONIT).This project simply addresses the global challenge of how to maintain subsurface infrastructure. It focuses on Intelligent Maintenance based on trainborne inspection which provides accurate, timely information for condition-based intervention and reduces the need for workers to be on or about the operating railway. INFRAMONIT can see below the surface to inspect rail substructure, rail ballast, drainage systems, subgrade, water pipes and utilities, tunnel linings, retaining walls and bridge surface structures. Rail infrastructure must meet the future needs of passenger and freight customers and should be more reliable, more readily available and easier to maintain.INFRAMONIT provides the innovations that monitor the health of the infrastructure assets in real time using smart, built-in sensors and novel radar technology. The planned research is a critical investigation for the purpose of product development leading to an improvement in the current state-of-the-art. It will create a prototype demonstrator which will be tested in a laboratory with simulated infrastructure failures for technology validation. It targets a better way of monitoring and visualising the status of infrastructure to avoid disrupting train services by developing a technology that automatically delivers preventive maintenance plans so that maintenance can be completed before a failure occurs.This project will provide a new smart technology to inspect and maintain resilient integrated rail infrastructure. The system is innovative, unique and the transport infrastructure managers involved from Network Rail are confident it has a large market potential. The SMEs will use the project to commence the commercial development of this disruptive technology of infrastructure inspection radar.There are two main foci of innovation, the first is the novel rotational kinematics of the antennae, which allows data to be collected continuously from a three-hundred sixty-degree swath about the longitudinal axis of the vehicle. This offers a significant competitive advantage over current state of the art systems, which consists of several vertically fixed antennae uniformly positioned along the vehicle's lateral axis. The second focus is on fundamental processing software to transform the raw radar data into subsurface visualisations, which will be developed in parallel with the prototype.Key words: radar, inspection, visualisation, preventative maintenance, rail infrastructure, resilience, capacity, failure, repair, planned maintenance.
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