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.

拟议的研究将研究使用机载和地面红外热成像（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灵敏度的先进高光谱和热成像相机对桥面进行机载成像调查。地面红外将使用车载红外摄像机在同一桥面上进行。常规视觉数据将与红外数据同步收集，以便可以在红外图像中区分和映射表面特征（例如染色和修补）。收集现场数据后，大学团队将使用数据挖掘方法对数据进行标准化，并使用区域生长技术开发自动图像分割算法来重建高对比度合成图像 准确描绘地下缺陷。这将导致桥面恶化的量化和绘图。同一桥面上的探地雷达 (GPR) 勘测将在横向于每个桥面宽度的一系列间隔 3 英尺的线路中进行。大学研究人员将分析探地雷达数据并绘制地图，以检查 IRT 结果。随后，将利用人工神经网络技术的无监督数据聚类开发基于 IRT 数据的桥面状况指数。此后将开发自动化软件，以促进拟议系统的实施。相信对桥面进行红外和探地雷达联合勘测将使行业合作伙伴处于该领域的技术前沿，从而增强其竞争力和盈利能力。