Bioinspired Sensor Networks for Critical Infrastructure

这个探索性的研究项目探讨了随机分析方法在生物启发的传感器结构网络中的应用。该网络将能够解释传感器信号，监测对整体稳定性和完整性至关重要的子结构。生物网络将在纳米、微观和中观尺度上发展，并以分层的方式产生有关结构及其封闭环境的信息。此外，这些传感器还可以监测环境因素、人员流动等。将使用随机分析技术来确定失效的概率，失效发生的位置以及结构失效的程度。该方法还可用于确定信号正常工作范围内的随机变化，从而形成结构状态的多面图。

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.