I-Corps: Real-time Monitoring of Civil Structures Using Video Cameras

这个I-Corps项目更广泛的影响/商业潜力是开发一种新的工具，用于在卡车过桥时称重。 与现有的卡车称重系统相比，该技术承诺价格低廉，易于部署，速度快，很难规避。 对超重卡车进行更一致的实时识别可以显著减少这些超重卡车每年造成的数百亿美元的道路损坏。 该系统的另一个好处是，它有望提供一种新的工具来识别桥梁变形响应的变化。 这些变化将有助于诊断桥梁的结构损坏。该I-Corps项目采用光电技术实时监测土木结构的结构变形。这项技术的目的是增强/取代现有的系统，依赖于称重站的称重传感器。 该技术通过被动摄像系统测量动态载荷下结构的变形，该系统可以从远处监控结构。该系统使用现成的商用摄像机来监视结构上的特定目标，例如紧固件、反射器或结构特征。然后使用专有的像素操作算法处理实时视频，以计算3个轴上的亚毫米位移和旋转。实时观察到的信息以及从存档数据生成的数据产品可用于确定结构的性能、动态载荷的影响，甚至预测结构故障。该系统还可用于识别超重的卡车，以便在道路和桥梁上实施重量限制。该系统提供高带宽测量，同时暴露于典型的照明条件动态或其他环境条件。我们对桥梁和建筑物进行了真实条件测试，验证了该技术的可行性。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is to develop a new tool for weighing trucks as they cross bridges. Compared with existing truck weighing systems, the technology promises to be inexpensive, easy to deploy, fast and very difficult to evade. More consistent real-time identification of overweight trucks could significantly decrease the tens of billions of dollars per year of roadway damage caused by these overweight trucks. An additional benefit of the system is that it promises to provide a new tool to identify changes in the deformation response of bridges. These changes will help to diagnose structural damage to bridges. This I-Corps project employs electro-optical technology to monitor the structural deformations of civil structures in real-time. The intent of this technology is to augment/replace existing systems that rely on load cells at weigh stations. The technology measures the deformation of structures under dynamic loads with a passive camera system that can monitor the structure from a distance. The system uses off-the-shelf commercially available video cameras to monitor a specific target on a structure, such as a fastener, reflector, or structural feature. The real-time video is then processed using proprietary pixel manipulation algorithms to calculate sub-millimeter displacements and rotations in 3 axes. The information, when observed in real-time, as well as the data products generated from the archived data can be used to determine the performance of structures, the impacts of dynamic loading, and even the prediction of structural failures. The system can also be used to identify overweight trucks in order to enforce weight limits on roads and bridges. This system provides high bandwidth measurements while exposed to typical lighting condition dynamics or other ambient conditions. We have conducted real-world conditions tests on bridges and a building that validate the feasibility of the technology.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.