DATA ACQUISITION AND PROCESSING WITH WIRELESS SENSOR NETWORK FOR BRIDGE DAMAGE DETECTION SYSTEM
Bridge infrastructure is a vital infrastructure needed in the smooth running of the economy. Damaged bridges can hinder the flow of the country's economic movement. Bridge damage inspection efforts in Indonesia are currently still using manual inspection methods which are inefficient and req...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/56881 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Bridge infrastructure is a vital infrastructure needed in the smooth running of the
economy. Damaged bridges can hinder the flow of the country's economic
movement. Bridge damage inspection efforts in Indonesia are currently still using
manual inspection methods which are inefficient and require large amounts of time,
so a bridge damage detection system is needed. One of the solutions developed is
to use a Wireless Sensor Network (WSN). In the system, there are sensors that
acquire bridge data that is connected wirelessly. These sensors are needed as data
that is processed in determining the location of the damage. In this system, there
are two sensors used, namely the accelerometer sensor to measure the acceleration
of the bridge vibration and the piezoelectric sensor to measure the pressure of
passing vehicles. In carrying out their functions, these sensors build the WSN
subsystem for the accelerometer sensor and the Weigh-in Motion (WIM) subsystem
for the piezoelectric sensor. The bridge vibration acceleration data from several
sensors installed is processed at the sensor node to get the natural frequency of the
bridge before transmitting it to centralized processing. The passing vehicle
pressure data is used to activate the bridge's natural frequency measurement
system. The results of testing the implementation of this system show the ability to
acquire natural frequency data of the bridge but the error is high in the
measurement of the natural frequency of the bridge. In addition, the measurement
of vehicle pressure signals and the results of natural frequency measurements can
be transmitted to centralized processing in the form of voltage signals from the WIM
subsystem and wireless transmission from the WSN subsystem.
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