Author |
Project |
Purpose |
Platform |
Sensor Node |
Energy Harvesting |
Nodes |
Accel. |
Strain |
Displ./
Crack |
Inclin. |
Wind |
Temp. |
Humid. |
Light |
CO2 |
Veloc. |
Total Sensing Channels |
Maximum Sampling Frequency (Hz) |
Duration (days) |
In-network Processing |
Results |
Deployment Date |
Arms et al. 2004 |
Liberty bell |
Protection during bell move |
Agile-Link (MicroStrain) |
Acceleration, strain, displacement
(crack) |
|
3 |
3 |
1 |
2 |
|
|
|
|
|
|
|
6 |
1700 |
0.5 |
|
Protection during bell move |
October-03 |
Bennett et al. 2010 |
Prague Metro |
Monitor movement of tunnel
lining |
MICAz |
Crackwidth, Inclination,
temperature, humidity |
|
28 |
|
|
2 |
10 |
|
|
|
|
|
|
12 |
0.00555556 |
180 |
|
Monitor movement of tunnel lining |
September-08 |
Bennett et al. 2010 |
London Underground |
Monitor movement of tunnel
lining |
MICAz |
Crackwidth, Inclination,
temperature, humidity |
|
25 |
|
|
5 |
16 |
|
|
|
|
|
|
21 |
0.00555556 |
180 |
|
Monitor movement of tunnel lining |
July-08 |
Bennett et al. 1999 |
Highway |
Monitor fatigue damage in
pavements |
Hitachi H8/329 controller |
Strain, Temperature |
|
|
|
2 |
|
|
|
2 |
|
|
|
|
4 |
100 |
up to 7 months |
|
Monitor fatigue damage in
pavements |
March-98 |
Bischoff et al. 2009 |
Railway bridge (steel) |
Assess the bridge in order to
increase its axle load from 22.5 to 25 tons |
Tmote Sky |
Strain, waken up by accelerometer |
Solar panel |
8 |
|
8 |
|
|
|
8 |
8 |
|
|
|
24 |
100 |
7 |
Yes |
Assess the bridge in order to
increase its axle load from 22.5 to 25 tons |
July-07 |
Jang et al. 2010 |
Jindo bridge |
SHM system evaluation |
Imote2 |
Acceleration, strain, wind, light,
temperature |
Solar panel |
70 |
207 |
|
|
|
3 |
|
|
|
|
|
210 |
10 |
|
|
SHM system evaluation |
2008 |
Cho et al. 2010 |
Jindo bridge |
Mode shapes |
Imote2 |
Acceleration, strain, wind, light,
temperature |
Solar panel |
70 |
207 |
|
|
|
3 |
|
|
|
|
|
210 |
10 |
|
FDD, SSI Modal Analysis |
Mode shapes, cable tension forces |
2008 |
Kim et al. 2007 |
Golden Gate Bridge |
Test wireless sensor network
requiring multi-hop communication |
MicaZ |
Acceleration, temperature |
|
64 |
128 |
|
|
|
|
64 |
|
|
|
|
192 |
50 |
medium-term |
|
Modal analysis after central data
collection |
July-06 |
Kurata et al. 2010 |
New Carquinez Suspension Bridge |
Validate sensor performance,
validate FE model, modal analyses |
Narada |
Acceleration, wind, temperature |
Solar panel |
21 |
57 |
|
|
|
2 |
2 |
|
|
|
|
61 |
20 |
long-term |
|
Validate sensor performance,
validate FE model, modal analyses |
January-11 |
Lynch et al. 2006 |
Geumdang Bridge |
Wireless sensor prototype and
embedded computing validation |
WiMMS (Prototype) |
Acceleration |
|
14 |
14 |
|
|
|
|
|
|
|
|
|
14 |
70 |
short-term |
FFT, peak-picking |
Modal frequencies, operational
displacement shapes |
July-05 |
Meyer et al. 2010 |
Stork Bridge in Winterthur |
Validation of long-term field
test using wireless sensor network |
Tmote Sky |
Acceleration, temperature,
humidity |
|
6 |
6 |
|
|
|
|
|
|
|
|
|
6 |
100 |
long-term |
|
Validation of long-term field test
using wireless sensor network |
Autumn 2006 |
Pakzad et al. 2008 |
Golden Gate Bridge |
Test wireless sensor network
requiring multi-hop communication |
MicaZ |
Acceleration, temperature |
|
64 |
128 |
|
|
|
|
64 |
|
|
|
|
192 |
50 |
medium-term |
|
Modal analysis after central data
collection |
July-06 |
Whelan et al. 2010 |
Nine Wells Rail Bridge |
System identification,
operational modal analysis, calibrate FE model, analytical structural
evaluation, load response assessment |
Tmote Sky |
Acceleration |
|
30 |
30 |
|
|
|
|
|
|
|
|
|
30 |
256 |
|
|
System identification, operational
modal analysis, calibrate FE model, analytical structural evaluation, load
response assessment |
|
Whelan et al. 2009 |
Steel girder bridge |
Shm hardware/software
validation, modal analysis, strain profile induced by vehicular traffic |
Tmote Sky |
Acceleration, strain |
|
20 |
29 |
11 |
|
|
|
|
|
|
|
|
40 |
128 |
short-term |
|
Shm hardware/software validation,
modal analysis, strain profile induced by vehicular traffic |
|
Zonta et al. 2010 |
Aquila Tower |
Protect historic building,
evaluate long-term performance of SHM system |
3MATE! (TRETEC) |
Acceleration, deformation gauge
(fiber-optic), temperature, humidity, light |
|
16 |
3 |
|
2 |
|
|
11 |
|
|
|
|
16 |
200 |
long-term |
|
Protect historic building,
evaluate long-term performance of SHM system |
September-08 |
Ye et al. 2011 |
Overpass bridge |
Local and global modal analyses |
Imote2 |
Acceleration |
|
11 |
11 |
|
|
|
|
|
|
|
|
|
11 |
|
|
NExT/ERA/EMAC |
Local and global modal analyses |
|
Weng et al. 2008 |
Gi-Lu Cable-stayed bridge |
Test for health monitoring of
cable-stayed bridge, identify coupling effect of cable and deck |
WiMMS (Prototype) |
Velocity meter (Tokyo Sokushin
VSE-15) |
|
12 |
|
|
|
|
|
|
|
|
|
12 |
12 |
100 |
short-term |
|
Modal analysis and cable tension
force |
|
Lynch et al. 2010 |
New Carquinez Suspension Bridge |
Wireless system proof-of-concept |
Narada/Imote2 |
Acceleration |
|
30 |
14 |
|
|
|
|
|
|
|
|
|
14 |
|
long-term |
SSI Modal Analysis |
Wireless system proof-of-concept |
|
Hoult et al. 2010 |
Ferriby Road Bridge |
Evaluation of the potential of
wireless sensor network |
MicaZ |
Crack, inclination, temperature,
humidity |
Solar panel |
7 |
|
|
3 |
3 |
|
7 |
6 |
|
|
|
19 |
|
long-tern |
|
Crack growth, inclination of deck |
Apr-08 |
Lynch et al. 2003 |
Alamosa Canyon Bridge |
Wireless system proof-of-concept |
WiMMS (Prototype) |
Acceleration |
|
7 |
14 |
|
|
|
|
|
|
|
|
|
14 |
|
short-term |
Independent FFT |
Modal frequencies |
2003 |
Gallbreath et al. 2004 |
Ben Franklin Bridge |
Demonstration of wireless system
with remote programming |
Microstrain SG-Link |
Strain, Temperature |
|
10 |
|
10 |
|
|
|
10 |
|
|
|
|
20 |
|
medium-term |
|
Streaming real-time strain time
histories |
2004 |
Gattulli et al. 2013 |
Basilica S. Maria di Collemaggio |
MEMS accelerometers performance
analysis, WSN reliability evaluation, long term SHM, long term performance
and lifetime evaluation of a custom developed sensing platform |
Imote2 (Westmote will be added
in the future) |
Acceleration, (crack, inclination in the future) |
|
15 (8 in the future) |
45 |
|
|
|
|
15 |
15 |
|
|
|
75 |
400 |
long-term |
EFDD, SSI modal analysis |
Mode shapes, modal frequencies |
Jun-11 |
Liu et al. 2011 |
GreenOrbs |
Carbon absorbance measurements
in the forest, precise forestry and ecosystem management, forest microclimate
surveillance, forest fire monitoring, protocol design, implementation and
evaluation at large scale |
TelosB |
Temperature, humidity, light, CO2 |
Solar panel |
500+ |
|
|
|
|
|
500 |
500 |
500 |
30 |
|
|
1530 |
long-term |
Local log on sensor nodes,
discard duplicate packets |
RSSI and link quality vs.
environmental conditions, packet delivery and reception performance in the
wild, causes of packet drops on links and nodes |
Summer 2008 |
Liu et al. 2012 |
CitySee |
Carbon footprint measurements,
typical smart city applications (air quality, environment surveillance,
pollution detection, network measurement study of large scale wireless sensor
networks |
Various environmental sensor
nodes |
Temperature, humidity, light, CO2,
CO, particulate, SO2, water quality, parking lot occupancy |
Solar panel |
1200 |
|
|
|
|
|
1096 |
1096 |
|
100 |
|
|
2292 |
long-term |
Data aggregation, event-driven
data collection |
SNR, RSSI, and Transmission
ranges, interference characteristics, energy consumption and delay
measurement in a large-scale sensor network
, causes of packet losses
|
May-11 |
Zhang et
al. 2013 University of Maryland |
I-270/Middlebrook Bridge |
short-term field test to
calibrate FE model |
Imote 2 |
Acceleration |
|
3 |
9 |
|
|
|
|
|
|
|
|
|
9 |
|
2 |
|
Modal frequencies |
March 19th-20th, 2012 |
Christenson
et al. 2013 |
Gold Star Bridge |
long-term monitoring of hung
span |
Microstation |
Acceleration, strain |
Solar panel |
12 |
4 |
8 |
|
|
|
|
|
|
|
|
12 |
|
long-term |
|
Frequencies, hanger tension |
November 2006 - October 2007
(continuous) October 2007 - June 2010 (periodic) |
Zhang et
al. 2013 Nanjing University |
Xinghai Underground Square,
Suzhou Metro |
In-situ measurement and
assessment for vibration levels induced by metro train |
Imote 2 |
Acceleration |
|
2 |
1 |
|
|
|
|
|
|
|
|
|
1 |
280 |
short-term |
Embedded acceleration level
computing |
Vibration level distribution |
August-September 2012 |
Zhang et
al. 2013 Nanjing University |
Nanjing Yangtze River Tunnel |
In-situ measurement for tunnel
dynamical characteristics induced by vehicular traffic |
Imote 2 |
Acceleration |
|
3 |
9 |
|
|
|
|
|
|
|
|
|
9 |
|
short-term |
|
Time history and PSD of box
culverts |
2011, 2012 |
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