Design and Implementation of a Cloud-Based Water Environment Monitoring System Using Internet of Things

To address the limitations of conventional water monitoring methods in terms of temporal resolution and operational complexity, a cloud-based water environment monitoring system based on the Internet of Things is proposed. The system adopts STM32 microcontroller and is equipped with various parameter sensors to achieve real-time monitoring of water environment indicators such as pH value, water temperature, redox potential, and total dissolved solids. The data is collected using multi-point collection technology and transmitted to the cloud platform through a wireless network to ensure the real-time and accuracy of monitoring data. By deploying monitoring systems, the timeliness and simplicity of water environment monitoring can be effectively improved, providing technical support for rapid response and treatment of water pollution.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/iccea65460.2025.11102332
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Design and Implementation of a Cloud-Based Water Environment Monitoring System Using Internet of Things

Lingfei Zhang, Mingyu Zhao, Bohang Chen, Z. G. Zhao et al.
Water Quality Monitoring Technologies
article

Design and Implementation of a Cloud-Based Water Environment Monitoring System Using Internet of Things

Lingfei Zhang, Mingyu Zhao, Bohang Chen, Z. G. Zhao, Yangyang Chen
article en

Abstract

To address the limitations of conventional water monitoring methods in terms of temporal resolution and operational complexity, a cloud-based water environment monitoring system based on the Internet of Things is proposed. The system adopts STM32 microcontroller and is equipped with various parameter sensors to achieve real-time monitoring of water environment indicators such as pH value, water temperature, redox potential, and total dissolved solids. The data is collected using multi-point collection technology and transmitted to the cloud platform through a wireless network to ensure the real-time and accuracy of monitoring data. By deploying monitoring systems, the timeliness and simplicity of water environment monitoring can be effectively improved, providing technical support for rapid response and treatment of water pollution.

Qinghai University (CN)
Clean water and sanitation
Openalex Percentile: Top 80%
Water Quality Monitoring Technologies
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