Remote water quality monitoring: an IoT and USV-based study

Muqi Li; Jun Chai; Chun Li

doi:10.1117/12.3014813

4 March 2024 Remote water quality monitoring: an IoT and USV-based study

Muqi Li, Jun Chai, Chun Li

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129813W (2024) https://doi.org/10.1117/12.3014813
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

Rising environmental pollution necessitates advanced water quality testing technologies. Traditional methods are giving way to innovative strategies merging sensor detection and IoT technologies, ready for deployment on Unmanned Surface Vehicles (USVs). This review delves into the expanding landscape of remote water quality testing, highlighting diverse methodologies' advantages and the use of IoT-enabled testing on USVs. Responding to urban river monitoring needs, a small USV-based cloud platform has been deployed. It remotely monitors real-time water quality indicators such as temperature, pH, conductivity, TDS, and turbidity. Utilizing IoT, it allows remote operation and real-time data transmission to the networked LabVIEW instrument. This facilitates instant data access and analysis, providing a comprehensive view of the Qianshan River Basin water quality. The platform's innovative design offers a scientific basis for improving the river basin's water quality and environment.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Muqi Li, Jun Chai, and Chun Li "Remote water quality monitoring: an IoT and USV-based study", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129813W (4 March 2024); https://doi.org/10.1117/12.3014813

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