IRJET - Bridge Monitoring System using IoT

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 04 | Apr 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 754
Bridge Monitoring System using IoT
Gayana J R1, Jeevana N2, Lekhana V B3 , Nandan Gowda S U4 , Prof. Ramya S5
1,2,3,4Students, Dept. Of Computer Science and Engineering, Vidya Vikas Institute of Engineering and Technology,
Mysore, Karnataka, India
5Professor, Dept. Of Computer Science and Engineering, Vidya Vikas Institute of Engineering and Technology,
Mysore, Karnataka, India
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - Bridge monitoring system is significant tohealth
diagnosis of railway bridges. This paper proposed and
developed a novel architecture for large span bridge
monitoring. A 3-level distributed structure is adopted in the
monitoring system which includes central server, intelligent
acquisition node and local controller. Acquisition nodes are
located across the bridge. All the acquisition nodes are
managed by one local controller. Every acquisition node has8
channels which can sample displacement, acceleration and
strain of bridge. To get high precision data, a 10 bitsAnalog to
Digital converter is used. Compared to the traditionalmethod,
the proposed architecture has two features. First, the
acquisition node is a smart device based on powerful DSP
processor. Signals of field sensors are analyzed and real time
compressed in the acquisition node. Onlytheprocessingresults
are sent to local controller through IEEE802.11 wireless
network. This operation can relieve load of central server and
decrease demand of communication bandwidth. Second, 2G
wireless network is utilized to provide enough bandwidth for
real-time data transmission between local controller and
central server. The intelligent monitoring system has run on a
large span railway bridge for six months. Running results
show that the proposed system is stable and effective.
Key Words: Digital Image Processing (DIP), Acquisition
node (AN), 2G wireless network and A/D converter
1. INTRODUCTION
In this project an idea of bridge health monitoring
system using wireless is proposed. For short distance
(among sensors in the bridge) RF module is used aswireless
network, and GSM is used for long distance (between the
bridge and the management center) data communication.
This technology can be called MBM (Monitoring Based
Maintenance) thatenablesthebridgemaintenance engineers
monitor the condition of the bridge in real time. The sensors
installed on various parts of the bridge monitors the bend,
beam sustainability, weight of the Train etc. At any point of
time if any of these parameters cross their threshold value
the communication system informs the management center
giving an alarm for taking precautionary measures. The
complete parameters of the bridge are taken by an ARM
processor and sent to another module which is located in a
short distance. Here the communication established is using
RF module that uses wireless Transmitter and Receiver
circuitry. The receiver moduletakestheparametersfrom the
transmitter and sends a message withall theparameterstoa
database center. The communication established between
the intermediate module and the database center is using
GSM technology. Thesensoryinputsare processtorepresent
the condition of the bridge against seismic loads, loads etc.
1.1 Problem Statement
 The research community has been developing
Structural Health Monitoring (SHM) techniques to
aid in the ongoing bridge management efforts of
local bridge authorities.
 The current standard bridge inspection practice is
based on biannual visual inspections, which are
subjective by nature.
 The transition of the traditional SHM techniques
from the research community to the practical field
implementation still needs to overcome difficult
challenges due mainly to technical and economic
considerations.
1.2 Aim
Aim of our project is to develop an IoT-basedbridge
safety monitoring system which is composed of monitoring
devices installed in the bridge environment,communication
devices connecting the bridge monitoring devices and the
cloud based server, a dynamic database that stores bridge
condition data, cloud based server that calculates and
analyses data transmitted from the monitoring devices.This
system shall monitor and analyse in real time the condition
of a bridge and its environment, including the water levels
and other safety conditions.

2. EXISTING SYSTEM
Bridge Structural Health Monitoring (SHM) has been an
intense research area for some time. Traditional, direct
approaches are to collect acceleration signals by installing
sensors on a bridge. The drawback ofsuchdirectapproaches
is that they require a sophisticated and expensive electronic
infrastructure with installation, maintenance and power
support. Moreover, although it is easy to get a large number
of data samples, it is expensive to label them, which involves
physical inspection of the bridge and determining its health;
thus, very few data samples are actually collected. This real-
world constraint turns the indirect bridge SHM into a semi-
supervised classification problem.
2.1 Limitations of Existing System
 Fails to collect data or monitor on-site conditions in
real time.
 Data collection through visual assessmentsoruseof
large size electronic equipment has higher cost or
higher power consumption. This often results in
inaccurate data.
 They require a sophisticated and expensive
electronic infrastructure with installation,
maintenance and power support.
 It also involves physical inspectionofthe bridgeand
determining its health.
 Very few data samples are collected.
3. PROPOSED SYSTEM
The system sends real-time monitored data to cloud server
as well as to system server for backup purpose. There is a
login interface using which user or the administrator can
login to system. The sensors installed on various partsofthe
bridge monitors their respective parameters. Crossing their
threshold value, the communication system informs the
management center giving an alarm. The complete
parameters of the bridge are taken by a PIC microcontroller
and sent to user control room. ZigBee is used for
communication. Bridge overflow is detected using Water
Level Sensors. Crack detection is done using Image
Processing and intimated to the concerned authority if the
cracks diameter is found to be more than the specified
threshold and take actions accordingly. Seismic sensors are
also used to record any ground motion. Also, the IR sensor
detects the vehicles that enter the bridge and keeps count of
it.
4. METHODOLOGY
4.1 Different sensors used
 Seismic sensor:
It is an instrument used to measure the ground motion
when it is shaken by a perturbation. The seismic waves are
measured byseismometers whicharesensorsconvertingthe
acquired data into electrical voltage
 Ultrasonic level sensor:
It is used to measure water levels from a bridge by sending
out sound waves. It measures the time taken for the echo to
hit the target and return to the sensor
 IR sensor:
It keeps count of the vehicles that enter the bridge. If the
count of the vehicle increases the threshold then the gate is
closed and the gate is opened once the vehicles areoutofthe
bridge by performing increment and decrement operations
 MEMS sensor:
Micro-Electro-Mechanical-Systems form the heart of
network nodes. Sensing of moisture,temperature,strain and
other data continuously can be achieved usingthesesensors
 ZigBee:
It is used as wireless network for short distance data
communication among the various sensors used in the
bridge
 LCD:
It displays the condition of the bridgeconstantly.Itiseasyto
interface with a micro-controller because of an embedded
controller
4.2 Digital Image Processing(DIP)
Images refers to two-dimensional intensity function f(x,y),
where x and y denotes spatial coordinates and the value of f
at any point (x,y) is proportional to the brightness of the
image at that point.
A digital image is a representation of two-dimensional
image as a finite set of digital values, called picture elements
or pixels.
Digital image processing focuses on two major tasks:
1. Improvement of pictorial information for human
interpretation.
2. Processing of image data for storage, transmission
and representation for autonomous mission
perception.
There are mainly three levels of processingimagesasshown
in below figure:

Fig-1 : Digital image processing
5. BLOCK DIAGRAM
6. LITERATURE SURVEY
 Paper 1:
“Development of an IoT-based Bridge Safety
Monitoring System” by Jin-LianLee2, Yaw-YauanTyan3,
Ming-Hui Wen1, Yun-Wu Wu2
Year of publication: 2017 IEEE International
Conference.
Methodologyused:DevelopedusingZigBeetechnology.
(1) Monitoring devices installed in the bridge
environment.
(2) Communication devices connecting the bridge
monitoring devices and the cloud-based server.
(3) A dynamic database that stores bridgecondition
data.
(4) A cloud-based server that calculates and
analyses data transmitted from the monitoring devices
Merits:
Helps in health monitoring of bridges
Demerits:
Just deals with health monitoring of bridges and
does not deal with load management on the bridge.
 Paper 2:
“A Continuous Water-Level Sensor Based on Load
Cell and Floating Pipe” by Sheng-Wei Wang; Chen-Chia
Chen; Chieh-Ming Wu; Chun-Ming Huang
Year of publication: IEEE International Conference
Methodology used:
It has a water level sensor incorporated with a load
cell and a floating body which provides an accurate
water level measurement system.
Merits:
Avoids accidents due to overflow of water on
bridges
Demerits:
Just detect water level and heavy vehicles.
 Paper 3:
“Real Time Wireless Monitoring and Control of
Water Systems using ZigBee” by Saima Maqbool1,Nidhi
Chandra
Year of publication: 2013 IEEE International
Conference on Digital Object Identifier.
Methodology used:
Monitor the water level with the help of water level
sensors, ZigBee 802.15.4, 74HC14 inverter and GSM
technology. It can also be used to remotely monitor the
flood areas wirelessly and information can be sent.

Merits:
This approach would help in reducing the water
overflow
Demerits:
Does not include any crack detection technologies
HARDWARE REQUIREMENTS
 Vibration sensor
 Flex sensor
 Load cells
 IR sensors
 Automated gating system with Stepper motor
 ARM (Advanced RISC Machine) processor
 Voltage regulator for power supply
 ARM (Advanced RISC Machine) processor
 RF Module
 GSM Module
 LCD display
SOFTWARE REQUIREMENTS
 Kiel Compiler
 Embedded C
 Flash Magic
 Even in developed nations like USA, it has been
found that more than one out of every four bridges
are structurally deficient
 This IOT technology could avert the kind of bridge
collapse that killed 13 and injured 145 along
Minneapolis on Aug. 1, 2007 at one-hundredth the
cost of current wired systems
 This system can help in monitoring the bridge in an
efficient, cost effective and reliable manner
 The immediacy, low cost, low energy and compact
size add up to a revolution in bridge safety
monitoring, providing a heightened level of early-
warning capability
REFERENCES
1. “Highway bridge assessment using adaptive real
time wireless sensor network” IEEE 2009
2. Microcontroller Muhammad Ali Mazadi book
3. www.microdiditaled.com
4. www.8052.com
5. www.keil.com
6. www.fsinc.com
7. http://developer.intel.com/design/mcs51/doc_mcs51.htm
7. CONCLUSIONS

IRJET - Bridge Monitoring System using IoT

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