Bioinspired Sensor Networks for Critical Infrastructure

Cornell University, Ithaca NY

Investigators

Abstract

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.