NOSS: An Integrated Power Aware Sensor-Simulation Network System for Long-Term Performance Assessment of Concrete Infrastructures

NOSS：用于混凝土基础设施长期性能评估的集成功率感知传感器模拟网络系统

• 批准号: 0722023
• 负责人: Xiao-Chuan Cai
• 金额: $ 60万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0722023&HistoricalAwards=false
• 关键词: NOSS; Integrated; Power; Aware; Sensor

The performance of civil infrastructures plays an important role in maintaining thequality of life of the U.S. citizens as well as in the nation's defense systems. The project attacks severalcritical issues involved in the new generation of smart civil infrastructure system with built-in sensornetwork. Performance assessment of civil infrastructure is usually a long-term task (i.e. several years) thepower supply for the sensor network becomes a problem, especially for the embedded sensors instructures. The first focus is to provide a reliable energy harvesting method for the sensors and a powermanagement plan for the sensor network. For long-term performance assessment, processing the largeamount of data obtained from the sensor network is a difficult and important task, the second focus is howto configure the sensor network and assemble the measured data in a more meaningful way in order to usethe available information to predict future structural performance. To this end, this project is to developan integrated Power Aware Sensor-Simulation Network system for long-term performanceassessment of concrete infrastructures. The system consists of three subsystemsincluding an energy harvesting and power management system for the sensors, a combined sensor-basednumerical simulation system, and a massively parallel computing system for the numerical calculations.Built-in sensors have found their applications not only in civil, and aerospace structures, butalso in mechanical engineering and medical devices such as artificial hearts. Therefore, theresearch will have a great impact in many areas of science and technologies.

民用基础设施的性能在维持美国公民的生活质量以及国家国防系统中发挥着重要作用。该项目解决了具有内置传感器网络的新一代智能民用基础设施系统涉及的几个关键问题。民用基础设施的性能评估通常是一项长期的任务(即数年)，传感器网络的电源供应成为一个问题，特别是对于嵌入式传感器结构。第一个重点是为传感器提供可靠的能量采集方法和为传感器网络提供电源管理方案。对于长期性能评估来说，处理从传感器网络获得的大量数据是一项困难而重要的任务，第二个重点是如何配置传感器网络并以更有意义的方式组合测量数据，以便利用可用的信息来预测未来的结构性能。为此，本项目旨在开发一个集成的电能感知传感器-仿真网络系统，用于混凝土基础设施的长期性能评估。该系统由三个子系统组成，包括传感器的能量采集和能量管理系统、基于传感器的组合数值模拟系统和用于数值计算的大规模并行计算系统。内置传感器不仅在民用、航空航天结构中得到应用，而且在机械工程和人工心脏等医疗设备中也得到了应用。因此，这项研究将在许多科学技术领域产生重大影响。