DEVELOPMENT OF IOT-BASED WATER SURFACE WASTE COLLECTING ROBOT

Authors

  • SIAW WEE BONG a:1:{s:5:"en_US";s:64:"Department of Electrical Engineering, Politeknik Mukah, Sarawak.";}

Keywords:

Urbanization, ESP32, Solid waste production, Robot, Internet of Things.

Abstract

The rapid urbanization and population growth have resulted in a surge in solid waste production, presenting a critical threat to both the environment and public health. The haphazard disposal of solid waste into rivers has led to increased pollution, disrupted ecosystems, and posed health hazards for communities residing near these water bodies. Traditional river cleanup methods are often intricate, time-consuming, and expensive, struggling to keep pace with the scale of pollution. In response to these challenges, an Internet of Things (IoT)-based Water Surface Waste Collecting Robot was proposed and developed in this research. The primary aim of this project is to design and develop an efficient water surface cleaning robot that can navigate water bodies autonomously. The robot is designed with a robust chassis and motorized wheels for mobility, and trash collection mechanisms with two motors. An IoT platform is integrated for remote monitoring and control of the robot. The developed Water Surface Waste Collecting Robot successfully navigates rivers and collects solid waste, offering real-time monitoring and control through the IoT platform, enhancing efficiency and reducing the need for human intervention. The project's implementation demonstrated the feasibility of utilizing IoT technology and robotics to address river pollution. The robot's autonomous operation and remote control capabilities reduce human exposure to hazardous cleaning environments. The IoT-based river cleaning robot presents a promising solution to the persistent problem of water pollution caused by improper waste disposal. Its efficient operation and remote monitoring capabilities make it a viable tool for environmental conservation and public health. To further improve the system, future work should focus on enhancing the robot's waste collection efficiency, optimizing power consumption, and implementing machine learning algorithms for advanced obstacle avoidance.

Downloads

Published

05-11-2024

How to Cite

BONG, S. W. (2024). DEVELOPMENT OF IOT-BASED WATER SURFACE WASTE COLLECTING ROBOT. MALAYSIAN JOURNAL OF INNOVATION IN ENGINEERING AND APPLIED SOCIAL SCIENCES (MYJIEAS), 4(01), 12–20. Retrieved from http://myjieas.psa.edu.my/index.php/myjieas/article/view/52