Natural Hazard Mitigation

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Presentation transcript:

Natural Hazard Mitigation " Structure - anything built by people, from a dam built of earth or a pyramid of stone to a power station or an earth satellite." (Scott, 1993) Applications Science Steven Glaser glaser@ce.berkeley.edu

Consider the following scenario: Tiny self-contained sensor Motes are installed near critical structural points in a key building. Onboard intelligence discerns normal structural deterioration and meaningful damage. Sensors report the location and kinematics of damage during/after an extreme event, allowing rapid, accurate structural health determination. Public safety is assured as unseen structural damage is identified without costly and dangerous deconstruction. LASER link Radio link

- a "MOTE" Imagine an Sensing Platform intelligent self-networking asynchronous wireless adaptive dynamically reprogramable cheap small Sensing Platform - a "MOTE"

Imagine a dense array of Motes clustered around key structural elements. damage occurs locally, effects globally Suppose that during the normal life of the building the seismic response to ambient excitation is monitored by these 1000's of Motes too much data to send back to traditional server we want information, not data

Imagine that the self-assembled networks examine structural response amongst their topologies, identifying an optimum system characterization of the local structural state. computation is much more energy efficient than data transmission send back a few poles rather than terabytes of raw data institute algorithms that allow the computational burden to be shared amongst local processors

Imagine the multiple Mote networks as part of a global adaptive feedback system. sensor net GW 802-11 control net 20-ton chiller PC scada term UCB power monitor net telegraph MYSQL Browser a detailed constitutive model of the structure is initialized with the installation of the sensor webs the model is continuously updated by the constant feedback of local state the model instructs the Mote assemblage to re-configure in order to vary characterization granularity (self-scaling)

Imagine this same organic system applied to an infinite family of applications

In place today: Adaptive Real-Time Geoscience and Environmental Data Analysis, Modeling and Visualization   Nicholas Sitar (Civil and Environmental Engineering) George Brimhall (Earth and Planetary Science) Steven Glaser (Civil and Environmental Engineering) John Radke (Landscape Architecture and Environmental Planning/City and Regional Planning) Raja Sengupta (Civil and Environmental Engineering) $1.5 million from NSF ITR/IM GIS - real time updating from multiple information streams Adaptive digital field data acquisition/mapping GPS Mote - field networks capable of real time distributed data evaluation and transmission Visualization and adaptive modeling of observed phenomena Sychip 12 channel GPS ARM thumb MCU 1 Mb memory