glacsweb project learning and tuning results environmental sensor network challenges
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Using sensor networks to explore the subglacial environment Jane K. Hart Geography and Environment University of Southampton. Glacsweb project Learning and tuning Results Environmental Sensor Network challenges. Design build. Deploy learn. Glacsweb aims. study glacier dynamics - PowerPoint PPT PresentationTRANSCRIPT
Using sensor Using sensor networks to networks to explore the explore the subglacial subglacial
environmentenvironment
Jane K. HartGeography and EnvironmentUniversity of Southampton
• Glacsweb project
• Learning and tuning
• Results
• Environmental Sensor Network challenges
Design
build
Deploy
learn
Glacsweb aims
• study glacier dynamics
• sensor network research
• produce generic components and expertise useful in other environments
Engineering Challenges
• Probes must be small and reliable• Robust Communications• Adaptive behaviour• Low power for longevity• Live system for experiments and data access
Supraglacial data Subglacial data
GLACSWEB:Understand the
role of the subglacial bed in glacier dynamics
Site locations• Resting on deformable sediments• GSM phone & local broadband• Good access! • Briksdalsbreen active advance (and
retreat!)
• Skalafellsjökull potential for up to 300m deep analysis.
Briksdalsbreen
Skalafellsjökull
Field site 03 Field site 03 (65m)(65m)
Field sites Field sites 04, 05 & 0604, 05 & 06
(60m),(50m)&(40m)(60m),(50m)&(40m)
System Overview
Base Station
Glacier
SedimentSensor network server
Ref station
Southampton
cloud
geophones
Probes
PC
WiFi
WiFi
Probes
• Polyester case• 433MHz, 173MHz, 151MHz
Radio• Sensors: Temp, Press, Strain,
Resistance, Tilt, Volts• 30 installed in 2003-2008
2004/5
2006
2008
2011
Sensor data buffering
Probes store their data until they manage a connection
Base Station
Ice
Sediment
DD
Base Station
Measure Weather, box tilt,
battery Volts
Radio links gateway and probes
DGPS rover
Ubuntu Linux
ARM CPU
wind & solar power
geophones
Uses 1.4W when on, negligible in Sleep mode
Base station architectureGPS
(Legacy-H)
GSM(Maestro 20)Gumstix
400MHz ARM
Temp/Hum sensor
Wind power12V Batteries
Wired probe
...
GumsenseMSP430
regulatorSolar power
CF storage
Switching
Gumstix runs Linux
MSP430
sensor interfaces
Reference Station
• Mains power in summer
• Mobile Phone GPRS• Records dGPS data• sends data to farm in
valley 15km away
Results• 2003/2004 • 14 probe days
• 2004/2005 • 859 probe days
• 2005/2006 • 1255 probe days
• 2008/10• 1205 probe days
Unique results
• High water pressure events
• Quantification of tilt
• Grain behaviour, rheology and water content
• Till temperatures
• Stick-slip events
Water pressureBriksdalsbreen
Autumn
Spring
Winter
Summer
SkalafellsjökullSkalafellsjökull
Water pressure high throughout the year
Series of short term events
-Lake
-Coarse grained till
Briksdalsbreen
-Steep bedrock
-Fine grained till
SkalafellsjökullSkalafellsjökull
-15.0000
-10.0000
-5.0000
0.0000
5.0000
10.0000
15.0000
20.0000
25.0000
30.0000
8 8 8 8 9 9 9 10 10 10 11 11 11 12 12 12 1 1 1 2 2 2 3 3 3 4 4 4 5 5 5 6 6 6 7 7 7
-60
-40
-20
0
20
40
60
80
100
120
2° / week0.6° / week
3.5° / week
4.2 ° / week y direction
Briksdalsbreen
Rotation
• Two models for clast behaviour in deforming layer – Active rotation (Jeffrey, 1923; Glen et al., 1957; Hart,
1994)
– Stable position (March, 1932; Hooyer & Iverson, 2000)
SkalafellsjökullSkalafellsjökull
-When air temp rise above 2.5o
-wp fall, tilt changes
-This generates high melt-water, allows glacier to ‘slip’
-Afterwards, wp slowly builds up ‘stick’
05
101520
DOY 2005-6
m w
. e.
00.20.40.60.8
kg/k
g
water pressure (m w.e.) water content (kg/kg)
Grain behaviour, rheology and water content High water pressure and water content
-0.15
-0.05
0.05
0.15
DOY 2005-6
mic
rost
rain
s
case strain (microstrains)
Briksdalsbreen
• Grain arrangement as a result of shearing.
• Linear viscous behaviour
after a critical yield stress of 35 kPa
• Till Viscosity (Pa s) 3.6 -7.3 x109
• Till discharge per 1m3 section per year (m3 a-1) 1.3-5.6
High water pressure/weak till
05
101520
DOY 2005-6
m w
. e.
00.20.40.60.8
kg/k
g
water pressure (m w.e.) water content (kg/kg)
-0.15
-0.05
0.05
0.15
DOY 2005-6
mic
rost
rain
s
case strain (microstrains)
Briksdalsbreen
Low water content/strong till
• Stick-slip events directly transmitted via the grain structure through a relatively strong till
0
0.02
0.04
0.06
0.08
0.1
21922
623
324
024
725
426
126
827
528
228
929
630
331
031
732
433
133
834
535
235
9 1 81522293643505764717885929910611
315
012
713
414
114
815
516
216
917
618
319
019
720
424
221
8
Till Temperatures
05
101520
21522
924
325
727
128
529
931
332
734
135
5 4 18 32 46 60 74 88 102
11613
014
415
817
218
620
021
4
DOY 2005-6
m w
. e.
00.20.40.60.8
kg/k
g
water pressure (m w.e.) water content (kg/kg)
-0.15
-0.05
0.05
0.15
215
229
243
257
271
285
299
313
327
341
355 4 18 32 46 60 74 88 10
211
613
014
415
817
218
620
021
4
DOY 2005-6
mic
rost
rain
s
case strain (microstrains)
High water pressures
Low till temperatures
MELTWATER
0
0.02
0.04
0.06
0.08
0.1
21922
623
324
024
725
426
126
827
528
228
929
630
331
031
732
433
133
834
535
235
9 1 81522293643505764717885929910611
315
012
713
414
114
815
516
216
917
618
319
019
720
424
221
8
Till Temperatures
05
101520
21522
924
325
727
128
529
931
332
734
135
5 4 18 32 46 60 74 88 102
11613
014
415
817
218
620
021
4
DOY 2005-6
m w
. e.
00.20.40.60.8
kg/k
g
water pressure (m w.e.) water content (kg/kg)
-0.15
-0.05
0.05
0.15
215
229
243
257
271
285
299
313
327
341
355 4 18 32 46 60 74 88 10
211
613
014
415
817
218
620
021
4
DOY 2005-6
mic
rost
rain
s
case strain (microstrains)
Low and Intermediate water pressure
High till temperatures
‘Flash’ temperatures
• This temperature increases can be accounted for using the ‘flash’ temperature model (Bestmann et al., 2006; Archard, 1958)
Conclusions
• Designed, tested and deployed different probe versions
• Experience in the problems of ESN communications, especially in a glacial environment
• Investigate subglacial processes and stick-slip motion, e.g. water pressure, clast rotation and till temperature.
Challenges for Environmental Sensor Networks
• Power Management • Standardisation• Low cost • Integrating and analysing
large data sets • Development of new
sensors (particularly) biosensors, sensor proxies and envinodes
Power ConsumptionProbes
• 3.6 V Lithium Thionyl Chloride Cells
– 6AH worth of energy
• 4µW in sleep mode
• 370mW in receive mode
• 470mW in transmit mode
• Life aprox. 10 years!!
Base Station
• Powered with lead-acid gel batteries
• 96AH worth of energy
• 120mW in Bitsy’s sleep mode
• 50mW in weather station sleep mode
• Powered up daily for a maximum of 15 min
• Approximate daily consumption 5WH
• Estimated battery life is 230 days
Base 2008
• 36Ah
• 25µW
• maximum of 3 min
• Runs until damaged
Base station battery voltsBase Station Battery Voltage
10
11
12
13
14
16/1
0/05
23/1
0/05
30/1
0/05
06/1
1/05
13/1
1/05
20/1
1/05
27/1
1/05
04/1
2/05
11/1
2/05
18/1
2/05
25/1
2/05
01/0
1/06
08/0
1/06
15/0
1/06
22/0
1/06
29/0
1/06
05/0
2/06
12/0
2/06
19/0
2/06
26/0
2/06
05/0
3/06
12/0
3/06
Date
Vo
lts
Probe Radio link quality based on retry logging
0
10
20
30
40
50
60
70
80
90
100
08 10 10 11 11 11 11 12 12 03 03 03 03 03 04 04 04 05 05 05 05 08 09 09 09 10 10 11 11 11 12 01
Month
Q
2004 2005