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Automatic and Intelligent Integrated System for Leakage Detection in Pipes for Water Distribution Network Using Internet of Things

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 83))

Abstract

The problem of leaking distribution system is very important issues across the world to operate and via moving steps in this direction better performance of services from water supply organization can be achieved. Even though the methods and technology used in a leakage localization are based on only one kind of sensor, therefore the leakage is not identified until the water has risen above the surface. Due to physical constraint and unique feature of water distribution network designing effectively identification of leakage is very difficult. This paper incorporates idea to propose a new effective practical approach to collect the information from the sensor and after the analysis and computation of that data; information is communicated using any technology like Bluetooth, wireless network, wired network etc. which will be helpful to fire some important decision and based on this valuable decision, leakage control parameter can be controlled using Internet. This paper aims to propose the use of technology of this era, Internet of things (IoT) integrated with recent advances in electronics embedded technology to secure the most valuable resource water for this era as well as for future generation. This paper aims for proposing use of multi-sensor fusion data and Internet of things for leakage detection in pipes for water distribution network.

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Correspondence to Shikha Pranesh Gupta .

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Gupta, S.P., Pandey, U.K. (2018). Automatic and Intelligent Integrated System for Leakage Detection in Pipes for Water Distribution Network Using Internet of Things. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1. ICTIS 2017. Smart Innovation, Systems and Technologies, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-319-63673-3_62

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  • DOI: https://doi.org/10.1007/978-3-319-63673-3_62

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63672-6

  • Online ISBN: 978-3-319-63673-3

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