Underground Gas and Oil Pipeline Monitoring System Using Embedded And Dip

Mr E. Gangadurai

Abstract


In the field of industry, corrosion and defects are regarded as important issues. This paper describes a methodology for automatic analysis of the inner surface of Gas and oil pipelines by means of mobile robot and digital image processing. A mobile Robot carrying a digital camera is allowed inside the pipeline to inspect. We introduce an image processing method for automatically detecting the defects in pipelines automated detection. Image enhancement is also performed. These methods of inspection of underground gas and oil pipeline early predict the damaged area and reduce the risk of accidents. We implement this simulation using MATLAB R2015a.This algorithm provides about 80% accuracy in final result, which highlights the main purpose of DIP technique.

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References


Mohammadreza Motamedi , Graduate Student Member, IEEE, Farrokh Faramarzi , Olga Duran, “New Concept for Corrosion Inspection of Urban Pipeline Networks by Digital Image Processing,” 2012 IEEE

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