Aqua Optimize Transformation of Water Management With Cloud-Powered Efficiency

  • G. Ignisha Rajathi*
  • , L. R. Priya
  • , R. Vedhapriyavadhana
  • , K. Deepthyka
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Effective water quality monitoring is crucial to ensuring the sustainability and safety of water resources, particularly in fields such as municipal water management, aquaculture, and agriculture. Traditional methods often result in water wastage, environmental degradation, and public health risks due to delayed responses and manual inefficiencies. With the rising focus on sustainable resource management and the impacts of climate change, there is a pressing need for innovative solutions that enable real-time water quality assessment. This research presents an Internet of Things (IoT)-based water quality monitoring system that connects multiple sensors to cloud-based platforms for continuous data analysis. The system monitors key parameters - temperature, flow rate, pH, and water depth - and transmits data using the MQTT protocol to visualization tools like Grafana and Power BI. These tools provide stakeholders with interactive dashboards, displaying real-time water quality trends, anomalies, and alerts for immediate action. The system recommends scalability to adapt a range of industrial applications, providing a cost-effective solution for both small and large-scale water management needs, based on its modularity. Compared to traditional methods, the proposed system improves water quality assessment accuracy, reducing human error and manual inefficiencies by over 30%. Cloud-based data storage and visualization reduce processing times by 40%, while the automated alert system accelerates response times by 25%, allowing prompt interventions when water quality falls below critical thresholds. The system's adaptable, modular architecture allows for seamless integration with existing water management frameworks in urban water distribution, wastewater treatment, and agriculture. This research demonstrates the system's potential to enhance water resource management, lower operational costs, and promote environmental sustainability across diverse sectors.

    Original languageEnglish
    Title of host publicationIEEE International Conference on Modeling, Simulation and Intelligent Computing, MoSICom 2024 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages501-506
    Number of pages6
    ISBN (Electronic)9798331533311
    DOIs
    Publication statusPublished - 2024
    Event2024 IEEE International Conference on Modeling, Simulation and Intelligent Computing, MoSICom 2024 - Dubai, United Arab Emirates
    Duration: 09-12-202411-12-2024

    Publication series

    NameIEEE International Conference on Modeling, Simulation and Intelligent Computing, MoSICom 2024 - Proceedings

    Conference

    Conference2024 IEEE International Conference on Modeling, Simulation and Intelligent Computing, MoSICom 2024
    Country/TerritoryUnited Arab Emirates
    CityDubai
    Period09-12-2411-12-24

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Science Applications
    • Energy Engineering and Power Technology
    • Electrical and Electronic Engineering
    • Modelling and Simulation
    • Instrumentation

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