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Remote asset inspection for transport corridor environments

运输走廊环境的远程资产检查

基本信息

批准号：
EP/D023726/1
负责人：
Jon Mills
金额：
$ 37.17万
依托单位：
Newcastle University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2006
资助国家：
英国
起止时间：
2006 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FD023726%2F1
关键词：
Remote asset inspection transport corridor

项目摘要

The aim of this research is to improve the reliability, safety and profitability of transport networks through the identification of existing and potential slope stability hazards using integrated remote engineering surveying techniques. UK industry and government agencies have recently invested heavily in applying a number of remote sensing techniques to transport environments. The proposed research seeks to develop methods in which remotely sensed data can be utilised to perform intelligent analysis in transport corridor environments, namely by integrating high resolution airborne LiDAR, NIR digital imagery and terrestrial laser scanning.The research will consist of four complementary work packages. Firstly it is necessary to identify robust and multi-compatible workflows that will allow the core research to take place. Remote sensing techniques will then be employed to undertake quantitative assessment using established geotechnical and hydrological modelling. Remotely sensed data will also be used to provide qualitative assessment and identification of the symptoms of slope instability using automated/semi-automated methodologies. The combination of datasets will be addressed using a technique to consider the inherent uncertainties of data integration. Based on these results the research will focus on the process of assessing risk.The research will use both a dedicated embankment research facility currently in construction at the University of Newcastle and an industry identified test site near Ben Rhydding, near Ilkely. This will ensure both academic rigour and industrial relevance.

本研究的目的是通过使用综合远程工程测量技术识别现有和潜在的边坡稳定性危害，提高运输网络的可靠性，安全性和盈利能力。英国工业界和政府机构最近投入巨资，将一些遥感技术应用于运输环境。拟议的研究旨在开发利用遥感数据在运输走廊环境中进行智能分析的方法，即通过整合高分辨率机载激光雷达，近红外数字图像和地面激光扫描。首先，有必要确定强大和多兼容的工作流程，使核心研究得以进行。然后将利用遥感技术，利用已建立的地质技术和水文模型进行定量评估。还将利用遥感数据以自动/半自动方法对斜坡不稳定的征兆进行定性评估和识别。数据集的组合将使用一种技术来解决，以考虑数据整合的固有不确定性。根据这些结果，研究将集中在评估风险的过程中。研究将使用纽卡斯尔大学目前正在建设的专用路堤研究设施和伊尔凯利附近本·莱丁附近的一个行业确定的试验场。这将确保学术严谨性和工业相关性。