Autonomous Water Quality Monitoring and Water Surface Cleaning for Unmanned Surface Vehicle

被引:31
|
作者
Chang, Hsing-Cheng [1 ]
Hsu, Yu-Liang [1 ]
Hung, San-Shan [1 ]
Ou, Guan-Ru [1 ]
Wu, Jia-Ron [1 ]
Hsu, Chuan [1 ]
机构
[1] Feng Chia Univ FCU, Dept Automat Control Engn, 100 Wenhwa Rd, Taichung 40724, Taiwan
关键词
unmanned surface vehicle; navigation; obstacle avoidance; water quality monitoring; water surface cleaning; remote navigation control;
D O I
10.3390/s21041102
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Water is one of the most precious resources. However, industrial development has made water pollution a critical problem today and thus water quality monitoring and surface cleaning are essential for water resource protection. In this study, we have used the sensor fusion technology as a basis to develop a multi-function unmanned surface vehicle (MF-USV) for obstacle avoidance, water-quality monitoring, and water surface cleaning. The MF-USV comprises a USV control unit, a locomotion module, a positioning module, an obstacle avoidance module, a water quality monitoring system, a water surface cleaning system, a communication module, a power module, and a remote human-machine interface. We equip the MF-USV with the following functions: (1) autonomous obstacle detection, avoidance, and navigation positioning, (2) water quality monitoring, sampling, and positioning, (3) water surface detection and cleaning, and (4) remote navigation control and real-time information display. The experimental results verified that when the floating garbage located in the visual angle ranged from -30 degrees to 30 degrees on the front of the MF-USV and the distances between the floating garbage and the MF-USV were 40 and 70 cm, the success rates of floating garbage detection are all 100%. When the distance between the floating garbage and the MF-USV was 130 cm and the floating garbage was located on the left side (15 degrees similar to 30 degrees), left front side (0 degrees similar to 15 degrees), front side (0 degrees), right front side (0 degrees similar to 15 degrees), and the right side (15 degrees similar to 30 degrees), the success rates of the floating garbage collection were 70%, 92%, 95%, 95%, and 75%, respectively. Finally, the experimental results also verified that the applications of the MF-USV and relevant algorithms to obstacle avoidance, water quality monitoring, and water surface cleaning were effective.
引用
收藏
页码:1 / 21
页数:21
相关论文
共 50 条
  • [21] An autonomous surface vehicle for water quality measurements in a lake using MQTT protocol
    Arzamendia, Mario
    Britez, David
    Recalde, Gustavo
    Gomez, Victor
    Santacruz, Maira
    Gregor, Derlis
    Gutierrez, Daniel
    Toral, Sergio
    Cuellar, Francisco
    [J]. 2021 IEEE CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (IEEE CHILECON 2021), 2021, : 794 - 798
  • [22] IoT Based Real-Time Water Quality Monitoring and Visualization System Using an Autonomous Surface Vehicle
    Beshah, Wondimagegn T.
    Moorhead, Jane
    Dash, Padmanava
    Moorhead, Robert J.
    Herman, James
    Sankar, M. S.
    Chesser, Daniel
    Lowe, Wes
    Simmerman, Jessica
    Turnage, Gray
    [J]. OCEANS 2021: SAN DIEGO - PORTO, 2021,
  • [23] Unmanned surface vehicle for intelligent water quality assessment to promote sustainable human health
    Qadir, Muhammad Ibtsaam
    Mumtaz, Rafia
    Manzoor, Mariam
    Saleem, Misbah
    Khan, Muhammad Ajmal
    Charlesworth, Susanne
    [J]. Water Supply, 2024, 27 (07) : 2259 - 2270
  • [24] Object Tracking for an Autonomous Unmanned Surface Vehicle
    Lee, Min-Fan Ricky
    Lin, Chin-Yi
    [J]. MACHINES, 2022, 10 (05)
  • [25] The Mobile Water Quality Monitoring System Based on Low-Power Wide Area Network and Unmanned Surface Vehicle
    Chen, Wei
    Hao, Xiao
    Yan, Kui
    Lu, JianRong
    Liu, Jin
    He, ChenYu
    Zhou, Feng
    Xu, Xin
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2021, 2021
  • [26] Autonomous Surface Vehicle for Measuring Water Body Parameters
    Gutierrez, Joaquin
    Villa-Medina, Francisco
    Angel Porta-Gandara, Miguel
    [J]. 2010 IEEE ELECTRONICS, ROBOTICS AND AUTOMOTIVE MECHANICS CONFERENCE (CERMA 2010), 2010, : 552 - 556
  • [27] Tracking and remote monitoring of an autonomous underwater vehicle using an unmanned surface vehicle in the Trondheim fjord
    Norgren, Petter
    Ludvigsen, Martin
    Ingebretsen, Thomas
    Hovstein, Vegard Evjen
    [J]. OCEANS 2015 - MTS/IEEE WASHINGTON, 2015,
  • [28] Maximizing Water Surface Target Localization Accuracy Under Sunlight Reflection with an Autonomous Unmanned Aerial Vehicle
    Hyukseong Kwon
    Josiah Yoder
    Stanley Baek
    Scott Gruber
    Daniel Pack
    [J]. Journal of Intelligent & Robotic Systems, 2014, 74 : 395 - 411
  • [29] Maximizing Water Surface Target Localization Accuracy Under Sunlight Reflection with an Autonomous Unmanned Aerial Vehicle
    Kwon, Hyukseong
    Yoder, Josiah
    Baek, Stanley
    Gruber, Scott
    Pack, Daniel
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2014, 74 (1-2) : 395 - 411
  • [30] A Novel Autonomous Flotation Vehicle for Continuous Water Quality Monitoring
    Siddaraju
    [J]. SUSTAINABLE COMMUNICATION NETWORKS AND APPLICATION, ICSCN 2021, 2022, 93 : 187 - 196