An IoT-Based Autonomous System for Oil Spill Detection

Authors

  • S.M. Masudur Rahman Department of Electrical and Electronics Engineering, American International University-Bangladesh (AIUB), Dhaka, Bangladesh
  • Md. Shihab Sharar Oyon Department of Electrical and Electronics Engineering, American International University-Bangladesh (AIUB), Dhaka, Bangladesh
  • Abir Ahmed Department of Computer Engineering, American International University-Bangladesh (AIUB), Dhaka, Bangladesh
  • Istiaque Ahamed Department of Electrical and Electronics Engineering, American International University-Bangladesh (AIUB), Dhaka, Bangladesh
  • Md. Rifat Hazari Department of Electrical and Electronics Engineering, American International University-Bangladesh (AIUB), Dhaka, Bangladesh

DOI:

https://doi.org/10.46604/emsi.2024.13760

Keywords:

Oil Skimmer, Crude Oil, TDS Sensor, Automatic Cleaner

Abstract

Oil is a vital global energy source, yet oil spills pose severe threats to marine and human life, causing significant economic, environmental, and social impacts. The dense consistency of crude oil complicates the cleanup of oceans and seabeds. To address this issue, an autonomous system utilizing IoT technology has been developed to efficiently remove crude oil debris from water surfaces. This innovative system skims the oil layer and simplifies the cleanup process. Performance tests at a constant rotary speed of 18 rpm shows an average removal rate of 107.88 ml/min of oil. They are increasing the number of rotary discs notably improved efficiency, doubling the oil collection with each additional disc. Leveraging IoT technology allows remote operation and real-time data monitoring via a mobile app. This solution offers a sustainable and eco-friendly approach to oil spill cleanup, making it particularly valuable for Bangladesh's context due to its viability and cost-effectiveness.

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Published

2024-09-25

How to Cite

S.M. Masudur Rahman, Md. Shihab Sharar Oyon, Abir Ahmed, Istiaque Ahamed, & Md. Rifat Hazari. (2024). An IoT-Based Autonomous System for Oil Spill Detection. Emerging Science Innovation, 4, 41–55. https://doi.org/10.46604/emsi.2024.13760

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Articles