Smart IoT infrastructure for urban water pipeline networks: A data engineering approach to proactive maintenance
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| Format: | Recurso digital |
| Language: | English |
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Zenodo
2025
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| _version_ | 1866901773282705408 |
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| author | Appalapuram, Venkata Surendra Reddy |
| author_facet | Appalapuram, Venkata Surendra Reddy |
| contents | <p>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.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17321579 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Smart IoT infrastructure for urban water pipeline networks: A data engineering approach to proactive maintenance Appalapuram, Venkata Surendra Reddy IoT Sensor Networks Predictive Maintenance Water Infrastructure Real-Time Analytics Urban Resilience <p>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.</p> |
| title | Smart IoT infrastructure for urban water pipeline networks: A data engineering approach to proactive maintenance |
| topic | IoT Sensor Networks Predictive Maintenance Water Infrastructure Real-Time Analytics Urban Resilience |
| url | https://doi.org/10.5281/zenodo.17321579 |