Water Monitoring System Using Remote-Control Boat

Authors

  • Mohamed Shazwan Mohamed Aslam Universiti Tun Hussein Onn Malaysia Author
  • Hasliza Hassan Universiti Tun Hussein Onn Malaysia Author

Keywords:

Water Quality Monitoring, RC Boat, Internet of Things (IoT), Turbidity Sensor, Temperature Sensor, TDS Sensor, ESP32, ThingSpeak, Blynk

Abstract

Water is an indispensable resource in the food industry, fundamental to various processes such as ingredient mixing, cleaning, and cooling. Ensuring the quality of this water is paramount for upholding food safety standards and adhering to regulatory requirements. Conventional methods of water quality monitoring, which typically involve manual sampling and laboratory analysis, are often laborious, time-consuming, and only offer a static snapshot of water conditions. These limitations become particularly challenging when monitoring large water bodies like reservoirs and treatment tanks, where comprehensive coverage is difficult to achieve. The lack of automation and real-time feedback in existing systems can lead to delayed detection of contaminants,
resulting in costly recalls, regulatory penalties, and damage to a company's reputation, especially in an industry where minor contamination can have severe consequences, such as foodborne illnesses. This project addresses these critical challenges by proposing a remote-controlled (RC) boat-based water quality monitoring system integrated with Internet of Things (IoT) technology. The system utilizes a combination of turbidity, Total Dissolved Solids (TDS), and temperature sensors to measure key water quality parameters, transmitting real-time data to a mobile application for remote oversight. The RC boat facilitates data collection from multiple points within a water body, significantly improving monitoring coverage and accuracy compared to static sensors. This innovative solution seeks to enhance water monitoring efficiency in the food industry, mitigate contamination risks, and ensure compliance with food safety regulations.

Downloads

Published

16-10-2025

Issue

Section

Mechanical, Manufacturing, and Process Technology

How to Cite

Mohamed Aslam, M. S., & Hasliza Hassan. (2025). Water Monitoring System Using Remote-Control Boat. Progress in Engineering Application and Technology, 6(2), 132-140. https://penerbit.uthm.edu.my/periodicals/index.php/peat/article/view/21033