1. 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

2. 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

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

4. 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

5. 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

6. 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)

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

8. 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