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Development of an Intelligent Water Pollutant Prediction Robot Assisted by Wireless Transmission Control

Ridwan Siskandar

2025enwater pollutionintelligent robotwireless controlfuzzy logicmicrocontrollerwater quality monitoring

Abstract

Language:

This research develops an intelligent robot for predicting water pollution levels in freshwater micro-waterscapes, addressing limitations of conventional and IoT-based monitoring systems in terms of labor, time, and spatial coverage. The robot uses a hovercraft platform controlled via radio-frequency (Fs‑iA6) remote control and is powered by a 7.5 V 2S LiPo battery. Water quality parameters (pH, TDS, and temperature) are measured by sensors connected to Arduino-based microcontrollers, and the data are transmitted wirelessly using LoRa Ebyte E32 without internet access. A Mamdani fuzzy logic system processes the sensor inputs to estimate the percentage of water pollution and classify conditions as good, moderate, or poor. The robot, measuring 20 cm × 52.3 cm × 20.9 cm and weighing 5 kg, can operate for 20 minutes, with a control range up to 500 m and data transmission range up to 2 km. Performance tests indicate a sensor error tolerance of about 2% and accurate prediction of pollution levels, demonstrating the system’s reliability for environmental monitoring.

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Cite This Work

@article{6dd1b8fe-2856-424e-9602-889009104fb8,
  title={Development of an Intelligent Water Pollutant Prediction Robot Assisted by  Wireless Transmission Control  },
  author={Ridwan Siskandar},
  year={2025},
  language={en}
}
TY  - JOUR
TI  - Development of an Intelligent Water Pollutant Prediction Robot Assisted by  Wireless Transmission Control  
AU  - Ridwan Siskandar
PY  - 2025
LA  - en
ER  -

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