Development of automated condition assessment system for concrete bridge decks using airborne and ground infrared thermography

使用机载和地面红外热成像技术开发混凝土桥面自动状态评估系统

• 批准号: 491556-2015
• 负责人: Nehdi, Moncef
• 金额: $ 1.78万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=586961
• 关键词: Development; automated; condition; assessment; system

The proposed research will investigate using airborne and ground infrared thermography (IR) to detect subsurface defects in concrete bridge decks. Airborne imaging surveys of bridge decks will be conducted using an advanced hyperspectral and thermal imaging camera with adequate spatial resolution and thermal sensitivity. Ground infrared will be carried out on the same bridge decks using a vehicle mounted infrared camera. Regular visual data will be collected synchronously with the infrared data so that surface features such as staining and patching can be differentiated and mapped in the infrared images. Following field data collection, the University team will normalise the data using data mining approaches and develop an automated image segmentation algorithm using a region growing technique to reconstruct a high contrast composite image accurately delineating subsurface defects. This will result in quantifying and mapping bridge deck deterioration. Ground penetrating radar (GPR) surveys on the same bridge decks will be executed in a series of lines spaced 3 feet transversely across the width of each deck. The GPR data will be analyzed and mapped by the University researchers to examine the IRT results. Subsequently, a bridge deck condition index based on the IRT data will be developed utilizing unsupervised data clustering of the artificial neural networks technique. An automated software will be developed thereafter to facilitate the implementation of the proposed system. It is believed that coupled IR and GPR surveys of bridge decks will position the industry partner on the cutting edge of technology in this field, enhancing its competitiveness and profitability.

这项拟议的研究将研究使用机载和地面红外热像仪(IR)来检测混凝土桥面的地下缺陷。将使用具有足够空间分辨率和热敏感度的先进高光谱和热成像相机对桥面进行航空成像测量。地面红外线将使用车载红外摄像机在相同的桥面上进行。常规的视觉数据将与红外数据同步收集，以便在红外图像中区分和映射染色和补丁等表面特征。在现场数据收集之后，大学团队将使用数据挖掘方法对数据进行归一化，并开发使用区域生长技术的自动图像分割算法来重建高对比度合成图像 准确地勾画出亚表面缺陷。这将导致对桥面损坏进行量化和测绘。同一桥面上的探地雷达(GPR)测量将在每层桥面宽度上横向间隔3英尺的一系列直线上进行。探地雷达数据将由大学研究人员分析和绘制地图，以检查IRT结果。随后，利用人工神经网络的无监督数据聚类技术，建立了基于IRT数据的桥面状态指数。此后将开发一个自动化软件，以促进拟议系统的实施。相信对桥面的IR和GPR调查将使该行业合作伙伴处于该领域技术的尖端，增强其竞争力和盈利能力。