Abstract
Autonomous Underwater Vehicles (AUVs) are unmanned, self-propelled vehicles typically deployed from a surface vessel and are capable of operating independently from that vessel for periods of several hours to several days. This project presents the development of an Autonomous Underwater Vehicle (AUV) with a pH sensor, temperature sensor, and turbidity sensor to measure the water quality. An existing method is a conventional approach, where a scientist has to go to the site and collect a water sample to measure the quality. It required more time to gather the data and lack the capability for real-time data capture. Thus, through the innovation and idea of this project, a scientist can measure the water quality in real-time, autonomously and easier than the conventional method. In this project, two thrusters control the horizontal motion of the AUV, which placed on the side of the AUV with the guidance of a digital magnetic compass to control the direction of the AUV. The vertical movement of the AUV is controlled by two thrusters located at the bottom of the AUV with the help of a depth sensor to ensure that the AUV remains submerged. A pH sensor used to detect the water quality whether the water contamination is close to acidity or alkaline or normal value. The temperature sensor is used to sense the water temperature. The turbidity sensor is used to detect the cloudiness of water, either murky water or clear water. These three sensors start operating when the microcontroller starts to power up. The AUV is tested in a G3 lake at UTHM to test its ability to stay submerged and its functionality to measure the water quality parameters. The AUV has successfully carried out the given task without requiring the interface of an operator. Future researchers can improve the AUV’s design to make the AUV works more efficiently.
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References
National Oceanic and Atmospheric Administration (2018) What is the difference between an AUV and an ROV? US Department of Commerce
Zhou B, Bian C, Tong J, Xia S (2017) Fabrication of a miniature multi-parameter sensor chip for water quality assessment. Sensors 17(12):157
Faustine A, Mvuma AN, Mongi HJ, Gabriel MC, Tenge AJ, Kucel SB (2014) Wireless sensor networks for water quality monitoring and control within lake victoria basin: prototype development. Wirel Sens Netw 6:281–290
Gunda NSK, Dasgupta S, Mitra SK (2017) DipTest: a litmus test for E. coli detection in water. PLoS ONE 12(9):1–13
Kumar SB, Shinde AH, Mehta R, Bhattacharya A, Haldar S (2018) Simple, one-step dye-based kit for bacterial contamination detection in a range of water sources. Sens Actuators B Chem 276:121–127
Komaki K, Hatta M, Okamura K, Noguchi T (2015) Development and application of chemical sensors mounting on underwater vehicles to detect hydrothermal plumes. In: 2015 IEEE underwater technology, UT
Arima M, Takeuchi A (2016) Development of an autonomous surface station for underwater passive acoustic observation of marine mammals. In: Ocean 2016, Shanghai, no. 26289339, pp 1–4
Helmi AHMA, Hafiz MM, Rizam MSBS (2014) Mobile buoy for real-time monitoring and assessment of water quality. In: Proceedings of the 2014 IEEE conference on systems, process and control, ICSPC 2014, December, pp 19–23
Prasad AN, Mamun KA, Islam FR, Haqva H (2016) Smart water quality monitoring system. In: 2015 2nd Asia-Pacific world congress on computer science and engineering, APWC CSE 2015, pp 1–6
Kafli N, Othman MZ, Isa K (2017) Unsupervised floating platform for environmental monitoring. In: Proceedings of the 2016 IEEE international conference on automatic control and intelligent systems, I2CACIS 2016, October, pp 84–89
Kafli N, Othman MZ, Isa K (2016) Development of a floating platform for measuring air and water quality. In: 2016 IEEE 6th international conference on underwater system technology: theory and applications, USYS 2016, pp 177–182
Niswar M et al (2018) IoT-based water quality monitoring system for soft-shell crab farming. In: Proceedings of the 2018 IEEE international conference on internet of things and intelligence system, IOTAIS 2018, pp 6–9
T100 Thruster - Blue Robotics. https://www.bluerobotics.com/store/thrusters/t100-t200-thrusters/t100-thruster/. Accessed 18 May 2019
Speed Controllers (ESCs) Archives - Blue Robotics. https://www.bluerobotics.com/product-category/thrusters/speed-controllers/. Accessed 18 May 2019
Nascimento S, Valdenegro-Toro M (2018) Modeling and soft-fault diagnosis of underwater thrusters with recurrent neural networks. IFAC-PapersOnLine 51(29):80–85
Introduction to Arduino Mega 2560 - The Engineering Projects. https://www.theengineeringprojects.com/2018/06/introduction-to-arduino-mega-2560.html. Accessed 18 May 2019
RobotShop (2015) Arduino Mega 2560 Datasheet. Power, pp 1–7
Wei Y, Hu X, An D (2018) Design of an intelligent pH sensor based on IEEE1451.2. IFAC-PapersOnLine 51(17):191–198
Lambrou TP, Anastasiou CC, Panayiotou CG (2010) A nephelometric turbidity system for monitoring residential drinking water quality. Springer, Berlin, Heidelberg, pp 43–55
Fast-Response, High Accuracy (± 0.1 °C) Temperature Sensor. https://www.bluerobotics.com/store/sensors-sonars-cameras/sensors/celsius-sensor-r1/. Accessed 18 May 2019
About Water Temperature. https://staff.concord.org/~btinker/GL/web/water/water_temperatures.html. Accessed 27 May 2019
US Department of Commerce, N. N. W. S. Thermocline - Temperature Fluctuations at Erie, PA
Top 10 Mistakes in pH Measurement. https://blog.hannainst.com/top-10-mistakes-in-ph-measurement. Accessed 21 May 2019
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Amran, I.Y. et al. (2021). Development of Autonomous Underwater Vehicle for Water Quality Measurement Application. In: Md Zain, Z., et al. Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019 . NUSYS 2019. Lecture Notes in Electrical Engineering, vol 666. Springer, Singapore. https://doi.org/10.1007/978-981-15-5281-6_11
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