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@ IJTSRD | Available Online @ www.ijtsrd.com
ISSN No: 2456
International
Research
Pontem Monitoring using IoT
R. Dhivya Devi
Department of Electronics and Communication
KPR Institute of Engineering and Technology, Arasur, Coimbatore, Tamil
ABSTRACT
In recent years, many of the bridges are monitored
using non-destructive testing methods. These methods
are used for checking the structural
wreckage, strength of the bridges. To reduce the
human losses, economic losses, protect the strength
and structure of bridge we are introducing a smart
bridge monitoring using sensors where it gives high
and low values depending upon the problem oc
in the bridge. Now a day we are in hike of power
supply, so we are using Wireless Sensor Networks
(WSN) technology for regular monitoring of the
bridge which consumes less power with accurate
values. This project describes the real time working
and getting real time values. Outcome of the project is
to bring a product based module.
Keywords: WSN; SHM; Nodes; Methodology;
1. INTRODUCTION:
Health is an important issue not only for human
beings, but also for civil infrastructures. Bridge
collapses often result in a large number of casualties,
as well as negative social and economic
consequences, as was seen in the I
collapse in Minneapolis, MN, in2007. Structural
health monitoring (SHM) of civil infrastructures can
mitigate problems. The monitoring system can
estimate the bridge's various physical states. To
determine structural performance and find possible
damage locations. Cable tension force, one of the
most important integrity measures for cable
bridges, is estimated automatically using a vibration
based method. We also could assess deck
interaction, which may cause dynamic instability of
@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 3 | Mar-Apr 2018
ISSN No: 2456 - 6470 | www.ijtsrd.com | Volume
International Journal of Trend in Scientific
Research and Development (IJTSRD)
International Open Access Journal
Pontem Monitoring using IoT
Dhivya Devi, S. Dinesh, S. Gowri Shankar, K. Ravi Teja
Department of Electronics and Communication Engineering
Engineering and Technology, Arasur, Coimbatore, Tamil Nadu
In recent years, many of the bridges are monitored
destructive testing methods. These methods
are used for checking the structural damage,
wreckage, strength of the bridges. To reduce the
human losses, economic losses, protect the strength
and structure of bridge we are introducing a smart
bridge monitoring using sensors where it gives high
and low values depending upon the problem occurred
in the bridge. Now a day we are in hike of power
supply, so we are using Wireless Sensor Networks
(WSN) technology for regular monitoring of the
bridge which consumes less power with accurate
values. This project describes the real time working
getting real time values. Outcome of the project is
WSN; SHM; Nodes; Methodology;
Health is an important issue not only for human
beings, but also for civil infrastructures. Bridge
collapses often result in a large number of casualties,
as well as negative social and economic
consequences, as was seen in the I-35W bridge
neapolis, MN, in2007. Structural
health monitoring (SHM) of civil infrastructures can
mitigate problems. The monitoring system can
estimate the bridge's various physical states. To
determine structural performance and find possible
tension force, one of the
most important integrity measures for cable-stayed
bridges, is estimated automatically using a vibration-
based method. We also could assess deck-cable
interaction, which may cause dynamic instability of
the bridge. Aerodynamic and aero elastic properties of
bridges are estimated based on synchronized wind and
acceleration data. The measured data from the
wireless monitoring system enables comprehensive
assessment of the bridge's health.
2. WIRELESS NETWORKS:
Wireless network is drastically evolved in the present
century. As the wired connections are complicated in
case of a large network, wireless communications are
preferred in many areas. Thus in our project Wireless
communication plays a major role in transferring the
sensed data values of the bridge to the cloud storage.
In order to store the data in cloud we are designing a
web page using PHP web language. Using this
webpage, can be opened across the globe by
providing a separate ip address.
3. WSN TECHNOLOGY:
Wireless sensor networks (WSN), sometimes called
wireless sensor and actuator networks (WSAN), are
spatially distributed autonomous sensors to monitor
physical or environmental conditions, such as
temperature, sound, pressure, etc. and to cooperatively
pass their data through the network to a main location.
The more modern networks are bi
enabling control of sensor activity. The development
of wireless sensor networks was motivated by military
applications such as battlefield surveillance; today
such networks are used in many industrial and
consumer applications, such as industrial process
monitoring and control, machine health monitoring,
etc.
Apr 2018 Page: 1831
6470 | www.ijtsrd.com | Volume - 2 | Issue – 3
Scientific
(IJTSRD)
International Open Access Journal
Nadu, India
and aero elastic properties of
bridges are estimated based on synchronized wind and
acceleration data. The measured data from the
wireless monitoring system enables comprehensive
assessment of the bridge's health.
WIRELESS NETWORKS:
astically evolved in the present
century. As the wired connections are complicated in
case of a large network, wireless communications are
preferred in many areas. Thus in our project Wireless
communication plays a major role in transferring the
a values of the bridge to the cloud storage.
In order to store the data in cloud we are designing a
web page using PHP web language. Using this
opened across the globe by
providing a separate ip address.
networks (WSN), sometimes called
wireless sensor and actuator networks (WSAN), are
spatially distributed autonomous sensors to monitor
physical or environmental conditions, such as
temperature, sound, pressure, etc. and to cooperatively
ough the network to a main location.
The more modern networks are bi-directional, also
enabling control of sensor activity. The development
of wireless sensor networks was motivated by military
applications such as battlefield surveillance; today
orks are used in many industrial and
consumer applications, such as industrial process
monitoring and control, machine health monitoring,
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
@ IJTSRD | Available Online @ www.ijtsrd.com
It is built of "nodes” from a few to several hundreds
or even thousands, where each node is connected to
one sensor.
3.1 Each such sensor network node has typically
several parts:
1. A radio transceiver with an internal antenna or
connection to an external antenna
2. A microcontroller
3. An electronic circuit for interfacing with the
sensors and an energy source
The cost of sensor nodes is similarly variable, ranging
from a few to hundreds of dollars, depending on the
complexity of the individual sensor nodes. Size and
cost constraints on sensor nodes result in
corresponding constraints on resources such as
energy, memory, computational speed and
communications bandwidth. The topology of the
WSNs can vary from a simple star network to an[1]
advanced multi-hop wireless mesh network. The
propagation technique between the hops of the
network can be routing or flooding.
If a centralized architecture is used in a sensor
network and the central node fails, then the entire
network will collapse, however the reliability of the
sensor network can be increased by using distributed
control architecture. Distributed control is used in
WSNs for the following reasons:
1. Sensor nodes are prone to failure,
2. for better collection of data,
3. To provide nodes with backup in case of failure of
the central node.
There is also no centralized body to allocate the
resources and they have to be self-organized.
Area monitoring is a common application of WSNs.
In area monitoring, the WSN is deployed over a
region where some phenomenon is to be monitored
Fig 1.1 WSN Network
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 3 | Mar-Apr 2018
It is built of "nodes” from a few to several hundreds
or even thousands, where each node is connected to
3.1 Each such sensor network node has typically
A radio transceiver with an internal antenna or
An electronic circuit for interfacing with the
sensor nodes is similarly variable, ranging
from a few to hundreds of dollars, depending on the
of the individual sensor nodes. Size and
cost constraints on sensor nodes result in
corresponding constraints on resources such as
computational speed and
communications bandwidth. The topology of the
WSNs can vary from a simple star network to an[1]
hop wireless mesh network. The
propagation technique between the hops of the
ntralized architecture is used in a sensor
network and the central node fails, then the entire
network will collapse, however the reliability of the
sensor network can be increased by using distributed
control architecture. Distributed control is used in
To provide nodes with backup in case of failure of
There is also no centralized body to allocate the
nized.
Area monitoring is a common application of WSNs.
In area monitoring, the WSN is deployed over a
region where some phenomenon is to be monitored.
The wireless sensing platform was developed to
address real-time, lossless acquis
vibration, strain, and temperature measurements with
a specific emphasis on highway bridge monitoring.
However, as evidenced by the open architecture of the
sensor interface and flexibility of the embedded
software, the platform is capa
variety of wireless applications utilizing a wide range
of both analog and digital sensors. Consequent to the
far reaching application, the requirements have
chosen to refer to the system design as Wireless
Sensor Solution, or WSS.
4. TESTING OF LARGE STRUCTURES:
Some types of destructive testing:
1. Stress tests
2. Crash tests
3. Hardness tests
4. Metallographic tests
Destructive[2] testing is generally most suitable and
economic for mass produced objects, as the cost of
destroying a small number of pieces is negligible. The
samples are put under different loads and stress. That
way we can analyze in which point your material
eventually gives up and cracks. The results gained are
then compared to regulations and/or quality
guidelines. Destructive tests are best when used
together with our non-destructive methods: this
combination gives the best information on materials
and welds. Non-destructive tests show if cracks,
corrosion or other faults exist. Destructive tests in turn
indicate how and when the objects are in danger of
breaking down or failing.
Some types of non-destructive testing:
1. Magnetic Particle Testing (MT)
2. Liquid Penetrant Testing (PT)
3. Radiographic Testing (RT)
4. Ultrasonic Testing (UT)
5. Electromagnetic Testing (ET)
6. Visual Testing (VT)
7. Acoustic Emission Testing (AE)
8. Guided Wave Testing (GW)
9. Laser Testing Methods (LM)
10.Leak Testing (LT)
11.Magnetic Flux Leakage (MFL)
12.Neutron Radiographic Testing (NR)
13.Thermal/Infrared Testing (IR)
14.Vibration Analysis (VA)
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
Apr 2018 Page: 1832
The wireless sensing platform was developed to
time, lossless acquisition of structural
vibration, strain, and temperature measurements with
a specific emphasis on highway bridge monitoring.
However, as evidenced by the open architecture of the
sensor interface and flexibility of the embedded
software, the platform is capable of addressing a
variety of wireless applications utilizing a wide range
of both analog and digital sensors. Consequent to the
far reaching application, the requirements have
chosen to refer to the system design as Wireless
TING OF LARGE STRUCTURES:
Some types of destructive testing:
Destructive[2] testing is generally most suitable and
economic for mass produced objects, as the cost of
of pieces is negligible. The
samples are put under different loads and stress. That
way we can analyze in which point your material
eventually gives up and cracks. The results gained are
then compared to regulations and/or quality
ests are best when used
destructive methods: this
combination gives the best information on materials
destructive tests show if cracks,
corrosion or other faults exist. Destructive tests in turn
e objects are in danger of
destructive testing:
Magnetic Particle Testing (MT)
Liquid Penetrant Testing (PT)
Radiographic Testing (RT)
Electromagnetic Testing (ET)
Acoustic Emission Testing (AE)
Guided Wave Testing (GW)
Laser Testing Methods (LM)
Magnetic Flux Leakage (MFL)
Neutron Radiographic Testing (NR)
Thermal/Infrared Testing (IR)
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 3 | Mar-Apr 2018 Page: 1833
Nondestructive testing (NDT) [3] is the process of
inspecting, testing, or evaluating materials,
components or assemblies for discontinuities, or
differences in characteristics without destroying the
serviceability of the part or system. In other words,
when the inspection or test is completed the part can
still be used. These destructive tests are often used to
determine the physical properties of materials such as
impact resistance, ductility, yield and ultimate tensile
strength, fracture toughness and fatigue strength, but
discontinuities and differences in material
characteristics are more effectively found by NDT.
Today modern nondestructive tests are used in
manufacturing, fabrication and in-service inspections
to ensure product integrity and reliability, to control
manufacturing processes, lower production costs and
to maintain a uniform quality level. During
construction, NDT is used to ensure the quality of
materials and joining processes during the fabrication
and erection phases, and in-service NDT inspections
are used to ensure that the products in use continue to
have the integrity necessary to ensure their usefulness
and the safety of the public.
5. METHODOLOGY:
5.1 Construction:
Fig 1.2 schematic view of smart bridge
5.2 Bridge Instrumentation:
Fig 1.3 Proposed Methodology
Here we are using different types of sensors where
each detects the different problems. The ultrasonic
sensors are used to detect the natural disasters. For air
disasters we can use other sensors because to protect
the hanging bridges too. Other sensors are of common
as they monitor the strength and wreckage in the
bridge. The data values from other sensors will be
sent to the common sensors where these sensors
analyze all the data values and the analyzed values are
sent to the database. The values in the database are
further sent to the higher officials and to the common
public.
CONCLUSION:
The proposed idea will give you the information in
your hand to make an informed decision. It gives you
flexible and analyzed data in the real time. This
technique will be more useful in monitoring the
condition of bridge, dams and also provide better
support during disasters. This technique can be further
used in various applications. Now a day’s many
people lose their lives because of sudden wreckage,
improper strength and due occur of natural disasters.
To avoid loss of lives we can implement this
technology. The various data values obtained are
commonly analyzed and gives us the final decision
whether the bridge is in safe condition or not.
REFERENCES
1. N.Wijetunge, U.Gunawardana, and
R.Liyanapathirana.[2010]. “Wireless sensor
networks for structural health monitoring:
Considerations for communication protocol
design,” in Proc. IEEE 17th International
Conference on Telecommunications (ICT), pp.
694–699.
2. https://en.wikipedia.org/wiki/Destructive_testing
Bridges, Andrew. "Video imaging puts high-speed
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 3 | Mar-Apr 2018 Page: 1834
production line/automation faultfinding into tiny
camera heads". APPLIANCE Magazine.
Retrieved December 21, 2013.
3. Blitz, Jack; G. Simpson (1991). Ultrasonic
Methods of Non-Destructive Testing. Springer-
Verlag New York, LLC. ISBN 978-0-412-60470-
6.
4. spectrum.ieee.org/podcast/at-work/test-and-
measurement/smart-bridges.
5. S. A. Jang, H. Jo, S. Cho, K. A. Mechitov, J. A.
Rice, S. H. Sim, H. J. Jung, C. B. Yun, B. F.
Spencer Jr., G. Agha, Structural health monitoring
of a cable-stayed bridge using smart sensor
technology: deployment and evaluation, Smart
Struct. Sys. 6, no. 5-6, pp. 439-459, 2010.

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Pontem Monitoring using IoT

  • 1. @ IJTSRD | Available Online @ www.ijtsrd.com ISSN No: 2456 International Research Pontem Monitoring using IoT R. Dhivya Devi Department of Electronics and Communication KPR Institute of Engineering and Technology, Arasur, Coimbatore, Tamil ABSTRACT In recent years, many of the bridges are monitored using non-destructive testing methods. These methods are used for checking the structural wreckage, strength of the bridges. To reduce the human losses, economic losses, protect the strength and structure of bridge we are introducing a smart bridge monitoring using sensors where it gives high and low values depending upon the problem oc in the bridge. Now a day we are in hike of power supply, so we are using Wireless Sensor Networks (WSN) technology for regular monitoring of the bridge which consumes less power with accurate values. This project describes the real time working and getting real time values. Outcome of the project is to bring a product based module. Keywords: WSN; SHM; Nodes; Methodology; 1. INTRODUCTION: Health is an important issue not only for human beings, but also for civil infrastructures. Bridge collapses often result in a large number of casualties, as well as negative social and economic consequences, as was seen in the I collapse in Minneapolis, MN, in2007. Structural health monitoring (SHM) of civil infrastructures can mitigate problems. The monitoring system can estimate the bridge's various physical states. To determine structural performance and find possible damage locations. Cable tension force, one of the most important integrity measures for cable bridges, is estimated automatically using a vibration based method. We also could assess deck interaction, which may cause dynamic instability of @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 3 | Mar-Apr 2018 ISSN No: 2456 - 6470 | www.ijtsrd.com | Volume International Journal of Trend in Scientific Research and Development (IJTSRD) International Open Access Journal Pontem Monitoring using IoT Dhivya Devi, S. Dinesh, S. Gowri Shankar, K. Ravi Teja Department of Electronics and Communication Engineering Engineering and Technology, Arasur, Coimbatore, Tamil Nadu In recent years, many of the bridges are monitored destructive testing methods. These methods are used for checking the structural damage, wreckage, strength of the bridges. To reduce the human losses, economic losses, protect the strength and structure of bridge we are introducing a smart bridge monitoring using sensors where it gives high and low values depending upon the problem occurred in the bridge. Now a day we are in hike of power supply, so we are using Wireless Sensor Networks (WSN) technology for regular monitoring of the bridge which consumes less power with accurate values. This project describes the real time working getting real time values. Outcome of the project is WSN; SHM; Nodes; Methodology; Health is an important issue not only for human beings, but also for civil infrastructures. Bridge collapses often result in a large number of casualties, as well as negative social and economic consequences, as was seen in the I-35W bridge neapolis, MN, in2007. Structural health monitoring (SHM) of civil infrastructures can mitigate problems. The monitoring system can estimate the bridge's various physical states. To determine structural performance and find possible tension force, one of the most important integrity measures for cable-stayed bridges, is estimated automatically using a vibration- based method. We also could assess deck-cable interaction, which may cause dynamic instability of the bridge. Aerodynamic and aero elastic properties of bridges are estimated based on synchronized wind and acceleration data. The measured data from the wireless monitoring system enables comprehensive assessment of the bridge's health. 2. WIRELESS NETWORKS: Wireless network is drastically evolved in the present century. As the wired connections are complicated in case of a large network, wireless communications are preferred in many areas. Thus in our project Wireless communication plays a major role in transferring the sensed data values of the bridge to the cloud storage. In order to store the data in cloud we are designing a web page using PHP web language. Using this webpage, can be opened across the globe by providing a separate ip address. 3. WSN TECHNOLOGY: Wireless sensor networks (WSN), sometimes called wireless sensor and actuator networks (WSAN), are spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location. The more modern networks are bi enabling control of sensor activity. The development of wireless sensor networks was motivated by military applications such as battlefield surveillance; today such networks are used in many industrial and consumer applications, such as industrial process monitoring and control, machine health monitoring, etc. Apr 2018 Page: 1831 6470 | www.ijtsrd.com | Volume - 2 | Issue – 3 Scientific (IJTSRD) International Open Access Journal Nadu, India and aero elastic properties of bridges are estimated based on synchronized wind and acceleration data. The measured data from the wireless monitoring system enables comprehensive assessment of the bridge's health. WIRELESS NETWORKS: astically evolved in the present century. As the wired connections are complicated in case of a large network, wireless communications are preferred in many areas. Thus in our project Wireless communication plays a major role in transferring the a values of the bridge to the cloud storage. In order to store the data in cloud we are designing a web page using PHP web language. Using this opened across the globe by providing a separate ip address. networks (WSN), sometimes called wireless sensor and actuator networks (WSAN), are spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively ough the network to a main location. The more modern networks are bi-directional, also enabling control of sensor activity. The development of wireless sensor networks was motivated by military applications such as battlefield surveillance; today orks are used in many industrial and consumer applications, such as industrial process monitoring and control, machine health monitoring,
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 @ IJTSRD | Available Online @ www.ijtsrd.com It is built of "nodes” from a few to several hundreds or even thousands, where each node is connected to one sensor. 3.1 Each such sensor network node has typically several parts: 1. A radio transceiver with an internal antenna or connection to an external antenna 2. A microcontroller 3. An electronic circuit for interfacing with the sensors and an energy source The cost of sensor nodes is similarly variable, ranging from a few to hundreds of dollars, depending on the complexity of the individual sensor nodes. Size and cost constraints on sensor nodes result in corresponding constraints on resources such as energy, memory, computational speed and communications bandwidth. The topology of the WSNs can vary from a simple star network to an[1] advanced multi-hop wireless mesh network. The propagation technique between the hops of the network can be routing or flooding. If a centralized architecture is used in a sensor network and the central node fails, then the entire network will collapse, however the reliability of the sensor network can be increased by using distributed control architecture. Distributed control is used in WSNs for the following reasons: 1. Sensor nodes are prone to failure, 2. for better collection of data, 3. To provide nodes with backup in case of failure of the central node. There is also no centralized body to allocate the resources and they have to be self-organized. Area monitoring is a common application of WSNs. In area monitoring, the WSN is deployed over a region where some phenomenon is to be monitored Fig 1.1 WSN Network International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456 @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 3 | Mar-Apr 2018 It is built of "nodes” from a few to several hundreds or even thousands, where each node is connected to 3.1 Each such sensor network node has typically A radio transceiver with an internal antenna or An electronic circuit for interfacing with the sensor nodes is similarly variable, ranging from a few to hundreds of dollars, depending on the of the individual sensor nodes. Size and cost constraints on sensor nodes result in corresponding constraints on resources such as computational speed and communications bandwidth. The topology of the WSNs can vary from a simple star network to an[1] hop wireless mesh network. The propagation technique between the hops of the ntralized architecture is used in a sensor network and the central node fails, then the entire network will collapse, however the reliability of the sensor network can be increased by using distributed control architecture. Distributed control is used in To provide nodes with backup in case of failure of There is also no centralized body to allocate the nized. Area monitoring is a common application of WSNs. In area monitoring, the WSN is deployed over a region where some phenomenon is to be monitored. The wireless sensing platform was developed to address real-time, lossless acquis vibration, strain, and temperature measurements with a specific emphasis on highway bridge monitoring. However, as evidenced by the open architecture of the sensor interface and flexibility of the embedded software, the platform is capa variety of wireless applications utilizing a wide range of both analog and digital sensors. Consequent to the far reaching application, the requirements have chosen to refer to the system design as Wireless Sensor Solution, or WSS. 4. TESTING OF LARGE STRUCTURES: Some types of destructive testing: 1. Stress tests 2. Crash tests 3. Hardness tests 4. Metallographic tests Destructive[2] testing is generally most suitable and economic for mass produced objects, as the cost of destroying a small number of pieces is negligible. The samples are put under different loads and stress. That way we can analyze in which point your material eventually gives up and cracks. The results gained are then compared to regulations and/or quality guidelines. Destructive tests are best when used together with our non-destructive methods: this combination gives the best information on materials and welds. Non-destructive tests show if cracks, corrosion or other faults exist. Destructive tests in turn indicate how and when the objects are in danger of breaking down or failing. Some types of non-destructive testing: 1. Magnetic Particle Testing (MT) 2. Liquid Penetrant Testing (PT) 3. Radiographic Testing (RT) 4. Ultrasonic Testing (UT) 5. Electromagnetic Testing (ET) 6. Visual Testing (VT) 7. Acoustic Emission Testing (AE) 8. Guided Wave Testing (GW) 9. Laser Testing Methods (LM) 10.Leak Testing (LT) 11.Magnetic Flux Leakage (MFL) 12.Neutron Radiographic Testing (NR) 13.Thermal/Infrared Testing (IR) 14.Vibration Analysis (VA) International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 Apr 2018 Page: 1832 The wireless sensing platform was developed to time, lossless acquisition of structural vibration, strain, and temperature measurements with a specific emphasis on highway bridge monitoring. However, as evidenced by the open architecture of the sensor interface and flexibility of the embedded software, the platform is capable of addressing a variety of wireless applications utilizing a wide range of both analog and digital sensors. Consequent to the far reaching application, the requirements have chosen to refer to the system design as Wireless TING OF LARGE STRUCTURES: Some types of destructive testing: Destructive[2] testing is generally most suitable and economic for mass produced objects, as the cost of of pieces is negligible. The samples are put under different loads and stress. That way we can analyze in which point your material eventually gives up and cracks. The results gained are then compared to regulations and/or quality ests are best when used destructive methods: this combination gives the best information on materials destructive tests show if cracks, corrosion or other faults exist. Destructive tests in turn e objects are in danger of destructive testing: Magnetic Particle Testing (MT) Liquid Penetrant Testing (PT) Radiographic Testing (RT) Electromagnetic Testing (ET) Acoustic Emission Testing (AE) Guided Wave Testing (GW) Laser Testing Methods (LM) Magnetic Flux Leakage (MFL) Neutron Radiographic Testing (NR) Thermal/Infrared Testing (IR)
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 3 | Mar-Apr 2018 Page: 1833 Nondestructive testing (NDT) [3] is the process of inspecting, testing, or evaluating materials, components or assemblies for discontinuities, or differences in characteristics without destroying the serviceability of the part or system. In other words, when the inspection or test is completed the part can still be used. These destructive tests are often used to determine the physical properties of materials such as impact resistance, ductility, yield and ultimate tensile strength, fracture toughness and fatigue strength, but discontinuities and differences in material characteristics are more effectively found by NDT. Today modern nondestructive tests are used in manufacturing, fabrication and in-service inspections to ensure product integrity and reliability, to control manufacturing processes, lower production costs and to maintain a uniform quality level. During construction, NDT is used to ensure the quality of materials and joining processes during the fabrication and erection phases, and in-service NDT inspections are used to ensure that the products in use continue to have the integrity necessary to ensure their usefulness and the safety of the public. 5. METHODOLOGY: 5.1 Construction: Fig 1.2 schematic view of smart bridge 5.2 Bridge Instrumentation: Fig 1.3 Proposed Methodology Here we are using different types of sensors where each detects the different problems. The ultrasonic sensors are used to detect the natural disasters. For air disasters we can use other sensors because to protect the hanging bridges too. Other sensors are of common as they monitor the strength and wreckage in the bridge. The data values from other sensors will be sent to the common sensors where these sensors analyze all the data values and the analyzed values are sent to the database. The values in the database are further sent to the higher officials and to the common public. CONCLUSION: The proposed idea will give you the information in your hand to make an informed decision. It gives you flexible and analyzed data in the real time. This technique will be more useful in monitoring the condition of bridge, dams and also provide better support during disasters. This technique can be further used in various applications. Now a day’s many people lose their lives because of sudden wreckage, improper strength and due occur of natural disasters. To avoid loss of lives we can implement this technology. The various data values obtained are commonly analyzed and gives us the final decision whether the bridge is in safe condition or not. REFERENCES 1. N.Wijetunge, U.Gunawardana, and R.Liyanapathirana.[2010]. “Wireless sensor networks for structural health monitoring: Considerations for communication protocol design,” in Proc. IEEE 17th International Conference on Telecommunications (ICT), pp. 694–699. 2. https://en.wikipedia.org/wiki/Destructive_testing Bridges, Andrew. "Video imaging puts high-speed
  • 4. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 @ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 3 | Mar-Apr 2018 Page: 1834 production line/automation faultfinding into tiny camera heads". APPLIANCE Magazine. Retrieved December 21, 2013. 3. Blitz, Jack; G. Simpson (1991). Ultrasonic Methods of Non-Destructive Testing. Springer- Verlag New York, LLC. ISBN 978-0-412-60470- 6. 4. spectrum.ieee.org/podcast/at-work/test-and- measurement/smart-bridges. 5. S. A. Jang, H. Jo, S. Cho, K. A. Mechitov, J. A. Rice, S. H. Sim, H. J. Jung, C. B. Yun, B. F. Spencer Jr., G. Agha, Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation, Smart Struct. Sys. 6, no. 5-6, pp. 439-459, 2010.