142000-Acoustic search and detection of oil plumes.pdf (1.82 MB)
Acoustic search and detection of oil plumes using an autonomous underwater vehicle
journal contribution
posted on 2023-05-20, 19:42 authored by Hwang, J, Neil Bose, Hung NguyenHung Nguyen, Guy WilliamsWe introduce an adaptive sampling method that has been developed to support the Backseat Driver control architecture of the Memorial University of Newfoundland (MUN) Explorer autonomous underwater vehicle (AUV). The design is based on an acoustic detection and in-situ analysis program that allows an AUV to perform automatic detection and autonomous tracking of an oil plume. The method contains acoustic image acquisition, autonomous triggering, and thresholding in the search stage. A new biomimetic search pattern, the bumblebee flight path, was designed to maximize the spatial coverage in the oil plume detection phase. The effectiveness of the developed algorithm was validated through simulations using a two-dimensional planar plume model and a 90-degree scanning sensor model. The results demonstrate that the bumblebee search design combined with a genetic solution for the Traveling Salesperson Problem outperformed a conventional lawnmower survey, reducing the AUV travel distance by up to 75.3%. Our plume detection strategy, using acoustic sensing, provided data of plume location, distribution, and density, over a sector in contrast with traditional chemical oil sensors that only provide readings at a point.
History
Publication title
Journal of Marine Science and EngineeringVolume
8Issue
8Article number
618Number
618ISSN
2077-1312Department/School
Australian Maritime CollegePublisher
MDPI AGPlace of publication
SwitzerlandRights statement
Copyright 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license http://creativecommons.org/licenses/by/4.0/).Repository Status
- Open