XSense2 - Nano-Tera 2016

8/17/2019 XSense2 - Nano-Tera 2016

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Lothar Thiele, Jan Beutel

Andreas Vieli

Alain Geiger

Hugo RaetzoChristofer Hierold, Cosmin

Computer EnginETH "uri#h

$h%si#al Geogra

Geodes% and $h"uri#h


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Why?


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Dev

elop

men

tof

earl y

warn

ing

systems

New scientic

knowledge abotgeophysicalprocesses

Wireless Sensor Network allos to .uantif% mounta

at diverse modalities and

pro'ides information for punderstanding and model

#an /e used for safety criapplications in an hostile


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2""#


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2""#


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2"$%


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Randa, 110 April 1234


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&ow?


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Camera


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Camera


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sensor

prepro#essing

data #leaning5 pro#essing

geoph%si#alpro#esses

#ommuni#ation

Camera


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sensor

prepro#essing



#ommuni#ation

Camera


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!he Science

- Sensing -


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-ensing mi#roseismi# and a#ousti#a#ti'ities

/ig data high energ% hig


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senso

r

prepro#essing


geophpro#e

#ommuni#ation

'rom !era !o Nano

Nano

!owards (ero )ower Sensing and


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!owards (ero )ower Sensing andDecision *aking

A#ousti#

Emission

• E'en

s

+opled mass amplier Detection by electmechanical trigge High onoff ratios (

operation 'oltages 7measured0

A design #om/ining 4masses ith ultra smnm6 has /een su/mitfa/ri#ation0

're,ency selectiveamplication 9up to:;26 at ero powere.pense has /eendemonstrated0(Patent applicationled)


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Stats

Idle state Triggered stateAE stimulus

Contact

stoppers

Spring

Mass

De

'lly encapslated devices ith ultra#lean -isurfa#es for reliasit#hing are being fabricated using the Epi-eal pro#ess at theStanford Nanofabrication 'acility 9-N(6 hosted /% the +i#ro-tru#tures 5 -ensors La/orator% 9de'i#es e:pe#ted /a#! June 123


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'tre - /pscaling

Additional masses areadded in the handle laof the -)< afer0

30;#m

• Sensitive

• axis Cross-section

E:isting de'i#e ith #oupledmasses in the de'i#e la%er ofthe -)< afer0

$ro#ess and design studiesan e:ample, su#h a design fun#tional su/strate la%ers

/aselineampli>#ation of 42


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!heScience- +ompting -


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sensor

prepro#essing



#ommuni#ation

Camera


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+hallenges

adaptive

low epredictable


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What all the others did 0


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Can we expect that this construction w

reliably and efficiently


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•Synchronos!ransmissions

•- a disrptive concept -


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'looding or broadcasting withsynchronos transmissions


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1ne node starts the ood by transmitting the mess


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3ll receivers relay the same message at the sa

Nodes blindly relay no e.plicit ro


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Nodes blindly relay4 no e.plicit ronetwork state


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6eslts

1rder of magnitde more reliable than !non proto#ols0

!ested ith netor!s of hundreds ofnodes on test/eds all o'er the orld0

'ormally veriable 9realtime, #onsensus, energ%60

&igh impact 9more than 8;2 #itations to papers so far60

7est paper aards0

)al +aspi 3ward for $h? thesis of +ar#o "immerling0

System +hallenges


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System +hallenges

adaptive

low epredictable

System +hallenges


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System +hallengespredictable

adaptive

low esleep well

operate efficiently

wae-!p "!icly

switc# gears "!icly

a$oid interference

Wi l S i )l tf


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Wireless Sensing )latform

Classic Architecture Event-Based Architecture

memory

interference

time-

interferencepower-

interference

BOLT

Wi l S i )l tf


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memory

interference

time-

interferencepower-

interference

BOLT

firewall

Wi l S i )l tf


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memory

interference

time-

interferencepower-

interference

BOLT

Event-Based Architecture D

Wi l S i )l tf


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memory

interference

time-

interferencepower-

interference

BOLT

Event-Based Architecture D

8vent 7ased System 3rchitectre


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8vent-7ased System 3rchitectre

Event,-ased Architecture

Sensor %nterface

&re-&rocessing

Wireless Comm!nication

32 sleep poer

7 3 s time s%n#hronization

"


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!he Science

- 3lgorithms -

+hallenges


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+hallenges

!owards real-time haard alerting

?ete#tion of mo'ements instead of stati# positions

High a##ura#% 9#m6 ith #ommodit%lo#ost L3 G$- sensors

Redu#e initialization time from minutesto se#onds

Stats


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Stats3pproach9

*ovement detection /% estimationof re#ei'er 'elo#it% from ?oppler o/ser'ations

to F satellites0

3chievements9

• lter and ostrategies0


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!he Science

- :eophysics -

'rom !era !o Nano


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senso

r

prepro#essing


geophpro#e

#ommuni#ation

'rom !era !o Nano

Nano

*ovements of Slopes in )ermafrost

J


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*ovements of Slopes in )ermafrost

:eophysical ;nterpretations9

?ete#t strong and rapid temporal 'ariations of mo'emen

Variations strongl% lin!ed to periodse'ents of high ateinput

inter de#eleration lin!ed to inter temperatures

J

Airgroundtemperature


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Can we make use of subsurface information fromicroseismics and acoustics for

process modeling and early warning

3costic 8mission )roling 8.perime


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101

103

105

M S / A E r a t e ( / d a y )

Seismometer (1-100 Hz)

Accelerometer (10-10 4 Hz)

AE CH1: Piezo R.45 (5-30 kHz)

AE CH2: Piezo R6a (35-80 kHz

Jul/15 Jul/20 Jul/25 Jul/30 Aug/04 Aug/09 Aug/14

-10

0

10

20

R o c k t e m p e r a t u r e ( ° C )

5 cm

20 cm

50 cm

Statistical analysis of signals' relations#ip (etween

fre"!encies and en$ironmental forces possi(le

3costic 8mission )roling 8.perime Colle#ting mi#roseismi#a#ousti# data from steep ro#!all

ide fre.uen#% range from 3 Hz to 82 !Hz

Continuousl% running sin#e -ept)#t 1234

Realtime data streaming

Novel +o-detection Strategy)erome *ailletta+, ani .r, %ngrid /eiweger'

Codetection of aco!stic emissions d!ring fail!

New perspecti$es for nat!ral #a+ard early wa

# i l / # tt 2013


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Novel +o detection Strategyeop#ysical /esearc# etters 2013

Cause: atten!ation of elast

propagating t#ro!g# t#e na

Effect:am(ig!ity in t#e intet#e magnit!de 4se$erity, o

of detection for e$ents awa

aco!stic sensor

Solution: 6 dense networena(les locali+ation of so!

determination of initial ene

eac# e$ent

Result: 7$ent co-detection

large fail!re e$ents T#eir f

occ!rrence is a prec!rsor f

recorded emissions of layered snow sample

1treach


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1treach

Wireless Sensor Networks in X-Sens


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Wireless Sensor Networks in X Sens.ield Site /atterhorn

Cracmeters

ST, sensor rods, t#ermistor c#ains

1 Meteo station

1 Networed camera, 1 8ig#-resol!tion camera

1 192 precision &S 4eica /S 1200 : &S on roc ridge 4slow deformations

: eop#ones 4;10 8+

1 %MS Seismic sensor system 4;100-1000 8+

1 !al-c#annel 6co!stic 7mission node 4;10 8+

.ield Site Dirruhorn01rabengufer

2: &S on composite landslides and on roc glaciers

5 &S as position reference stations

5 Simple temperat!re loggers per &S station

: Meteo stations 1 Networed camera, 2 8ig#-resol!tion cameras

.ield Site 2anda

W6N relay

2 Networed cameras

1 192 precision &S 4eica /S 1200

2 &S on rocfall

%ublic Access to Data 2epository

#ttp'99datapermasensec#

.ield Site %E2/3S

10 &S on composite landslides and onglaciers

.ield Site Saastal

2 &S on #anging glacier

1 &S as position reference station

1 8ig#-resol!tion camera

!echnology !ransfer and 1treach


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!echnology !ransfer and 1treach!ransfer of I-ense G$-sensors to other applications )86*1S 9$ermafrost +onitoring -itzerland6 +ontinos :)S )ilot

)rogram• 32: longterm monitoring sites operated in #olla/oration ith $ER+)-

&aard monitoring for athorities• +onitoring of destru#ti'e pro#esses on Breithorn, %sse -#hie,

LKngs#hnee and Grossgufer ith authorities and lo#al industr%

*lti-modal *onitoring of &anging :laciers• Ground/ased Radar, highresolution imaging and ireless G$- sensors

on a hanging gla#ier in Hoh-aas9ointl% ith BA(&, Canton V-, (un!VA, geoprae'ent6

'ast 'lowing :reenland 1tlet :lacier -iss -N( proe#t LthiVieli

)atent M+e#hani#al Transdu#er for the ?ete#tion of A#ousti#andor -eismi# -ignals

6!>N3 realtime G$- pro#essing 8ropean Navigation Satellite +ompetition

Swiss regional and 8S3 special prie to Tonio Gsell and "hengzhong -u

8!& )ioneer :rant 3pplication

+ar#o "immerling re#ei'es the)al +aspi *emorial Dissertation 3ward

Acknowledgeme


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8!& (rich

Computer Engineering and Netor!s La/

Geodes% and Geod%nami#s La/

+i#ro and Nanos%stems

/niversity of (rich?epartment of Geograph%

8)'<

?istri/uted


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Acoustic Sensor Installation

*aterial


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*ateriallogistics

XSense2 - Nano-Tera 2016

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