Cover Image

Optimizing Fire Detector Placement in Process Plant Using Boolean Techniques

In oil and gas industry, fire outbreak is one of the main accidents in onshore and offshore facilities. The damage caused by the fire could be minimal or extensive, hence the Fire and Gas Detection Systems are critical systems used to safeguard hazardous area in process plant. Such systems are in...

Full description

Saved in:
Bibliographic Details
Main Author: KHALID MOHAMED, MOHAMED ISMAIL
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2011
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/8264/1/2011%20-%20Optimizing%20fire%20detector%20placement%20in%20process%20plant%20using%20boolean%20techniques.pdf
http://utpedia.utp.edu.my/8264/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utp-utpedia.8264
record_format eprints
spelling my-utp-utpedia.82642017-01-25T09:41:37Z http://utpedia.utp.edu.my/8264/ Optimizing Fire Detector Placement in Process Plant Using Boolean Techniques KHALID MOHAMED, MOHAMED ISMAIL TK Electrical engineering. Electronics Nuclear engineering In oil and gas industry, fire outbreak is one of the main accidents in onshore and offshore facilities. The damage caused by the fire could be minimal or extensive, hence the Fire and Gas Detection Systems are critical systems used to safeguard hazardous area in process plant. Such systems are installed to protect lives, enviromnent, monetary assets and reputation of the company. The main concern of fire detection system is to provide adequate number of detectors that scan through an enclose hydrocarbon processing area which consists of hazardous equipment. In reality, it may be impossible to build a fire detection system that cover the whole plant and detect all possible hazardous scenarios. Therefore, this project attempts to solve this problem and improve the fire detection system by developing software that will optimize the fire detectors location on 2.5 dimensions in order to find the optimum coverage that will achieve the desired level of protection taking into account Hazard Map. MAT ALB was used to develop the software based on Image Processing and Boolean Techniques. In fact, this project has valuable contribution and useful solution to oil and gas industries Universiti Teknologi Petronas 2011-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/8264/1/2011%20-%20Optimizing%20fire%20detector%20placement%20in%20process%20plant%20using%20boolean%20techniques.pdf KHALID MOHAMED, MOHAMED ISMAIL (2011) Optimizing Fire Detector Placement in Process Plant Using Boolean Techniques. Universiti Teknologi Petronas. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
KHALID MOHAMED, MOHAMED ISMAIL
Optimizing Fire Detector Placement in Process Plant Using Boolean Techniques
description In oil and gas industry, fire outbreak is one of the main accidents in onshore and offshore facilities. The damage caused by the fire could be minimal or extensive, hence the Fire and Gas Detection Systems are critical systems used to safeguard hazardous area in process plant. Such systems are installed to protect lives, enviromnent, monetary assets and reputation of the company. The main concern of fire detection system is to provide adequate number of detectors that scan through an enclose hydrocarbon processing area which consists of hazardous equipment. In reality, it may be impossible to build a fire detection system that cover the whole plant and detect all possible hazardous scenarios. Therefore, this project attempts to solve this problem and improve the fire detection system by developing software that will optimize the fire detectors location on 2.5 dimensions in order to find the optimum coverage that will achieve the desired level of protection taking into account Hazard Map. MAT ALB was used to develop the software based on Image Processing and Boolean Techniques. In fact, this project has valuable contribution and useful solution to oil and gas industries
format Final Year Project
author KHALID MOHAMED, MOHAMED ISMAIL
author_facet KHALID MOHAMED, MOHAMED ISMAIL
author_sort KHALID MOHAMED, MOHAMED ISMAIL
title Optimizing Fire Detector Placement in Process Plant Using Boolean Techniques
title_short Optimizing Fire Detector Placement in Process Plant Using Boolean Techniques
title_full Optimizing Fire Detector Placement in Process Plant Using Boolean Techniques
title_fullStr Optimizing Fire Detector Placement in Process Plant Using Boolean Techniques
title_full_unstemmed Optimizing Fire Detector Placement in Process Plant Using Boolean Techniques
title_sort optimizing fire detector placement in process plant using boolean techniques
publisher Universiti Teknologi Petronas
publishDate 2011
url http://utpedia.utp.edu.my/8264/1/2011%20-%20Optimizing%20fire%20detector%20placement%20in%20process%20plant%20using%20boolean%20techniques.pdf
http://utpedia.utp.edu.my/8264/
_version_ 1739831557579866112
score 13.211869

Similar Items