Spokes: MEDIUM: MIDWEST: Smart Big Data Pipeline for Aging Rural Bridge Transportation Infrastructure (SMARTI)

美国的桥梁在2017年获得了美国土木工程师协会（ASCE）的C+。此外，美国在基础设施竞争力方面仅排名全球第11位。美国的基础设施，特别是50-100多年的桥梁，健康状况不佳，这是一个隐藏的危机。农村地区由于人口密度较低，远离城市中心，受到这场危机的严重影响，特别是在公共安全和经济增长方面。有限的规划和维护预算只会加剧危机。为了更好地为未来的研究提供信息，研究小组举行了合作会议和研讨会，并进行了利益相关者调查，以确定影响农村桥梁健康的问题。这些活动的成果强调了大数据技术在应对危机方面的价值，并为拟议的工作提供了信息。这个多机构、多部门的项目的使命是为农村桥梁健康管理建立一个大数据管道，以改善交通网络性能并提高安全性。研究团队将联合收割机现有和新的数据集结合起来，使用可扩展和可复制的大数据管道组件来解决与桥梁所有者相关的挑战。活动将通过整合现有数据集和使用下一代健康监测技术收集的数据（例如，接触式和非接触式传感器、无人机）以及创新的数据管理技术。还将评估与潜在决策相关的社会技术影响。老化的农村桥梁试验台将在与公共和私人业主协商后选择，以产生数据产品，促进决策，并最终提供经济可靠的解决方案，改善桥梁健康。研究结果将在研究团队主办的研讨会上与工程师、业主和建筑商分享。将通过出版物、大小会议和论坛传播项目结果。该研究团队将与大数据中心和辐射网络合作，使数据、方法和结果在各个地区可用。此外，项目成果还将惠及用于监测和管理其他重要基础设施资产的活动，包括高速公路、建筑物、电网、海上石油平台、供水网络和其他民用基础设施。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。

America's bridges received a C+ from the American Society of Civil Engineers (ASCE) in 2017. Additionally, the US ranks only 11th world-wide in terms of infrastructure competitiveness. America's infrastructure, particularly its 50-100+ year-old bridges, is in poor health, representing a hidden crisis. Rural areas, due to their lower population density and distance from urban centers, are acutely affected by this crisis, particularly in terms of public safety and economic growth. Limited budgets for planning and maintenance only serve to exacerbate the crisis. To better inform future research, the research team held collaborative conferences and workshops, and conducted stakeholder surveys to identify issues impacting rural bridge health. Outcomes from these activities underscored the value of big data technologies to address the crisis and informed the proposed work. The mission of this multi-institution and multi-sector project is to produce a big data pipeline for rural bridge health management that improves transportation network performance and enhances safety.The research team will combine existing and new datasets to address challenges of relevance to bridge owners using scalable and replicable big data pipeline components. Activities will inform bridge owner decision-making by integrating existing datasets and data collected using next-generation health monitoring technologies (e.g., contact and non-contact sensors, unmanned aerial vehicles) with innovative data management techniques. Socio-technical impacts associated with potential decisions will also be assessed. Aging, rural bridge testbeds will be selected in consultation with public and private owners to produce data products that facilitate decision-making and ultimately, provide economical and reliable solutions that improve bridge health. Results from the research will be shared with engineers, owners, and builders at workshops hosted by the research team. Project findings will be disseminated through publications, conferences, meetings, and forums. The research team will engage with the Big Data Hubs and Spokes network to make data, methods, and results available across regions. By extension, project findings will also benefit activities used to monitor and manage other important infrastructure assets, including highways, buildings, power grids, offshore oil platforms, water networks, and other civil infrastructures.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.