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Crack and Object Detection in Pipeline using Inspection Robot

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Crack and Object Detection in Pipeline using Inspection Robot


Hemavathi. R | Pushpalatha B A

https://doi.org/10.31142/ijtsrd18781



Hemavathi. R | Pushpalatha B A "Crack and Object Detection in Pipeline using Inspection Robot" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6, October 2018, pp.1072-1077, URL: https://www.ijtsrd.com/papers/ijtsrd18781.pdf

Pipelines are important means of transportation of gas, water, fuel oils, etc. in various fields. The transportation loss occurs due to aging, corrosion, obstacles, crack and mechanical faults in the pipeline. The lifetime of pipeline can be increased by regular inspection of pipeline and recognizing the cracks, damages and faults in the pipeline and ensuring proper maintenance of faults. This helps in preventing transportation loss and maintaining profitable gross. Thus, this paper aims to propose an autonomous robot used for in-pipe inspection which provides easy way of detecting crack and obstacle inside the pipe. The mechanical model of the pipe inspection robot was design according to the requirements of physical size of the pipe. The basic design of inspection robot consists of robot body and DC motors with the rating of 9V and 35 rpm are attached to the wheels to move the robot forward and backward. The electronic circuit is developed, consisting of an H Bridge and Arduino Uno which in turn controls the entire connection of DC motors and sensors. The robot allows for detection of cracks and obstacles inside the pipe and also allows us to communicate with it through serial communication.

pipeline inspection robot, crack, object obstacle, Arduino, LDR, IR, motor drivers


IJTSRD18781
Volume-2 | Issue-6, October 2018
1072-1077
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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