Development of Cloud-based Water QualityMonitoring System

Authors

  • Muhammad Saqib Bukhair Electrical Engineering Department, Government College University, Lahore, 54000, Pakistan Author
  • Syed Muhammad Tufail Electrical Engineering Department, Government College University, Lahore, 54000, Pakistan Author
  • Sikander Sultan Electrical Engineering Department, Government College University, Lahore, 54000, Pakistan Author
  • Mubashir Zafar Ansari Electrical Engineering Department, Government College University, Lahore, 54000, Pakistan Author

DOI:

https://doi.org/10.57041/c8385f16

Keywords:

Cloud-based services, public health, water quality

Abstract

Water quality is paramount for sustaining life and maintaining ecological balance. However, traditional monitoring methods often must improve by providing real-time and comprehensive information. The developed systems show a cloud-based water quality monitoring system that overcomes the drawbacks of conventional approaches. The system allows numerous users to collect, store, and retrieve real-time data by combining sensors, an ESP32 microcontroller, Google Firebase Cloud, and a mobile application. The prototype illustrates the viability of using cloud computing to monitor water quality accurately and thoroughly. This effort advances the field by highlighting water quality is importance to supporting ecosystems and life. It highlights the system's contribution to allowing proactive decision-making and quick solutions to water quality challenges while outlining potential directions for future advancements in sensor calibration, testing in various water bodies, and cutting-edge data analytics methods. The cloud-based system for monitoring water quality has uses in various fields, such as environmental management, public health, and water resource conservation. It makes it easier to make educated decisions and take preventative action to preserve water quality and sustainability.

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Published

2023-06-30

How to Cite

Development of Cloud-based Water QualityMonitoring System. (2023). Journal of Artificial Intelligence and Computing, 1(1), 23-29. https://doi.org/10.57041/c8385f16

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