PFI-TT: Autonomous Robotic Systems for Bridge Inspection and Evaluation

该创新-技术转化伙伴关系（PFI-TT）项目的更广泛影响/商业潜力是显著改善民用基础设施（桥梁、隧道、大坝等）的结构健康检查和监测。通过使用自动化和非破坏性的检查机器人。在美国60万座桥梁中，超过35%的桥梁由于老化、各种机械和天气条件、维护不足以及检查和评估不足而严重恶化。仅在美国，检查和修复日益恶化的公路桥梁的费用估计就超过1400亿美元。目前，桥梁的检查是人工使用目视检查，链拖，无损评价（NDE）技术。然而，人工检测技术太慢，劳动密集，并造成交通拥堵，导致对高效，成本效益和安全的检测和评估的需求。通过新的NDE机器人开发的拟议创新将弥合这些方法之间的差距，使检查员能够及时评估桥梁状况。该项目预计将首次在美国60多万座桥梁上广泛使用先进的机器人技术，并将扩展到国际民用基础设施检测市场。该项目将推进桥梁检测机器人的开发，以自动化NDE数据收集过程并过滤NDE数据，从而对桥梁状况进行准确可靠的评估。研究目标包括：NDE传感器-机器人集成的硬件和软件开发、用于快速检测的非接触式声学阵列、用于自动检测和评估的NDE数据处理算法以及用于无缝评估桥面状况的三维数据可视化。将在桥梁和其他民用基础设施上对机器人平台进行广泛的测试和部署。如果成功，所产生的集成原型将允许快速，准确地检测和评估桥梁状况，并将创建一个标准工具，使广泛和有效地使用无损检测技术来检查其他基础设施。该项目预计将代表土木工程和基础设施维护领域的重大进步。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 Partnerships for Innovation - Technology Translation (PFI-TT) project is to significantly improve the structural health inspection and monitoring of civil infrastructures (bridges, tunnels, dams, etc.) by using automated and non-destructive inspection robots. More than 35% of the 600,000 bridges in the U.S. have been subject to extreme deterioration due to aging, various mechanical and weather conditions, inadequate maintenance, and deficiencies in inspection and evaluation. The cost of inspecting and repairing deteriorating highway bridges in the U.S. alone is estimated at more than $140 billion. Currently, bridges are inspected manually by using visual inspection, chain drag, and non-destructive evaluation (NDE) techniques. However, manual inspection techniques are too slow, labor intensive, and create traffic congestion, leading to demand for efficient, cost-effective, and safe inspection and evaluation. The proposed innovation through new NDE robotic development will bridge the gap between these approaches, allowing inspectors to assess bridge conditions in a timely manner. The project is expected to, for the first time, enable widespread use of advanced robotic technologies across more than 600,000 bridges in the U.S. and will also expand to the international civil infrastructure inspection market. The proposed project will advance the development of bridge inspection robots to automate the NDE data collection process and filter NDE data to enable accurate and reliable assessment of a bridge's condition. Research objectives include: development of hardware and software for NDE sensor-robot integration, non-contact acoustic array for fast inspections, NDE data processing algorithms for automated inspection and evaluation, and three-dimensional data visualization for seamless assessment of a bridge deck's condition. Extensive tests and deployment of the robotic platforms on bridges and other civil infrastructures will be conducted. If successful, the resulting integrated prototype will allow fast, accurate detection and evaluation of bridge conditions and will create a standard tool to enable wide and efficient use of NDE technologies to inspect other infrastructure. The project is expected to represent a major advancement within civil engineering and infrastructure maintenance.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.