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Journal of Microelectronics and Solid State Devices Review Article

IoT and Autonomous RC Boats for Water Quality Assessment: Trends, Challenges, and Future Prospects

  1. Balaji D Department of Electrical Engineering, Manakula Vinayagar Institute of Technology
  2. B.V. Saranya Department of Electrical Engineering, Manakula Vinayagar Institute of Technology
  3. Ragulganesh S. Department of Electrical Engineering, Manakula Vinayagar Institute of Technology

Abstract

Nowadays the application of Internet of things (IoT) increasing in many applications like drone, remote control vehicles, electrical vehicle, etc. In this paper we proposed a way to check quality of water present in vast water bodies by Remote Controlled (RC) Boat. This RC environmental monitor boat collects water quality data and sends it online via the Internet of Things. So that we maintain the water by clean from received data. It has a DC motor for propulsion attached with rudder and as per commands received from RC receiver controller operates the DC motor which rotates the propeller. Three sensors are being used here: temperature, turbidity, and pH sensors. pH sensors detect the potential of Hydrogen value, turbidity sensors to measure liquid effluent and temperature sensors to measure the water temperature respectively and we developed an RC boat prototype hardware model, and it will successfully test for water pollution monitoring. By enabling real-time data collecting, cost-effectiveness, and accessibility to hard-to-reach water bodies, the combination of the Internet of Things (IoT) with autonomous remotely controlled (RC) boats has completely changed the evaluation of water quality. This review article examines current developments in the subject, emphasizing developments in autonomous navigation systems, sensor technologies, and data analytics powered by artificial intelligence (AI). It also talks about the main issues, such as environmental adaptability, data security, and energy efficiency. The article ends with a prediction for the future, highlighting how AI, edge computing, and better materials can help IoT-driven autonomous boats become more capable of thorough water quality monitoring.

Keywords

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