Data integration for infrastructure asset management in small to medium-sized water utilities

Water utilities collect, store and manage vast data sets using many information systems (IS). For infrastructure asset management (IAM) planning those data need to be processed and transformed into information. However, information management efficiency often falls short of desired results. This hap...

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Bibliographic Details
Published in:Water science and technology 2020-12, Vol.82 (12), p.2737-2744
Main Authors: Carriço, N, Ferreira, B, Barreira, R, Antunes, A, Grueau, C, Mendes, A, Covas, D, Monteiro, L, Santos, J, Brito, I S
Format: Article
Language:English
Subjects:
Asset management
Cities
Customer relationship management
Data
Data integration
Decision making
Enterprise resource planning
Geographic information systems
Information management
Information systems
Infrastructure
Internet of Things
Interoperability
Local government
Municipalities
Water
Water shortages
Water Supply
Water utilities
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Summary:Water utilities collect, store and manage vast data sets using many information systems (IS). For infrastructure asset management (IAM) planning those data need to be processed and transformed into information. However, information management efficiency often falls short of desired results. This happens particularly in municipalities where management is structured according to local government models. Along with the existing IS at the utilities' disposal, engineers and managers take their decisions based on information that is often incomplete, inaccurate or out-of-date. One of the main challenges faced by asset managers is integrating the several, often conflicting, sources of information available on the infrastructure, its condition and performance, and the various predictive analyses that can assist in prioritizing projects or interventions. This paper presents an overview of the IS used by Portuguese water utilities and discusses how data from different IS can be integrated in order to support IAM.
ISSN:0273-1223
1996-9732
DOI:10.2166/wst.2020.377