Keep It Physical,

Keep It Real

Steven GlaserCenter for Information Technology Research in the Interest of Society

UC Berkeley College of Engineering

Glaser@ce.berkeley.edu

25 Motes onDamaged sidewall

Dense Instrumentation of Full Scale Structure

- Performed through 12+ strong shakings- 100+ channels of acceleration data per test

30 Motes onGlue-lam beam

2003, Glaser@ce.berkeley.edu

Tokachi Port, Hokkaido

Blast-induced Liquefaction Test

2003, Glaser@ce.berkeley.edu

Instrument the Golden

Gate Bridge!

• Have a prototype structural health monitoring system up and running within a year•Culler, Fenves, Demmel, Glaser

Current Application:

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 timesof key activity

..without ever bothering you about design considerations, intended usage, faults, or constraints

From Culler

(Stevie wants to be 6 foot tall)

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

Keep It Physical,

Keep It Real

Current Projects

- Down-hole array

- FireBug

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 ngrms/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

Great Valley Sequencesandstone

Franciscan Formationmetamorphosed shale, sandstone

Hayward Fault

3 m

15 m

Colluvium3 -5 m

Alluvial depositssands, gravels,

silty clays

yagiantenna

solarcollector

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 arrayseismic monitoring systems

Glaser@ce.berkeley.edu

–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

COTS

COTS

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

• 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

Current accomplishments• The web/ database toolchain works well.

• The “Fireboard” hardware is past its fi rst iteration and appears to working well.

• Container design for field deployment has been prototyped.

• Personnel have been Type I I wildfi re certified f or controlled burns.

• Project has survived personnel turnover and intermittent participation well.

Top Bottom

• 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

Prof. Steven D. GlaserCivil EngineeringUniversity of California, Berkeleyglaser@ce.berkeley.edu512/642-1264

Thanks!

The Boss