CPS: Medium: Self-Sustaining CPS for Structural Monitoring

千千万万个民族？S的桥梁结构有缺陷。本项目提出设计一套自持式、无线结构监测系统。基于新型低功耗Flash FPGA的硬件平台和相应的软件架构为CPS的设计提供了一种全新的方法。软多核平台将保证并行运行的软件模块具有专用的单线程软处理器核，通过在任何给定时间仅以观察/控制的物理现象所规定的最慢时钟速率运行所需的核，实现灵活的功率管理。由于桥梁往往会因风和动力荷载条件而发生振动，我们正在开发一种新型的基于振动的能量采集设备，该设备能够自动调整其共振响应，以捕获比当前技术所能捕获的更多的能量。此外，私人投资促进机构正在开发结构健康评估技术，包括对信号进行量化分析，以确定裂缝的类型、位置和大小。这项技术将在结构问题变得关键之前发现这些问题，可能会拯救人类的生命，避免延迟和广泛的维修。振动采集技术和软多核架构的影响将超越结构监测。专用于与物理世界交互的每个软件组件的单独软核将使CPS在节省电力的同时响应更快。教育计划的重点是通过招募这样的本科生参与研究，向代表不足的少数族裔伸出援手。为了便于传播我们的成果，在该项目下开发的所有硬件设计和软件都将是开源的。

Tens of thousands of the nation?s bridges are structurally deficient. This project proposes to design a self sustaining, wireless structural monitoring system. The novel low-power Flash FPGA-based hardware platform and the corresponding software architecture offer a radically new approach to CPS design. A soft multi-core platform where software modules that run in parallel will be guaranteed to have dedicated single-threaded soft processor cores enables flexible power management by running only the necessary cores at any given time at the slowest clock rate mandated by the observed/controlled physical phenomena. As bridges tend to vibrate due to wind and dynamic load conditions, we are developing a novel vibration-based energy harvesting device that is capable of automatically adjusting its resonant response in order to capture much more energy than the current techniques can. Moreover, the PIs are developing structural health assessment techniques involving quantitative analysis of signals to determine crack type, location and size. The technology will indicate structural problems before they become critical potentially saving human lives and averting late and extensive repairs. The impact of the vibration harvesting technique and the soft multi-core architecture will go beyond structural monitoring. A separate soft core dedicated to each software component that interacts with the physical world will make CPS more responsive while saving power at the same time. The education plan focuses on outreach toward underrepresented minorities by recruiting such undergraduates to participate in the research. To facilitate the dissemination of our results, all hardware designs and software developed under this project will be open source.