Smart IoT infrastructure for urban water pipeline networks: A data engineering approach to proactive maintenance

This comprehensive framework for implementing smart IoT infrastructure in urban water pipeline monitoring systems integrates thousands of distributed sensors measuring critical parameters with a robust data engineering pipeline that enables real-time processing and analysis. By leveraging streaming technologies, columnar databases, and advanced analytics algorithms, the system facilitates anomaly detection, predictive maintenance, and operational optimization across extensive urban networks. The data-driven approach allows utility managers to transition from reactive to proactive infrastructure management, significantly reducing emergency repairs while improving service reliability. Through visualization dashboards and automated alert systems, stakeholders gain unprecedented visibility into network health and performance trends. The findings suggest that such smart infrastructure implementations not only enhance operational efficiency but also contribute to more sustainable and resilient urban water systems, providing valuable decision support for long-term infrastructure planning and resource allocation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17321579
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart IoT infrastructure for urban water pipeline networks: A data engineering approach to proactive maintenance

Zenodo (CERN European Organization for Nuclear Research)
Water Systems and Optimization
article

Smart IoT infrastructure for urban water pipeline networks: A data engineering approach to proactive maintenance

article en

Abstract

This comprehensive framework for implementing smart IoT infrastructure in urban water pipeline monitoring systems integrates thousands of distributed sensors measuring critical parameters with a robust data engineering pipeline that enables real-time processing and analysis. By leveraging streaming technologies, columnar databases, and advanced analytics algorithms, the system facilitates anomaly detection, predictive maintenance, and operational optimization across extensive urban networks. The data-driven approach allows utility managers to transition from reactive to proactive infrastructure management, significantly reducing emergency repairs while improving service reliability. Through visualization dashboards and automated alert systems, stakeholders gain unprecedented visibility into network health and performance trends. The findings suggest that such smart infrastructure implementations not only enhance operational efficiency but also contribute to more sustainable and resilient urban water systems, providing valuable decision support for long-term infrastructure planning and resource allocation.

Zenodo (CERN European Organization for Nuclear Research)
Rite Aid (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Water Systems and Optimization
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