PFI-RP: Fiber Optic Sensing System for Smart Infrastructure Monitoring

PFI-RP：用于智能基础设施监控的光纤传感系统

• 批准号: 2234542
• 负责人: Kenichi Soga
• 金额: $ 54.71万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2234542&HistoricalAwards=false
• 关键词: PFI; RP; Fiber; Optic; Sensing

The broader impact/commercial potential of this Partnerships for Innovation - Research Partnerships (PFI-RP) project is to significantly enhance the capability in predicting and managing life expectancy of large civil infrastructure . The future infrastructure systems need smart and fast sensors to assess their performance against designed parameters and predictive models. The project will integrate smarter information gathering sensors that will focus on safety, security, lower life cycle costs, and post-disaster surveys needs in new and current infrastructure. The broader implication will be in realizing the 'smart city' approach for hazard prevention and future city management. This will be achieved by actively monitoring operational conditions using fiber optic sensing technology developed in this project. Training courses will be offered to develop future leaders in the area of infrastructure engineering. Students from underrepresented minority groups will participate in the research and work closely with the industrial partner organizations bringing together designers, engineers, operators and owners. The proposed project makes a single low-cost fiber optic cable into thousands of strain gauges, thermocouples, or accelerometers. It utilizes a patented distributed fiber optic sensing system, which provides a very high density of data (every 2 cm) over a very long distance (5-10 km). The system competes with existing technologies primarily based on its low price, high data acquisition speed and delivery of processed engineering data. The project will produce mass-producible hardware and commercial quality user interface software by (i) developing digitization hardware for a low-cost, mass production system, (ii) integrating a cloud-based data process system for more efficient data acquisition and interpretation, and (iii) demonstrating online digital twin model for real-time engineering analysis. The ultimate goal is that this scalable distributed monitoring system is used for large infrastructure monitoring projects such as bridges, tunnels, foundations, dams, levees, deep wells, and surface or buried pipelines in partnership with an industrial leader and US Army. The intellectual merit of this technology, coupled with data from other sensing and data analytics tools, is to significantly enhance the capability in predicting and managing large infrastructure's life expectancy by actively monitoring operational processes.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.

这种伙伴关系对创新 - 研究合作伙伴关系（PFI -RP）项目的更广泛的影响/商业潜力是显着提高预测和管理大型民用基础设施寿命的能力。 未来的基础架构系统需要智能和快速的传感器来评估其性能，以根据设计的参数和预测模型来评估其性能。 该项目将集成更智能的信息收集传感器，这些传感器将集中于安全，较低的生命周期成本以及新基础架构的污水策略调查需求。更广泛的含义将在于实现“智慧城市”的预防和未来城市管理的方法。这将通过使用该项目中开发的光纤传感技术积极监测操作条件来实现。 将提供培训课程，以培养基础设施工程领域的未来领导者。来自代表性不足的少数群体的学生将参加研究，并与工业合作伙伴组织紧密合作，将设计师，工程师，运营商和所有者聚集在一起。拟议的项目使单个低成本光纤电缆成千上万的应变仪，热电偶或加速度计。它利用了专利的分布式光纤传感系统，该系统在很长的距离内（5-10 km）提供了非常高的数据密度（每2厘米）。该系统主要基于其低价，高数据采集速度和处理后的工程数据的交付，主要与现有技术竞争。该项目将通过（i）为低成本，质量生产系统开发数字化硬件，（ii）集成基于云的数据处理系统，以进行更有效的数据获取和解释，以及（iii）在线数字TWIN模型用于实时工程分析。最终目标是，这种可扩展的分布式监控系统用于与工业领导者和美国陆军合作，将大型基础设施监测项目（例如桥梁，隧道，地基，水坝，深井，深处的水井，深处的水井，深处的水井，深处的水井以及地面或埋藏的管道）进行。该技术的智力优点，再加上其他传感和数据分析工具的数据，可以显着增强通过积极监控运营过程来预测和管理大型基础设施的预期寿命的能力。该奖项反映了NSF的法规使命，并被认为是通过基金会的智力优点和广泛的范围来评估的，并值得通过评估来进行评估。