Development of Autonomous Electric USV for Water Quality Detection
With the rise of industry, river pollution has become increasingly severe. Countries worldwide now face the challenge of effectively and promptly detecting river pollution. Traditional river detection methods rely on manual sampling and subsequent data analysis at various sampling sites, requiring s...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/12/3747 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849431624449523712 |
|---|---|
| author | Chiung-Hsing Chen Yi-Jie Shang Yi-Chen Wu Yu-Chen Lin |
| author_facet | Chiung-Hsing Chen Yi-Jie Shang Yi-Chen Wu Yu-Chen Lin |
| author_sort | Chiung-Hsing Chen |
| collection | DOAJ |
| description | With the rise of industry, river pollution has become increasingly severe. Countries worldwide now face the challenge of effectively and promptly detecting river pollution. Traditional river detection methods rely on manual sampling and subsequent data analysis at various sampling sites, requiring significant time and labor costs. This article proposes using an electric unmanned surface vehicle (USV) to replace manual river and lake water quality detection, utilizing a 2.4 G high-power wireless data transmission system, an M9N GPS antenna, and an automatic identification system (AIS) to achieve remote and unmanned control. The USV is capable of autonomously navigating along pre-defined routes and conducting water quality measurements without human intervention. The water quality detection system includes sensors for pH, dissolved oxygen (DO), electrical conductivity (EC), and oxidation-reduction potential (ORP). This design uses a modular structure, it is easy to maintain, and it supports long-range wireless communication. These features help to reduce operational and maintenance costs in the long term. The data produced using this method effectively reflect the current state of river water quality and indicate whether pollution is present. Through practical testing, this article demonstrates that the USV can perform precise positioning while utilizing AIS to identify potential surrounding collision risks for the remote planning of water quality detection sailing routes. This autonomous approach enhances the efficiency of water sampling in rivers and lakes and significantly reduces labor requirements. At the same time, this contributes to the achievement of the United Nations Sustainable Development Goals (SDG 14), “Life Below Water”. |
| format | Article |
| id | doaj-art-4b5444f0ab534ac389e38b065ae2a42c |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-4b5444f0ab534ac389e38b065ae2a42c2025-08-20T03:27:36ZengMDPI AGSensors1424-82202025-06-012512374710.3390/s25123747Development of Autonomous Electric USV for Water Quality DetectionChiung-Hsing Chen0Yi-Jie Shang1Yi-Chen Wu2Yu-Chen Lin3Department of Telecommunication Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 811213, TaiwanEnergy and Agile System Department, Metal Industries Research & Development Centre, Kaohsiung 852005, TaiwanDepartment of Telecommunication Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 811213, TaiwanDepartment of Telecommunication Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 811213, TaiwanWith the rise of industry, river pollution has become increasingly severe. Countries worldwide now face the challenge of effectively and promptly detecting river pollution. Traditional river detection methods rely on manual sampling and subsequent data analysis at various sampling sites, requiring significant time and labor costs. This article proposes using an electric unmanned surface vehicle (USV) to replace manual river and lake water quality detection, utilizing a 2.4 G high-power wireless data transmission system, an M9N GPS antenna, and an automatic identification system (AIS) to achieve remote and unmanned control. The USV is capable of autonomously navigating along pre-defined routes and conducting water quality measurements without human intervention. The water quality detection system includes sensors for pH, dissolved oxygen (DO), electrical conductivity (EC), and oxidation-reduction potential (ORP). This design uses a modular structure, it is easy to maintain, and it supports long-range wireless communication. These features help to reduce operational and maintenance costs in the long term. The data produced using this method effectively reflect the current state of river water quality and indicate whether pollution is present. Through practical testing, this article demonstrates that the USV can perform precise positioning while utilizing AIS to identify potential surrounding collision risks for the remote planning of water quality detection sailing routes. This autonomous approach enhances the efficiency of water sampling in rivers and lakes and significantly reduces labor requirements. At the same time, this contributes to the achievement of the United Nations Sustainable Development Goals (SDG 14), “Life Below Water”.https://www.mdpi.com/1424-8220/25/12/3747unmanned surface vehiclewater quality detectionautomatic identification systemprecise positioning |
| spellingShingle | Chiung-Hsing Chen Yi-Jie Shang Yi-Chen Wu Yu-Chen Lin Development of Autonomous Electric USV for Water Quality Detection Sensors unmanned surface vehicle water quality detection automatic identification system precise positioning |
| title | Development of Autonomous Electric USV for Water Quality Detection |
| title_full | Development of Autonomous Electric USV for Water Quality Detection |
| title_fullStr | Development of Autonomous Electric USV for Water Quality Detection |
| title_full_unstemmed | Development of Autonomous Electric USV for Water Quality Detection |
| title_short | Development of Autonomous Electric USV for Water Quality Detection |
| title_sort | development of autonomous electric usv for water quality detection |
| topic | unmanned surface vehicle water quality detection automatic identification system precise positioning |
| url | https://www.mdpi.com/1424-8220/25/12/3747 |
| work_keys_str_mv | AT chiunghsingchen developmentofautonomouselectricusvforwaterqualitydetection AT yijieshang developmentofautonomouselectricusvforwaterqualitydetection AT yichenwu developmentofautonomouselectricusvforwaterqualitydetection AT yuchenlin developmentofautonomouselectricusvforwaterqualitydetection |