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Infrastructure monitoring using passive remote imagery

使用被动远程图像进行基础设施监控

基本信息

批准号：
EP/G056838/1
负责人：
Mike Cherniakov
金额：
$ 57.79万
依托单位：
University of Birmingham
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2010
资助国家：
英国
起止时间：
2010 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FG056838%2F1
关键词：
Infrastructure monitoring using passive remote

项目摘要

Large engineering structures such as railway and highway earthworks, bridges, pipelines and dams may need to be monitored for a number of reasons. These include general performance monitoring and providing a warning of incipient or actual failure (e.g. a landslip). New infrastructure construction projects, particularly large basements and tunnels in urban areas, may require extensive monitoring systems to enable the resulting ground displacements to be measured and compensated for where necessary. The cost of such monitoring, especially over large geographical areas which may be remote or inaccessible, is significant. More efficient monitoring and early warning systems have the potential to save large sums of money, and even human life. One of the most effective ways of assessing the performance of infrastructure is to measure surface variation (displacement) and relate instability or loss of performance to the rate of change of this variation. A number of technologies are currently used for surface variation measurement; these include extensometers, D-GPS systems, prism monitoring, reflectorless laser systems, photogrammetry, and interferometric linear ground based synthetic aperture radar. All of these systems have advantages and limitations. Many are expensive, some only operate over limited distances, others require installations to monitor particular locations (such as reflectors), and some will not operate in the dark or in poor weather.The use of satellite imagery offers the potential for cost-effective measurement of surface variations. Spaceborne Interferometric Synthetic Aperture Radars (InSAR) make use of orbiting satellites to image a given area. Images from successive passes of the satellite can be used to calculate ground displacements. The primary drawback with spaceborne InSAR surface change detectors is that they were developed for global, rather than local, area monitoring purposes and have a long satellite revisit time. Another potential problem is that using only one or two satellites, an area of interest could be in an electromagnetic shadow (i.e., the satellite cannot illuminate the area due to an obstacle blocking the satellite signal). This can occur especially in urban areas or hilly terrain.Recent advances have enabled the development of a subclass of InSAR using ground surface mounted receivers, the Passive Interferometric Space-Surface Bistatic Synthetic Aperture Radar (PInSS-BSAR). The PInSS-BSAR topology has a stationary receiver fixed on the ground, with the imaging antennae pointed towards the area of interest. A satellite moving relative to the surface generates an electromagnetic ranging signal illuminating the observation area. The signal is reflected by the earth's surface, and received by the radar antennae. By using two antennae, one fixed above the other, it will be possible to calculate the change in displacement in the vertical direction. PInSS-BSAR is best utilised using non-cooperative transmitters, i.e. satellites being used for other purposes. Global Navigation Satellite Systems, such as GPS and Galileo provide large numbers of non-geostationary, simultaneously operating satellites above the horizon, which illuminate a particular region at different angles. At any time, the satellites should cover the entire surface of the planet without any points in electromagnetic shadow. The range of such as system is expected to be kilometres, and its ability to monitor continuously will provide effective early warning of excessive displacements.The proposed research seeks to develop a cost-effective monitoring system using PInSS-BSAR to measure surface variations, with specific application to linear infrastructure such as roads and railways, and their associated embankment and cutting slopes. The prototype device will be verified against existing conventional surface displacement instrumentation already installed to monitor two large failing infrastructure slopes.

大型工程结构，如铁路和公路土方工程，桥梁，管道和水坝可能需要监测的原因有很多。这些措施包括一般性能监测和提供早期或实际故障（如滑坡）的警告。新的基础设施建设项目，特别是城市地区的大型地下室和隧道，可能需要广泛的监测系统，以便能够测量由此产生的地面位移，并在必要时进行补偿。这种监测的费用，特别是在可能偏远或无法进入的广大地理区域进行监测的费用是巨大的。更有效的监测和预警系统有可能节省大量资金，甚至人命。评估基础设施性能的最有效方法之一是测量表面变化（位移），并将不稳定性或性能损失与这种变化的变化率联系起来。目前有一些技术用于测量表面变化，其中包括引伸计、D-GPS系统、棱镜监测、无反射器激光系统、摄影测量和干涉线性地面合成孔径雷达。所有这些系统都有优点和局限性。许多卫星成像设备价格昂贵，有些只能在有限的距离内使用，有些则需要安装监测特定地点的装置（如反射器），有些则不能在黑暗或恶劣天气下使用，使用卫星成像设备有可能以成本效益高的方式测量地表变化。星载干涉合成孔径雷达（干涉合成孔径雷达）利用轨道卫星对特定区域成像。卫星连续通过的图像可用于计算地面位移。星载干涉合成孔径雷达表面变化探测器的主要缺点是，它们是为全球而不是局部区域监测目的开发的，卫星重访时间长。另一个潜在的问题是，仅使用一个或两个卫星，感兴趣的区域可能处于电磁阴影中（即，由于阻挡卫星信号的障碍物，卫星不能照射该区域）。最近的进展使得能够开发出一种使用地面安装接收器的干涉合成孔径雷达子类，即无源干涉空-地双基地合成孔径雷达（PInSS-BSAR）。PInSS-BSAR拓扑结构有一个固定在地面上的固定接收器，成像天线指向感兴趣的区域。相对于表面移动的卫星产生电磁测距信号，照亮观察区域。信号被地球表面反射，并被雷达天线接收。通过使用两个天线，一个固定在另一个上面，可以计算垂直方向上的位移变化。PInSS-BSAR最好使用非合作发射机，即用于其他目的的卫星。全球导航卫星系统，如GPS和伽利略系统，提供了大量的非对地静止的，同时在地平线上运行的卫星，这些卫星以不同的角度照射特定的区域。在任何时候，卫星都应该覆盖地球的整个表面，没有任何电磁阴影。该系统的监测范围预计达数公里，其持续监测能力将为过度位移提供有效的早期预警。拟议的研究旨在开发一种具有成本效益的监测系统，利用PInSS-BSAR测量表面变化，特别适用于公路和铁路等线性基础设施及其相关的路堤和切割斜坡。原型装置将根据现有的常规表面位移仪器进行验证，这些仪器已经安装用于监测两个大型基础设施斜坡。