Dec. 2005 Field test on RT11 bridge in Potsdam,
NY

Current test is one of the many tests of WISAN sensor nodes
performed in the field conditions.
The tasks for this test included:
- Testing of the chosen MEMS acceleration sensors and signal conditioning
circuitry
- Establishing vibration energy levels at various locations
- Establishing natural frequencies of a girder on RT 11 bridge
- Testing of the time synchronization between sensor nodes
The WISAN project is funded by ,New
York State Energy Research and Development Authority Transportation
Research Board of the National Academies and
industry partners, who's support we gratefully acknowledge. Test setup and preparation of WISAN nodes
Each sensor node consisted of a low-noise MEMS accelerometer, gain
and offset correction circuitry, 4th order anti-aliasing filter with
cutoff frequency of 30Hz and a WISAN sensor node (Figure 1-2). The whole
assembly was packaged into an ABS plastic box. The battery pack was
attached to the lid. A key switch allows turning the power on/off without
opening the box. The box is mounted to the bridge by the means of Neodymium
Iron Boron (NdFeB) magnets.

Figure 1. Sensor box Figure
2. Keyed power switch and magnetic mounting to the bridge
Data from the sensors were wirelessly sent to the coordinator modules
attached to a notebook PC via USB interface (Figure 3). The Labview
interface allowed visualization of the sensor data and storage on the
hard drive. Responsibilities of the coordinator node include control
over the network, including ensuring reliable data delivery, issuing
command to the sensor nodes and receiving data from the sensor nodes,
and maintaining global time synchronization in the nodes. The coordinator
node was powered off the USB interface.

Figure 3. Coordinator attached to a notebook
Acquisition of vibration data was performed in two basic configurations:
Test 1. Four sensors were placed on girder with approximately
12 ft between the sensors (Figure 4). The closest to the support is
identified by number 1000 in the following figures. The sensor closest
to the mid span of the girder had the number 1003.
Test 2. Two sensors were placed side-by-side at two
different locations on the girder. Sensors 1003 and 1002 were placed
together at the previous location of sensor 1002, sensors 1000 and 1001
were placed at the previous location of sensor 1001.

Figure 4. Location of sensors on the bridge
Test 1. Acquisition of vibration data
Test 1 pursued the first three goals of the experiment.
First, verify the performance of the MEMS acceleration sensor and related
signal conditioning circuitry on the data acquired from the real bridge.
The MEMS accelerometer sensor has been tested in the laboratory conditions
but field performance has not been evaluated so far. The sensitivity
of the accelerometer was set to be ±35mg by the adjustable gain
circuitry. The constant offset generated by gravity was compensated
the same circuit.
Second, establish vibration levels available at different locations
of the bridge, and specifically look at the difference between vibration
levels at supports vs. vibration levels close to the mid span. The vibration
levels are important indicator of how much energy can potentially be
harvested from the bridge at various locations.
Third, establish natural frequencies of the bridge which is important
for future damage detection experiments as well as for design of energy
harvesting devices that will target the frequencies with the highest
energy content.
After initial installation of sensors the data collection procedure
consisted of the following steps:
- the coordinator node and the sensors were powered up
- the offset compensation circuit on the sensor was adjusted to produce
a steady state reading around the midrange, compensating for slanted
surface of the girder's flange
- the sensors were configured via the wireless interface to acquired
data at 100Hz, ADC turned on, sensor turned on, time synchronized between
the nodes
- vibration data was acquired several times for the period of time between
1 and 5 minutes
The following Figures illustrate the data from one of the experiments.
Figure 5 shows the time series from each of the sensors. As it can be
seen from the Figure, the location at support is experiencing little
excitation by passing traffic and amplitude of vibration decays approaching
the supports. Figure 6 shows frequency spectra of the girder vibration.
All sensors except the support-mounted device show the same major harmonics
reflecting the natural frequencies of the bridge.

Figure 5. Time series data from 4 sensors.

Figure 6. Frequency spectra of the sensor data.
Test 2. Verification of sensor repeatability and time synchronization
The goal of test 2 was to prove repeatability of sensor readings acquired
by multiple sensors at the same location. A part of test was verification
of global time synchronization between sensors. Each sensor is essentially
an independent device sending data to the coordinator module. Time synchronization
is essential for reliable operation of many damage detection algorithms.
Figure 7 shows the time series data acquired for around 90 seconds from
sensors 1002 and 1003 placed at the same location. Visually the both
sensors are providing virtually identical data. Figure 8 provides an
overplot of one waveform on top of another, showing that the two series
are virtually identical except for some random noise. To check the synchronization
of data in time Figure 9 a short piece of the waveform is zoomed in
on Figure 8. Except for a small offset which is created by minor difference
in sensor inclination relative to gravity, two waveforms are identical
and track one another sample-by-sample. Figure 10 illustrates identical
frequency spectra produced by both sensors.
Figure 7. Data from sensors installed at the same location

Figure 8. Overplot of the sensor data

Figure 9. Time series data from sensors 1003 and 1002.

Figure 10. Overplot of the frequency spectra from sensors 1003
and 1002.
Conclusions
The current test has shown reliable data delivery by multiple networked
WISAN sensors in field environment, established some baseline values
for the energy levels available for harvesting from the bridge and proved
time synchronization between sensor nodes in a WISAN network.
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