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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1508
Design and Development of Device Used for Detection of Cracks on
Railway Tracks
Mayank Mishra#1, Rushikesh Bhawar#2, Rehan Yahoo#3, Yogesh Maske*4
#Student, Department of Mechanical Engineering, MIT Academy of engineering, Alandi, Pune, India
*Assistant Professor, Department of Mechanical Engineering, MIT Academy of engineering, Alandi, Pune, India
------------------------------------------------------------------------***-----------------------------------------------------------------------
Abstract - The Indian railway is one of the largest railway
networks in the world. Despite being such a large network,
the safety parameters of Indian railways are substandard.
The safety standards and outdated technology causes
numerous train accidents and puts human lives in danger.
These lives can be saved by avoiding and eliminating the
main cause of such accidents i.e. detecting cracks in railway
tracks and detecting obstacles over the track. The objective
of this paper is to design and develop a system using sensors
and automation to detect and warn the station master about
possible danger. This paper briefs the sensors like GPS
module, GSM modem, IR sensor, PIR sensor used for
application of communication purpose, crack detection, and
finding of human beings present in the railway track. Here,
the GPS module and GSM modem help us to find and send
railway geometric parameters of crack detection to the
nearest railway station. This paper completes the study of a
reliable crack detection system which can also be used in
physical conditions.
Keywords - GPS module, GSM module, IR sensor,Railway
track crack detection, Ultrasonic distance meter
I. INTRODUCTION
In India, railway transport is the most widely used
and common mode of transportation for people, covering
over 1, 15,000 km in distance, all over the country[1].
Transportation helps in moving people and goods from one
place to another [2]. Nowadays we often observe in the news
that railway accidents are quite common. The main reason
behind this is due to the presence of cracks and other
problems on the railway track. These cracks and other
problems with the railway generally go unnoticed due to
improper maintenance and manual track line monitoring
that is being carried out. For preventing this accident and
reducing man power we should use an automated system. It
will help to monitor the presence of cracks and other
problems on the railway track and when the crack or any
defect found on the track at that instant the crack detecting
device will automatically stop moving on the track and find
the cracks inside the railway track.
Figure 1 Wide crack on a running railway track [3].
The device consists of different sensors like IR sensor,
ultrasonic sensor, PIR sensor, and GSM module, GPS module
which detects and sends the information to Arduino Mega.
The main aim of the robot is to find the cracks in the rail
track. This device will run on the rail track with 3m/s speed.
IR sensor used in this robot will detect the presence of cracks
and ultrasonic sensor will detect obstacles in the path of the
robot on the railway track. PIR sensor will see if an obstacle
is moving or stationary. Data will be saved and displayed
LCD.
When a crack or any defect will found then that location
will be found by GPS module and this information will be
sent through SMS to the nearby station master by GSM
module. A V-shaped extrusion bar is used in the device which
makes the design flexible so that we can use this on the
different size rail track.
II. LITERATURE REVIEW
It is observed that many researchers have already
worked on the same issue and developed some device for the
same. Divya and Ritika[3] introduced PIR sensors to detect
human presence on the track and avoid suicides. Also, the
major parts used IR device, Ultrasonic, PIR sensor, flame
detector. The cracks within the railway track will be detected
by IR sensors. Infrared(IR). These sensors contain a
transmitter that will transmit infrared rays and a receiver
that will receive back the transmitted rays. Measure ought to
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1509
be taken to form positive that each the transmitter and
receiver lies in a very line. If the signal sent by the
transmitteris received by the receiver section it indicates the
presence of crack within the track. A fire sensor is added for
the safety and smooth running of device as well.
Kuthe, Amale and Barbuddhye[4] used the LCD screen to
display the data of the detected crack and save it for further
more time. Paul, Varghese, Menon and Krishn[5] has
approach for GPS and GSM in the decice. They discusses a
Railway track crack detection using image process and could
be a dynamic approach which mixes the utilization of GPS
following system and LAN module to sendalert messages and
therefore the geographical coordinate of location. IR detector
is employed to finding the cracks and injury of tracks.
unhearable sensors square measure used to discover any
obstacle on the rail track. Terribly correct detection and
conjointly obtaining correct output compare to the
prevailing system. In traditional condition, the motor, LDR,
Serial transmission is within the initial stage. Once the
battery power provides the microcontroller then it's
beginning the motor within the forward direction and serial
transmission is employed to send the messages to the
microcontroller. LDR is employed presence or absence of a
crack in the railway line.
III. MATERIALS AND METHODS
A. Materials Required
The Railway Track Crack Detection System has different
sensors dedicated for unique tasks. Also, materials like V-Slot
aluminum extrusion bars are used to develop the modular
chassis of the robot. Other required parts such as couplings
for drive, motor mounts and mounts for sensors are
developed by 3-D printing using the PLA material. All other
components such as battery, display, microcontroller,
modules and sensors are mentioned in the Table1.
Table 1 Sensors, Actuators and Components used in developing the crack detection device.
B. Circuit Diagram
The integration of all the sub-systems is done through a
central PCB. All the sensors, modules, motor drivers, etc. are
controlled through a Central PCB the robot (Figure2). A
dedicated drive PCB for each module containing the
necessary electronics is connected to the central PCB
using RS232 and DB9 connectors. Other signal connections
use standard locking PTR connectors.
Sr. No. Name Specific Model Purpose
1 IR Sensor SHARP GP2Y0A710K0F Detect crack on track
2 Ultrasonic Sensor JSN-SR04T Detect obstacle in front of equipment
3 PIR Sensor HC-SR501 Check if obstacle is moving or static
4 GSM Module SIM 900 Send message to nearby station master
5 GPS Module GY-NEO6MV2 Detect the location of crack
6 LCD Display Generic 0829U8OUTCY JCE 16 x 2 Display the location of crack
7 Aluminum Extrusion Bar V-Slot Material for chassis
8 Ardiuno Mega Arduino Mega 2560 R3 Use as a microcontroller
9 Fire Sensor Infrared Flame Sensor Detect if there is any fire
10 DC geared motor IG32 Drive the equipment
11 Motor Driver Robodo L298 Motor Driver Drive the Motor
12 Battery Orange 2200 Mah 24v Supply Power
13 Printing Material CREO PLA Print Couplings, Motor mount, etc
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1510
Figure 2 The main circuit board of the device
C. Proposed Solution
The block diagram shows the schematic diagram of
system. Here the sensors i.e. IR sensor, Ultrasonic Sensor,
PIR Sensor, GPS Module feed the input data to the
microcontroller. The power is supplied to the
microcontroller which operates the actuation of motors and
sends signals and data accordingly (Figure 3).
Figure 3 Schematic diagram of system.
D. Railway crack detection by ultrasonic wave
It is possible to use ultrasonic waves to find flow as well as
cracks on the railway tracks. Flow is the internal defect in
the railway track, whereas the crack is the defect that can be
seen on the outer surface of the track. To find the flow on the
railway track, we need high-frequency ultrasonic waves. On
another hand, for finding the crack on the railway track we
didn’t require high energy ultrasonic wave and the reason
for that is a crack is present o the outer surface of the track
that is why it is not necessary to present ultrasonic wave in
the track, so low-frequency ultrasonic wave range of kHz is
used for finding the crack on the surface in any material with
ultrasonic waves we have to transmit ultrasonic wave in the
material and receive back these waves and measures the
time between the transmitting of the waves.
Figure 4 Ultrasonic wave propagation.
There are two different methods for transmitting and
receiving the ultrasonic waves
1. Pulse echo method
2. Phase measurement method.
In the pulse-echo method, the transmitter and receiver are in
the same module, while in the phase measurement method
separate module for transmitter and receiver with different
phase angles is used.
E. Mathematical Modelling
In order to ensure smooth running of robot, an
appropriate motor was required that would satisfy the
demands of RPM and torque. At first through the help of
research papers, speed of the robot was finalized. Then the
following calculations were done in order to calculate the
torque. Through the values of RPM and torque, motor was
finalized.
Weight of robot = 12kg
Velocity required = 3 m/s
Radius of wheel = 95 mm
𝑣 = 𝑟w
Therefore RPM required = 300
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1511
RPM Factor of safety = 15 degree elevation
Considering body on an incline,
Figure 5 Free Body Diagram of the Robot and forces
acting on it.
Taking coefficient of friction as
0.35 F = 45.25 N
Power = Force x Velocity
Total Power = 135.75 W
Power for single motor = 135.75/4 = 33.9
W 𝑃 = 𝜏 × 𝜔
Therefore,
Torque on a single motor = 0.927 Nm = 9.45 kg-cm
F. Methodology
Our proposed solution has two parallel operations
running first one is the detection of crack and the second is
the detection of an obstacle. In the detection of crack, we are
using a Sharp IR sensor. As the speed of our robot won’t
exceed 3m/s sharp IR can detect crack easily. The data of IR
every 20 meter will be neglected as it is the gap between the
tracks (as piece of railway track is 20 meter long). After the
detection of any crack in assigned 20 meter distance by IR in
assigned 20 meter distance, it will send a signal to the
microcontroller. The microcontroller will then send the
signal to the GPS module to get the exact location [6]. The
GPS module will send the data about the location to the
microcontroller which further will send the location data to
the station master and driver using the GSM module [7]. For
the case of low signal or no signal which is the most common
problem when the robot goes inside a tunnel, we have added
an LCD display screen that will be displaying the location of
the crack and will save it. When the robot will get out of the
tunnel the data stored from the LCD screen will be sent to
the station master. In the detection of obstacles, we are using
an ultrasonic sensor and a PIR sensor. An ultrasonic sensor
will detect if there is any obstacle in the front of the robot
and will continuously send signals to the PIR sensor. If
ultrasonic finds any obstacle then the robot will stop and
then PIR will check if the obstacle is a static or moving
obstacle. In case, if the obstacle is moving, the robot will wait
until the obstacle passes by and the movement of the
obstacle will be checked by an ultrasonic sensor. If it’s a
moving obstacle then it will wait till the obstacle passes, the
passing of the obstacle will be checked by an ultrasonic
sensor. If it’s a static obstacle then it will send a location with
an obstacle message to the station master [9].
G. Robot Design
Figure 6 Robot Design
Figure 6 shows design of the device. It has modular
aluminum chassis which is grey in color and t does have T-
nut slots in it. It has 3-D printed motor mount which are blue
in color. The yellow color L-shaped brackets are aluminum
T-nut slots brackets. Ultrasonic sensors are mounted on
front and has navy blue color. Front-center is occupied by
PIR sensor and has white color. Two IR proximity sensors
are also mounted on chassis and in the central line of wheels
and has grey color. The mounts for ultrasonic sensor, PIR
sensor and IR proximity sensor have the same color as of the
sensors. One polycarbonate sheet is mounted in center of
chassis and has grey color and it has electronics mounted on
it. Everything is arranged properly so that the center of
gravity should be as low as it can be to reduce toppling effect
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1512
and it is maintained at center so that every wheel gets almost
equal load. The wheels are slotted so that they get fixed on
the dark grey color railway track. Further some simulations
are done on this design and results are obtained for torque in
the motor versus time and velocity versus time graphs.
IV. RESULTS AND DISCUSSION
Our basic motion was smooth in running. The results of
motion analysis were also as expected. Our first analysis of
Motor torque versus Time shows that when a robot will start
moving the torque will be highest but as its speed starts
increasing the torque starts reducing. Our second analysis of
Velocity versus Time shows that its maximum speed goes to
3m/s and minimum is 0. The graph also shows speed as -
3m/s because the analysis is done for reciprocating motion
when coming back its speed is - 3m/s.
Figure 7 Result graph of motor torque versus time analysis.
Figure 8 Result graph of velocity versus time calculation.
With the help of 24 volt batteries the device can run about 3
hours consistently which can be increased by adding
batteries in parallel. Considering its normal speed in one go
the device can cover a distance of 32 kilometers.
V. CONCLUSION
The method we proposed in this paper can be used to
find the crack in the railway track. By using this technique
for railway track inspection, manpower can get reduced. IR
sensor-based railway crack detection and PIR sensor-based
presence of human detection system with GSM module for
the alarming station was developed. High efficient ad simple
system is designed ad analyzed successfully. A V-shaped
extrusion bar has used this device which makes it flexible
and can use on different sizes of railway tracks. In the future,
this device can be used by Indian railways to inspect and
secure wide network tracks. Develop technology that can be
used at the domestic ad at commercial places with future
vision.
ACKNOWLEDGMENT
The authors wish to thank MIT Academy of Engineering
for providing support to complete this research paper.
REFERENCES
[1] D Poorathumkal,A Sunny,SPUdayan and YK Jain.
Automatic Railway Track Crack Detecting Vehicle.
IRJET. 2020; 7.
[2] P Navaraja. Crack detection system for Railway track
by using Ultrasonic and PIR
sensor.IJAICT.2014;3.Doi:01.0401/ijaict.2014.01.24.
[3] S Agrawal, P Bharane,D khan,S Fundkar,S More,A
Khande,S Ghait and S Vairale.An Arduino based
method for detecting cracks and obstacles in
Railway tracks. IJSRSET. 2018; 4.
[4] SD Kuthe,SA Amale and VG Barbuddhye. Smart Root
for Railway Track Crack Detection System using
LED-Photodiode Assembly. Advance Research in
Electrical and Electronic Engineering.2015;2,8-11.
[5] R Paul, N Varghese,U Menon and S Krishna K.
Railway Track Crack Detection. International Journal
of advance Research and Development.2018; 3.
[6] DN Kumar, M Uday,G Brahmini,AMReddy andSM
Kumar. Railway Track Crack Detecting System.
IJSDR.2017;2.
[7] V Divya and R Sreekumar.Crack Detection for
Railway tracks and Accident Prevention.
International Journal for Research in Applied
Science & Engineering Technology. 2017;
5.http://doi.org/10.22214ijraset.2017.2063.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1513
[8] A N, D Mohan, F P and S Gopinath. Railway Cracks
Detection System. International Research Journal of
Engineering & Technology.2016;3.
[9] JM. Armingol , J Alfonso , N Aliane, M Clavijo , CC
Sergio, ADL Escalera , JD Ser , J Fernández , F García ,
F Jiménez , AM López , M Mata , D Martín, JM
Menéndez , SC Javier , D Vázquez and G Villalonga.
Environmental Perception for Intelligent Vehicles.
Intelligent Vehicles Enabling Technologies and
Future Developments, Spain, 2018, p.23-11.

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Design and Development of Device Used for Detection of Cracks on Railway Tracks

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1508 Design and Development of Device Used for Detection of Cracks on Railway Tracks Mayank Mishra#1, Rushikesh Bhawar#2, Rehan Yahoo#3, Yogesh Maske*4 #Student, Department of Mechanical Engineering, MIT Academy of engineering, Alandi, Pune, India *Assistant Professor, Department of Mechanical Engineering, MIT Academy of engineering, Alandi, Pune, India ------------------------------------------------------------------------***----------------------------------------------------------------------- Abstract - The Indian railway is one of the largest railway networks in the world. Despite being such a large network, the safety parameters of Indian railways are substandard. The safety standards and outdated technology causes numerous train accidents and puts human lives in danger. These lives can be saved by avoiding and eliminating the main cause of such accidents i.e. detecting cracks in railway tracks and detecting obstacles over the track. The objective of this paper is to design and develop a system using sensors and automation to detect and warn the station master about possible danger. This paper briefs the sensors like GPS module, GSM modem, IR sensor, PIR sensor used for application of communication purpose, crack detection, and finding of human beings present in the railway track. Here, the GPS module and GSM modem help us to find and send railway geometric parameters of crack detection to the nearest railway station. This paper completes the study of a reliable crack detection system which can also be used in physical conditions. Keywords - GPS module, GSM module, IR sensor,Railway track crack detection, Ultrasonic distance meter I. INTRODUCTION In India, railway transport is the most widely used and common mode of transportation for people, covering over 1, 15,000 km in distance, all over the country[1]. Transportation helps in moving people and goods from one place to another [2]. Nowadays we often observe in the news that railway accidents are quite common. The main reason behind this is due to the presence of cracks and other problems on the railway track. These cracks and other problems with the railway generally go unnoticed due to improper maintenance and manual track line monitoring that is being carried out. For preventing this accident and reducing man power we should use an automated system. It will help to monitor the presence of cracks and other problems on the railway track and when the crack or any defect found on the track at that instant the crack detecting device will automatically stop moving on the track and find the cracks inside the railway track. Figure 1 Wide crack on a running railway track [3]. The device consists of different sensors like IR sensor, ultrasonic sensor, PIR sensor, and GSM module, GPS module which detects and sends the information to Arduino Mega. The main aim of the robot is to find the cracks in the rail track. This device will run on the rail track with 3m/s speed. IR sensor used in this robot will detect the presence of cracks and ultrasonic sensor will detect obstacles in the path of the robot on the railway track. PIR sensor will see if an obstacle is moving or stationary. Data will be saved and displayed LCD. When a crack or any defect will found then that location will be found by GPS module and this information will be sent through SMS to the nearby station master by GSM module. A V-shaped extrusion bar is used in the device which makes the design flexible so that we can use this on the different size rail track. II. LITERATURE REVIEW It is observed that many researchers have already worked on the same issue and developed some device for the same. Divya and Ritika[3] introduced PIR sensors to detect human presence on the track and avoid suicides. Also, the major parts used IR device, Ultrasonic, PIR sensor, flame detector. The cracks within the railway track will be detected by IR sensors. Infrared(IR). These sensors contain a transmitter that will transmit infrared rays and a receiver that will receive back the transmitted rays. Measure ought to
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1509 be taken to form positive that each the transmitter and receiver lies in a very line. If the signal sent by the transmitteris received by the receiver section it indicates the presence of crack within the track. A fire sensor is added for the safety and smooth running of device as well. Kuthe, Amale and Barbuddhye[4] used the LCD screen to display the data of the detected crack and save it for further more time. Paul, Varghese, Menon and Krishn[5] has approach for GPS and GSM in the decice. They discusses a Railway track crack detection using image process and could be a dynamic approach which mixes the utilization of GPS following system and LAN module to sendalert messages and therefore the geographical coordinate of location. IR detector is employed to finding the cracks and injury of tracks. unhearable sensors square measure used to discover any obstacle on the rail track. Terribly correct detection and conjointly obtaining correct output compare to the prevailing system. In traditional condition, the motor, LDR, Serial transmission is within the initial stage. Once the battery power provides the microcontroller then it's beginning the motor within the forward direction and serial transmission is employed to send the messages to the microcontroller. LDR is employed presence or absence of a crack in the railway line. III. MATERIALS AND METHODS A. Materials Required The Railway Track Crack Detection System has different sensors dedicated for unique tasks. Also, materials like V-Slot aluminum extrusion bars are used to develop the modular chassis of the robot. Other required parts such as couplings for drive, motor mounts and mounts for sensors are developed by 3-D printing using the PLA material. All other components such as battery, display, microcontroller, modules and sensors are mentioned in the Table1. Table 1 Sensors, Actuators and Components used in developing the crack detection device. B. Circuit Diagram The integration of all the sub-systems is done through a central PCB. All the sensors, modules, motor drivers, etc. are controlled through a Central PCB the robot (Figure2). A dedicated drive PCB for each module containing the necessary electronics is connected to the central PCB using RS232 and DB9 connectors. Other signal connections use standard locking PTR connectors. Sr. No. Name Specific Model Purpose 1 IR Sensor SHARP GP2Y0A710K0F Detect crack on track 2 Ultrasonic Sensor JSN-SR04T Detect obstacle in front of equipment 3 PIR Sensor HC-SR501 Check if obstacle is moving or static 4 GSM Module SIM 900 Send message to nearby station master 5 GPS Module GY-NEO6MV2 Detect the location of crack 6 LCD Display Generic 0829U8OUTCY JCE 16 x 2 Display the location of crack 7 Aluminum Extrusion Bar V-Slot Material for chassis 8 Ardiuno Mega Arduino Mega 2560 R3 Use as a microcontroller 9 Fire Sensor Infrared Flame Sensor Detect if there is any fire 10 DC geared motor IG32 Drive the equipment 11 Motor Driver Robodo L298 Motor Driver Drive the Motor 12 Battery Orange 2200 Mah 24v Supply Power 13 Printing Material CREO PLA Print Couplings, Motor mount, etc
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1510 Figure 2 The main circuit board of the device C. Proposed Solution The block diagram shows the schematic diagram of system. Here the sensors i.e. IR sensor, Ultrasonic Sensor, PIR Sensor, GPS Module feed the input data to the microcontroller. The power is supplied to the microcontroller which operates the actuation of motors and sends signals and data accordingly (Figure 3). Figure 3 Schematic diagram of system. D. Railway crack detection by ultrasonic wave It is possible to use ultrasonic waves to find flow as well as cracks on the railway tracks. Flow is the internal defect in the railway track, whereas the crack is the defect that can be seen on the outer surface of the track. To find the flow on the railway track, we need high-frequency ultrasonic waves. On another hand, for finding the crack on the railway track we didn’t require high energy ultrasonic wave and the reason for that is a crack is present o the outer surface of the track that is why it is not necessary to present ultrasonic wave in the track, so low-frequency ultrasonic wave range of kHz is used for finding the crack on the surface in any material with ultrasonic waves we have to transmit ultrasonic wave in the material and receive back these waves and measures the time between the transmitting of the waves. Figure 4 Ultrasonic wave propagation. There are two different methods for transmitting and receiving the ultrasonic waves 1. Pulse echo method 2. Phase measurement method. In the pulse-echo method, the transmitter and receiver are in the same module, while in the phase measurement method separate module for transmitter and receiver with different phase angles is used. E. Mathematical Modelling In order to ensure smooth running of robot, an appropriate motor was required that would satisfy the demands of RPM and torque. At first through the help of research papers, speed of the robot was finalized. Then the following calculations were done in order to calculate the torque. Through the values of RPM and torque, motor was finalized. Weight of robot = 12kg Velocity required = 3 m/s Radius of wheel = 95 mm 𝑣 = 𝑟w Therefore RPM required = 300
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1511 RPM Factor of safety = 15 degree elevation Considering body on an incline, Figure 5 Free Body Diagram of the Robot and forces acting on it. Taking coefficient of friction as 0.35 F = 45.25 N Power = Force x Velocity Total Power = 135.75 W Power for single motor = 135.75/4 = 33.9 W 𝑃 = 𝜏 × 𝜔 Therefore, Torque on a single motor = 0.927 Nm = 9.45 kg-cm F. Methodology Our proposed solution has two parallel operations running first one is the detection of crack and the second is the detection of an obstacle. In the detection of crack, we are using a Sharp IR sensor. As the speed of our robot won’t exceed 3m/s sharp IR can detect crack easily. The data of IR every 20 meter will be neglected as it is the gap between the tracks (as piece of railway track is 20 meter long). After the detection of any crack in assigned 20 meter distance by IR in assigned 20 meter distance, it will send a signal to the microcontroller. The microcontroller will then send the signal to the GPS module to get the exact location [6]. The GPS module will send the data about the location to the microcontroller which further will send the location data to the station master and driver using the GSM module [7]. For the case of low signal or no signal which is the most common problem when the robot goes inside a tunnel, we have added an LCD display screen that will be displaying the location of the crack and will save it. When the robot will get out of the tunnel the data stored from the LCD screen will be sent to the station master. In the detection of obstacles, we are using an ultrasonic sensor and a PIR sensor. An ultrasonic sensor will detect if there is any obstacle in the front of the robot and will continuously send signals to the PIR sensor. If ultrasonic finds any obstacle then the robot will stop and then PIR will check if the obstacle is a static or moving obstacle. In case, if the obstacle is moving, the robot will wait until the obstacle passes by and the movement of the obstacle will be checked by an ultrasonic sensor. If it’s a moving obstacle then it will wait till the obstacle passes, the passing of the obstacle will be checked by an ultrasonic sensor. If it’s a static obstacle then it will send a location with an obstacle message to the station master [9]. G. Robot Design Figure 6 Robot Design Figure 6 shows design of the device. It has modular aluminum chassis which is grey in color and t does have T- nut slots in it. It has 3-D printed motor mount which are blue in color. The yellow color L-shaped brackets are aluminum T-nut slots brackets. Ultrasonic sensors are mounted on front and has navy blue color. Front-center is occupied by PIR sensor and has white color. Two IR proximity sensors are also mounted on chassis and in the central line of wheels and has grey color. The mounts for ultrasonic sensor, PIR sensor and IR proximity sensor have the same color as of the sensors. One polycarbonate sheet is mounted in center of chassis and has grey color and it has electronics mounted on it. Everything is arranged properly so that the center of gravity should be as low as it can be to reduce toppling effect
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1512 and it is maintained at center so that every wheel gets almost equal load. The wheels are slotted so that they get fixed on the dark grey color railway track. Further some simulations are done on this design and results are obtained for torque in the motor versus time and velocity versus time graphs. IV. RESULTS AND DISCUSSION Our basic motion was smooth in running. The results of motion analysis were also as expected. Our first analysis of Motor torque versus Time shows that when a robot will start moving the torque will be highest but as its speed starts increasing the torque starts reducing. Our second analysis of Velocity versus Time shows that its maximum speed goes to 3m/s and minimum is 0. The graph also shows speed as - 3m/s because the analysis is done for reciprocating motion when coming back its speed is - 3m/s. Figure 7 Result graph of motor torque versus time analysis. Figure 8 Result graph of velocity versus time calculation. With the help of 24 volt batteries the device can run about 3 hours consistently which can be increased by adding batteries in parallel. Considering its normal speed in one go the device can cover a distance of 32 kilometers. V. CONCLUSION The method we proposed in this paper can be used to find the crack in the railway track. By using this technique for railway track inspection, manpower can get reduced. IR sensor-based railway crack detection and PIR sensor-based presence of human detection system with GSM module for the alarming station was developed. High efficient ad simple system is designed ad analyzed successfully. A V-shaped extrusion bar has used this device which makes it flexible and can use on different sizes of railway tracks. In the future, this device can be used by Indian railways to inspect and secure wide network tracks. Develop technology that can be used at the domestic ad at commercial places with future vision. ACKNOWLEDGMENT The authors wish to thank MIT Academy of Engineering for providing support to complete this research paper. REFERENCES [1] D Poorathumkal,A Sunny,SPUdayan and YK Jain. Automatic Railway Track Crack Detecting Vehicle. IRJET. 2020; 7. [2] P Navaraja. Crack detection system for Railway track by using Ultrasonic and PIR sensor.IJAICT.2014;3.Doi:01.0401/ijaict.2014.01.24. [3] S Agrawal, P Bharane,D khan,S Fundkar,S More,A Khande,S Ghait and S Vairale.An Arduino based method for detecting cracks and obstacles in Railway tracks. IJSRSET. 2018; 4. [4] SD Kuthe,SA Amale and VG Barbuddhye. Smart Root for Railway Track Crack Detection System using LED-Photodiode Assembly. Advance Research in Electrical and Electronic Engineering.2015;2,8-11. [5] R Paul, N Varghese,U Menon and S Krishna K. Railway Track Crack Detection. International Journal of advance Research and Development.2018; 3. [6] DN Kumar, M Uday,G Brahmini,AMReddy andSM Kumar. Railway Track Crack Detecting System. IJSDR.2017;2. [7] V Divya and R Sreekumar.Crack Detection for Railway tracks and Accident Prevention. International Journal for Research in Applied Science & Engineering Technology. 2017; 5.http://doi.org/10.22214ijraset.2017.2063.
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1513 [8] A N, D Mohan, F P and S Gopinath. Railway Cracks Detection System. International Research Journal of Engineering & Technology.2016;3. [9] JM. Armingol , J Alfonso , N Aliane, M Clavijo , CC Sergio, ADL Escalera , JD Ser , J Fernández , F García , F Jiménez , AM López , M Mata , D Martín, JM Menéndez , SC Javier , D Vázquez and G Villalonga. Environmental Perception for Intelligent Vehicles. Intelligent Vehicles Enabling Technologies and Future Developments, Spain, 2018, p.23-11.