Latest revision as of 14:57, 12 February 2021

Abstract

Pipeline networks are one of the key infrastructures of our modern life. Proactive monitoring and frequent inspection of pipeline networks are very important for sustaining their safe and efficient functionalities. Existing monitoring and maintenance approaches are costly and inefficient because pipelines can be installed in large scale and in an inaccessible and hazardous environment. To overcome these challenges, we propose a novel Radio Frequency IDentification (RFID)-based Autonomous Maintenance system for Pipelines, called RAMP, which combines robotic, sensing, and RFID technologies for efficient and accurate inspection, corrective reparation, and precise geo-location information. RAMP can provide not only economical and scalable remedy but also safe and customizable solution. RAMP also allows proactive and corrective monitoring and maintenance of pipelines. One prominent advantage of RAMP is that it can be applied to a large variety of pipeline systems including water, sewer, and gas pipelines. Simulation results demonstrate the feasibility and superior performance of RAMP in comparison to the existing pipeline monitoring systems.

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• http://dx.doi.org/10.1186/s13638-015-0495-y under the license http://creativecommons.org/licenses/by/4.0

• http://dx.doi.org/10.1186/s13638-015-0495-y under the license http://creativecommons.org/licenses/by/4.0

• https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-015-0495-y under the license http://creativecommons.org/licenses/by/4.0

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https://academic.microsoft.com/#/detail/2214154128 under the license http://creativecommons.org/licenses/by/4.0