Development of Unmanned Surface Vehicles System for Water Quality Inspection

Wenxuan Guo, Yusen Tang, Jianjun Wang

2022

Abstract

In recent years, the problem of water pollution has attracted wide attention all over the world. To strengthen water quality monitoring, a water quality inspection system for Unmanned Surface Vehicles (USV) based on the Internet of Things (IoT) was designed. The system uses the Message Queuing Telemetry Transport (MQTT) protocol to construct the boat-cloud-shore communication link. Design the terminal system of the USV to realize state perception, motion control, and data sharing. The mobile client is developed based on the Android platform, which supports real-time monitoring and remote control of the USV. Automatic control of USV movement and real-time monitoring of water quality is realized. After the actual water surface trial, the communication of the system is stable, with manual remote control, fixed-point inspection, independent cruise, and other functions, which verify the feasibility of the system design.

Paper Citation

in Harvard Style

Guo W., Tang Y. and Wang J. (2022). Development of Unmanned Surface Vehicles System for Water Quality Inspection. In Proceedings of the 3rd International Symposium on Water, Ecology and Environment - Volume 1: ISWEE; ISBN 978-989-758-639-2, SciTePress, pages 21-28. DOI: 10.5220/0011887000003536

in Bibtex Style

@conference{iswee22,
author={Wenxuan Guo and Yusen Tang and Jianjun Wang},
title={Development of Unmanned Surface Vehicles System for Water Quality Inspection},
booktitle={Proceedings of the 3rd International Symposium on Water, Ecology and Environment - Volume 1: ISWEE},
year={2022},
pages={21-28},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011887000003536},
isbn={978-989-758-639-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Water, Ecology and Environment - Volume 1: ISWEE
TI - Development of Unmanned Surface Vehicles System for Water Quality Inspection
SN - 978-989-758-639-2
AU - Guo W.
AU - Tang Y.
AU - Wang J.
PY - 2022
SP - 21
EP - 28
DO - 10.5220/0011887000003536
PB - SciTePress