Bioinspired Sensor Networks for Critical Infrastructure

适用于关键基础设施的仿生传感器网络

• 批准号: 0241456
• 负责人: Ephrahim Garcia
• 金额: --
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-15 至 2003-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0241456&HistoricalAwards=false
• 关键词: Bioinspired; Sensor; Networks; Critical; Infrastructure

This exploratory research project investigates the utilization of stochastic analyses methods on bioinspired networks of sensors in structures. This network will be able to interpret sensor signals that monitor substructures critical to overall stability and integrity. The bio-network will be developed at the nano, micro and meso scale and produce information about the structure and its enclosed environment in a hierarchical fashion. Additionally, these sensors could also monitor environmental factors, personnel mobility among other things. A stochastic analyses technique will be utilized to determine the probability of failure, where that failure occurs and to what extent the structure has failed. The methodology could also be used to determine random variation from the normal operating range of the signals, thereby developing a multifaceted picture of the structure state.

该探索性研究项目研究了结构中传感器的生物启发网络的随机分析方法的利用。该网络将能够解释监视对整体稳定性和完整性至关重要的子结构的传感器信号。 生物网络将以Nano，Micro和Meso量表开发，并以层次结构的方式生成有关结构及其封闭环境的信息。 此外，这些传感器还可以监视环境因素，人员流动性等。随机分析技术将被用来确定失败的概率，发生故障的何处以及结构在多大程度上失败。该方法还可以用于确定信号正常工作范围的随机变化，从而开发了结构状态的多方面图片。