UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRCU06032


Registration ID:
218107

Page Number

155-158

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Title

Autonomous Underwater Rover for Bathymetric Survey and Inspection

Abstract

In Sea Ports, the use of Tugboats and Workboats for technological inspections has an extremely limited or no scope. In order to conduct Deep Sea explorations and observations, we use an Autonomous Underwater Vehicle (AUV) / Rover which is capable of Autonomous Navigation and Realtime Data Collection, thereby obviating the need for Human intervention. The Rover can be of various sizes and is completely dependent on the underwater application. In order to make our Rover real-time and autonomous, we can model the Rover using Artificial Intelligence (AI) algorithms. The Rover can then learn autonomously using previous training data which is necessary for AI algorithms. To make our Rover mobile underwater, we use six Thrusters, two for forward / backward movement and four to maintain Stability. Also, the Rover houses the electronic components inside a Hull which is waterproof and withstands strong currents. The Rover has a Camera which is used to process the images and simultaneously update data for both Movement and Image Processing. The Depth Control and Measurement is achieved by using single - beam Echo Sounders. The Ultimate aims of the Bathymetric inspections are Depth Measurement and to Determine the minimum time interval to perform Dredging (clearing sand from the ocean bed). The Rover can also be used to measure other trivial parameters such as Flow Velocity and Water Pressure.

Key Words

In Sea Ports, the use of Tugboats and Workboats for technological inspections has an extremely limited or no scope. In order to conduct Deep Sea explorations and observations, we use an Autonomous Underwater Vehicle (AUV) / Rover which is capable of Autonomous Navigation and Realtime Data Collection, thereby obviating the need for Human intervention. The Rover can be of various sizes and is completely dependent on the underwater application. In order to make our Rover real-time and autonomous, we can model the Rover using Artificial Intelligence (AI) algorithms. The Rover can then learn autonomously using previous training data which is necessary for AI algorithms. To make our Rover mobile underwater, we use six Thrusters, two for forward / backward movement and four to maintain Stability. Also, the Rover houses the electronic components inside a Hull which is waterproof and withstands strong currents. The Rover has a Camera which is used to process the images and simultaneously update data for both Movement and Image Processing. The Depth Control and Measurement is achieved by using single - beam Echo Sounders. The Ultimate aims of the Bathymetric inspections are Depth Measurement and to Determine the minimum time interval to perform Dredging (clearing sand from the ocean bed). The Rover can also be used to measure other trivial parameters such as Flow Velocity and Water Pressure.

Cite This Article

"Autonomous Underwater Rover for Bathymetric Survey and Inspection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.155-158, May 2019, Available :http://www.jetir.org/papers/JETIRCU06032.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Autonomous Underwater Rover for Bathymetric Survey and Inspection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp155-158, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06032.pdf

Publication Details

Published Paper ID: JETIRCU06032
Registration ID: 218107
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 155-158
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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