1. Keep It Physical, Keep It Real Steven Glaser Center for Information Technology Research in the Interest of Society UC Berkeley College of Engineering Glaser@ce.berkeley.edu

2. 25 Motes on Damaged sidewall Dense Instrumentation of Full Scale Structure - Performed through 12+ strong shakings - 100+ channels of acceleration data per test 30 Motes on Glue-lam beam  2003, Glaser@ce.berkeley.edu

3. Tokachi Port, Hokkaido Blast-induced Liquefaction Test  2003, Glaser@ce.berkeley.edu

4. Instrument the Golden Gate Bridge! Have a prototype structural health monitoring system up and running within a year Culler, Fenves, Demmel, Glaser Current Application:

5. The Berkeley "Smart Dust" Concept Spread thousands of wireless sensor nodes casually over an arbitrary area of interest They self-organize into a network conveying arbitrary information from any point to any other at whatever bandwidth is demanded.....while operating at incredibly low energy usage (i.e, off most of the time) to run for years on small batteries and harvested energy..and being extremely responsive in times of key activity..without ever bothering you about design considerations, intended usage, faults, or constraints From Culler (Stevie wants to be 6 foot tall)

6. Achieving this dream requires a broad-based team approaching the pieces as part of a system Cohort: David Culler – computer science, electrical engineering Greg Fenves – structural engineering, computer science Roger Howe – electrical engineering, MEMS fabrication Al Pisano – mechanical engineering, MEMS Kris Pister – electrical engineering, smart dust Tim Sands – materials science, microfabrication Nick Sitar - geoengineering, geology Me – GeoEngineering, Philosophy, driller, vision thing Students: Laurie Baise: PhD – GeoEng; MS - Seismo; Prof. Tufts Chen Min: BS, MS - EE; PhD - Civil Systems JianYe Ching: MS, PhD – GeoEng; MS - EECS; Housner Fellow, CalTech Dom Galic: MS, Appl. Math; PhD - Civil Systems Jeff Moore: BS – Eng. Geol.; PhD – GeoEng Albert To – MS – geo; MS – seismo; PhD - GeoEng Ying Zhang: MS – Mat. Eng; MS – EE; PhD - Civil Systems Private Industry: Senera Inc. – remote structural prognostication Dust Inc. – microMotes INTEL Laboratory @ Berkeley Marathon Products – environmental recorders Shinkawa Sensor Tech. – rotating machinery health  2003, Glaser@ce.berkeley.edu

7. Keep It Physical, Keep It Real Current Projects - Down-hole array - FireBug

8. 6-D accelerometer arrays - MOTE as brains - 24 bit, low noise accel - 9 bit, high amplitude - rate gyros - orientation magnetometer - pH, pwp, temp integration of advanced technology accelerometers (30 ng rms /  Hz noise floor, 24-bit direct digital) integration of 3-D rate gyros, giving 6-DOF dynamic point measurements integration of solar power, improved batteries, GPS timing, and ethernet server at the Local Gateway fully dynamic networking, real- time reprogramming and peer-to- peer sensor fusion integration of magnetometer, pH, pore pressure, and tilt current 1-off price $4000 per 6-D station Local Gateway - LINUX machine - high-powered radio - Ethernet server - power source - array aggregator - GPS TERRASCOPE - 4-D Distributed Seismic Monitoring Network

9. 3-D accelerometer arrays - 24 bit, low noise - 9 bit, high amplitude - rate gyros - orientation magnetometer - Mote intelligence - pH, pwp, temp Optional custom- formed bladder for open holes Local Gateway - LINUX machine - high-powered radio - Ethernet server - power source - array aggregator - link to base server 70 m 35 m Cartoon of the vertical seismic array and SeisMote rf does not work well in soils, so we must use wires anyway Wires work well for transmitting power Relatively simple set of commands needed for thie experiment We know where the sensor nodes are, and they do not move much A few sensors in each hole Development and refinement of vertical array seismic monitoring systems  Glaser@ce.berkeley.edu

10. – 16-bit MCU with 14-bit A/Ds – Bank of progammible gaim opamps – 4 ~ 8 Mb memory – Power control – GUI interface any analog sensor any digital sensor Formatted output – LINUX machine – GPS timing – Power source – Rf link (high/low power) – Web server Create an "Instrumentation Processor" COTS

11. FireBug: 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) Raja Sengupta (Civil and Environmental Engineering)  2003, Glaser@ce.berkeley.edu

12. Drop GPS Motes - field networks capable of real-time distributed data evaluation and transmission Helicopter based real-time topographic and ground cover mapping GIS: real-time updating from multiple information streams Full data field coupled to real-time burn model Visualization and adaptive modeling of observed phenomena returned to in situ fire fighter

13. Top Bottom

14. Race/deadlocks still exist in sensor board driver code. Weather and air quality concerns limit controlled burn opportunities. We have to be able to move fast when necessary. “Uplink” details for remote deployment are still sketchy. Current FireBug Tasks

15. Prof. Steven D. Glaser Civil Engineering University of California, Berkeley glaser@ce.berkeley.edu 512/642-1264 Thanks! The Boss