A smart sewer asset information model to enable an ‘Internet of Things’ for operational wastewater management

Vikki Edmondson; Martin Cerny; Michael Lim; Barry Gledson; Steven Lockley; John Woodward

doi:10.1016/j.autcon.2018.03.003

A smart sewer asset information model to enable an ‘Internet of Things’ for operational wastewater management

Vikki Edmondson, Martin Cerny, Michael Lim, Barry Gledson, Steven Lockley, John Woodward

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Abstract

Real-time prediction of flooding is vital for the successful future operational management of the UK sewerage network. Recent advances in smart infrastructure and the emergence of the Internet of Things (IoT), presents an opportunity within the wastewater sector to harness and report in real-time sewer condition data for operation management. This study presents the design and development of a prototype Smart Sewer Asset Information Model (SSAIM) for an existing sewerage network. The SSAIM, developed using Industry Foundation Class version 4 (IFC4) an open neutral data format for BIM, incorporates distributed smart sensors to enable real-time monitoring and reporting of sewer asset performance. Results describe an approach for sensor data analysis to facilitate the real-time prediction of flooding.

Original language	English
Pages (from-to)	193-205
Journal	Automation in Construction
Volume	91
Early online date	18 Mar 2018
DOIs	https://doi.org/10.1016/j.autcon.2018.03.003
Publication status	Published - 1 Jul 2018

Keywords

Wastewater management
Internet of Things
IFC4
Sewerage networks

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10.1016/j.autcon.2018.03.003Licence: CC BY

1-s2.0-S0926580517306945-mainFinal published version, 1.91 MBLicence: CC BY

http://nrl.northumbria.ac.uk/33751/Licence: CC BY

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title = "A smart sewer asset information model to enable an {\textquoteleft}Internet of Things{\textquoteright} for operational wastewater management",

abstract = "Real-time prediction of flooding is vital for the successful future operational management of the UK sewerage network. Recent advances in smart infrastructure and the emergence of the Internet of Things (IoT), presents an opportunity within the wastewater sector to harness and report in real-time sewer condition data for operation management. This study presents the design and development of a prototype Smart Sewer Asset Information Model (SSAIM) for an existing sewerage network. The SSAIM, developed using Industry Foundation Class version 4 (IFC4) an open neutral data format for BIM, incorporates distributed smart sensors to enable real-time monitoring and reporting of sewer asset performance. Results describe an approach for sensor data analysis to facilitate the real-time prediction of flooding.",

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AU - Edmondson, Vikki

AU - Cerny, Martin

AU - Lim, Michael

AU - Gledson, Barry

AU - Lockley, Steven

AU - Woodward, John

PY - 2018/7/1

Y1 - 2018/7/1

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AB - Real-time prediction of flooding is vital for the successful future operational management of the UK sewerage network. Recent advances in smart infrastructure and the emergence of the Internet of Things (IoT), presents an opportunity within the wastewater sector to harness and report in real-time sewer condition data for operation management. This study presents the design and development of a prototype Smart Sewer Asset Information Model (SSAIM) for an existing sewerage network. The SSAIM, developed using Industry Foundation Class version 4 (IFC4) an open neutral data format for BIM, incorporates distributed smart sensors to enable real-time monitoring and reporting of sewer asset performance. Results describe an approach for sensor data analysis to facilitate the real-time prediction of flooding.

KW - Wastewater management

KW - Internet of Things

KW - IFC4

KW - Sewerage networks

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DO - 10.1016/j.autcon.2018.03.003

M3 - Article

SN - 0926-5805

VL - 91

SP - 193

EP - 205

JO - Automation in Construction

JF - Automation in Construction

ER -

A smart sewer asset information model to enable an ‘Internet of Things’ for operational wastewater management

Abstract

Keywords

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