| Issue |
BIO Web Conf.
Volume 89, 2024
The 4th Sustainability and Resilience of Coastal Management (SRCM 2023)
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 9 | |
| Section | Environmental Monitoring and Sustainability | |
| DOI | https://doi.org/10.1051/bioconf/20248901013 | |
| Published online | 23 January 2024 | |
Autonomous Design of a Green Sea-Cleaner Boat
1 Universiti Malaysia Terengganu, Malaysia
2 Universiti Malaysia Terengganu, Malaysia
3 Institut Teknologi Sepuluh Nopember, Indonesia
4 Universitas Hasanuddin, Indonesia
5 PT. Bahtera Tangguh Indonesia, Surabaya - Indonesia
1 Corresponding author: orgnaoe.afit@gmail.com
This paper addresses the urgent global issue of marine pollution, with a focus on the inadequacies of traditional cleanup methods and the promising potential of an autonomous green sea-cleaner boat. The study presents a sea-cleaner boat design with reduced wake-wash, integrated with an autonomous system using visual equipment and LiDAR sensors for precise navigation and debris identification. Parametric studies of catamaran hull configurations show that the Flat-Outside Model exhibits the lowest wave elevation, indicating reduced hydrodynamic force and wake-wash, making it an environmentally preferable option. Additionally, the sea-cleaner boat employs LiDAR for obstacle detection and a camera with a Convolutional Neural Network for efficient debris identification and collection, enhancing operational safety and efficiency. Overall, the autonomous green sea-cleaner boat represents a significant advancement in maritime environmental conservation.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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