Smart Water Management Systems: Leveraging IoT and Machine Learning for Sustainable Urban Development

Authors

  • Prof. Lee Sui

Abstract

With the increasing demand for water resources in urban areas, efficient water management has become a critical challenge. This paper presents a smart water management system that integrates Internet of Things (IoT) devices with machine learning algorithms to optimize water distribution and minimize wastage. Real-time data from IoT sensors installed in pipelines and reservoirs are analyzed to predict consumption patterns and detect leakages. Our experiments in a controlled urban environment show a 15% reduction in water wastage and improved resource allocation. The proposed system demonstrates a scalable solution for sustainable urban water management.

References

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Published

2020-05-16

Issue

Section

Articles