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

Edmondson, Vikki, Cerny, Martin, Lim, Michael, Gledson, Barry, Lockley, Steve and Woodward, John (2018) A smart sewer asset information model to enable an ‘Internet of Things’ for operational wastewater management. Automation in Construction, 91. pp. 193-205. ISSN 0926-5805

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Official URL: https://doi.org/10.1016/j.autcon.2018.03.003

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.

Item Type: Article
Uncontrolled Keywords: Wastewater management, Internet of Things, IFC4, Sewerage networks
Subjects: G500 Information Systems
K900 Others in Architecture, Building and Planning
L700 Human and Social Geography
Department: Faculties > Engineering and Environment > Geography and Environmental Sciences
Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Becky Skoyles
Date Deposited: 04 May 2018 14:31
Last Modified: 04 May 2018 15:26
URI: http://nrl.northumbria.ac.uk/id/eprint/33751

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