Dept. of Electronics & Communication Engineering
Inspection Robot
Zeroth Review
Team Members-
Guided byMs Savitha Raghavan
.
1 Jishnu S (03)
2.Nanditha P
3.Rahul Johny
4.Sandra MG
(16)
(22)
(31)
Asst Prof Electronics and communication
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Dept. of Electronics & Communication Engineering
Statement of Problem: the “Why?”
•
•
•
•
Irregular inspection of the pipe may lead to various problems.
The lifetime of the pipeline can be increased .
Helps in maintaining profitable gross.
There many challenges present regarding movement and
communication of system .
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Dept. of Electronics & Communication Engineering
• There different system existing for inspection of the pipe lines in
industries.
• To form the model that is cost efficient and can operate on the basis
of machine learning techniques.
• To built up appropriate model that is suitable for the given pipe
lines.
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Dept. of Electronics & Communication Engineering
Objectives: the “What?”
• To Detect the cracks and damages inside the pipe line.
• To implement the machine learning approach in the inspection robot
for increase efficiency.
• Also to develop an intelligent system to control the inspection robot
and for tracking the cracks.
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Dept. of Electronics & Communication Engineering
Literature Survey
Referance Papers
Review
1
Internal Pipe Inspection Robot
2
Design and Development of Pipeline
Inspection Robot for Crack and
Corrosion Detection
3
Development of in-pipe locomotion
robot
4
Autonomous Robot System for
Inspection of Defects in Civil
Infrastructures
5
Sensor Motes for the Exploration and
Monitoring of Operational Pipelines
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Dept. of Electronics & Communication Engineering
Technical Approach: the “How?”
• A dc motor is used and they are connected to the wheels with gears .
• The microcontroller used here is connected to camera with IR sensor
and with the help of supervised learning the models are trained and
corresponding data sets are created.
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Dept. of Electronics & Communication Engineering
Technical Approach: the “How?” (Cont)
 Supervised learning is a machine learning method in which models
are trained using labelled data.In supervised Learning ,models need
to find the mapping function to map the input variable (x) with
output variable (y)
 Forward as well as the backward movement of the model are set up
along the distance is measured using Visual odometry which is the
process of determining the position and orientation of a robot by
analyzing the associated camera images. .
 The forward movement is set up in way such that the distance of the
model to travel is predetermined and it returns to the initial point
after reaching the predetermined distance.
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Dept. of Electronics & Communication Engineering
Technical Approach: the “How?” (Cont)
BlockDiagram
Gear motor
for wheels
LDRs and IR
Sensors
Gear motor
for wheels
Power supply
Controller
Gear Gear
motormotor
for wheels
for wheels
Motor Drivers
Gear motor
for wheels
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Dept. of Electronics & Communication Engineering
Project Management: “How and When?”
• Phase 1 work plan
WEEK
PLAN
Week-1
Divide work equally between group
members ,and collection of the data .
Week-2
Study on the structures and the features of
different pipelines used in industries
Week-3
Study on the different sensors used
Week -4
Study on the programing algorithms for the
implementing the supervised learning.
Week-5
Forming the design of the robot
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Dept. of Electronics & Communication Engineering
Budget: “How Much?”
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•
•
•
•
•
•
The budget is around 5500 rupees.
The cost of microcontroller is about 500-2000 rupees.
The cost of IR night vision camera for about 1000 rupees
Dc motors cost 350 rupees.
Gears cost 300 rupees
Magnetic wheel 500 rupees
All sensors together cost around 1000
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Dept. of Electronics & Communication Engineering
Application / importance in the
socioeconomic context
•
•
•
•
•
Conventional power plant
Refineries
Chemical and petro chemical plants
Natural gas pipelines
This helps to reducing the transportation loss caused due to aging
,corrosion , etc by regular inspection of the pipeline
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Dept. of Electronics & Communication Engineering
References
1.Mohammed, M. N., Shini Nadarajah, V., Mohd Lazim, N. F., Shazwany
Zamani, N., Al-Sanjary, O. I., Ali, M. A. M., & Al-Youif, S. (2018). Design
and Development of Pipeline Inspection Robot for Crack and Corrosion
Detection. 2018 IEEE Conference on Systems, Process and Control
(ICSPC). doi:10.1109/spc.2018.8704127
2.Lins, R. G., Givigi, S. N., Freitas, A. D. M., & Beaulieu, A. (2018).
Autonomous Robot System for Inspection of Defects in Civil Infrastructures.
IEEE Systems Journal, 12(2), 1414–1422. doi:10.1109/jsyst.2016.2611244
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Dept. of Electronics & Communication Engineering
3.Kawaguchi, Y., Yoshida, I., Kurumatani, H., Kikuta, T., & Yamada, Y.
(n.d.). Internal pipe inspection robot. Proceedings of 1995 IEEE International
Conference on Robotics and Automation. doi:10.1109/robot.1995.525390
4.Duisterwinkel, E. H. A., Talnishnikh, E., Krijnders, D., & Wortche, H. J.
(2018). Sensor Motes for the Exploration and Monitoring of Operational
Pipelines. IEEE Transactions on Instrumentation and Measurement, 67(3),
655–666. doi:10.1109/tim.2017.2775404
5. Taguchi, K., & Kawarazaki, N. (1991). Development of in-pipe locomotion
robot. Fifth International Conference on Advanced Robotics ’Robots in
Unstructured Environments. doi:10.1109/icar.1991.240637
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Dept. of Electronics & Communication Engineering
Thank You
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