Intelligent Application for Detection of Departure of Mooring Angle (IDDOMA)

Beserdin, Nur Amirah (2019) Intelligent Application for Detection of Departure of Mooring Angle (IDDOMA). [Final Year Project] (Submitted)

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Abstract

This project focuses on to design a generic captures, analyze and evaluate of failure
departure of mooring lines angle by using image processing. The system that can analyze
and detect whether there are obvious shift of mooring lines that effect the departure angle
with 4 camera photographs from a different angle from the top of the ship which is, two at
the front of the ship and the other two from the back. The camera will be set up at the
highest location on the ship to capture the overall view of the mooring lines angle. The
main challenges that PETRONAS is currently facing is inability to effectively identify the
movement of the mooring departure angle which will usually change depending on the
environmental factor such as wind, wave and heavy storm and it will affect the crude
product unloading processes where this was raised as an area of improvement after the
recent Pabuk Typhoon incident that happened in early January 2019. Mooring system refers
to a permanent structure to which a marine vessel will be secured. Moorings system is
widely used in offshore and oil and gas industry especially to offload hydrocarbon liquid
cargo that is not feasible to be at normal port or harbor due to the huge size of tankers and
vessels. Refer to reality modelling similar to those by Bentley System called Context
Capture is envisioned to be used as a mooring line and departure angles shift monitoring
system as simple as taking a normal photograph from a hand-held camera, smartphones,
tablet and even drones. By having this reality modelling to survey and monitor mooring
line departure angle it will enhance the monitoring activity by providing accurate shift or
tension deviation at a faster rate and thus accelerate decision making especially during
adverse weather compared to current method that is only through tension detection. This
type of monitoring has not been widely used yet especially for offshore industry and it is a
great technology enhancement opportunity for PETRONAS to venture in line with global
change nowadays towards image processing.

Item Type: Final Year Project
Subjects: Q Science > Q Science (General)
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 09 Sep 2021 14:19
Last Modified: 09 Sep 2021 14:19
URI: http://utpedia.utp.edu.my/id/eprint/20844

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