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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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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