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The Development Of An Intelligent Fire Alarm Detection System Using Fuzzy Logic: A Case Study

Fire is very dangerous and life threatening. Fire detection and alarm system are designed to provide warning about the outbreak of fire and allow appropriate fire fighting action to be taken before the situation gets worse and out of control. At the preliminary stage, this research reviews the curre...

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Main Author: Khyrina Airin Fariza, Abu Samah
Format: Thesis
Language:English
English
Published: 2010
Subjects:
T Technology (General)
TH Building construction
Online Access:http://eprints.utem.edu.my/id/eprint/13827/1/The_Development_Of_An_Intelligent_Fire_Alarm_Detection_System_Using_Fuzzy_Logic_A_Case_Study_-_24_Pages.pdf
http://eprints.utem.edu.my/id/eprint/13827/2/The_Development_Of_An_Intelligent_Fire_Alarm_Detection_System_Using_Fuzzy_Logic_A_Case_Study.pdf
http://eprints.utem.edu.my/id/eprint/13827/
http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000061117
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spelling my.utem.eprints.138272015-05-28T04:34:27Z http://eprints.utem.edu.my/id/eprint/13827/ The Development Of An Intelligent Fire Alarm Detection System Using Fuzzy Logic: A Case Study Khyrina Airin Fariza, Abu Samah T Technology (General) TH Building construction Fire is very dangerous and life threatening. Fire detection and alarm system are designed to provide warning about the outbreak of fire and allow appropriate fire fighting action to be taken before the situation gets worse and out of control. At the preliminary stage, this research reviews the current practice of detecting fire at a manufacturing company in Melaka. It is a well-known fact that high risk, damage and losses of capital will be the consequences of fire. In the fire alarm and monitoring system, the fire detector is provided with various functions. Unfortunately, the traditional fire detector does not react in the early stage of fire and is not able to differentiate between false alarm and true alarm. Due to that, fire cannot be controlled effectively and this leads to heavy losses. Therefore, through this research, the new development of intelligent fire alarm detection system using fuzzy logic has been proposed. The integration of new technologies and concepts will improve the capability of fire detection systems and enable users to discriminate between fire and non-fire threats. This will increase the time available for property and life protection. 2010 Thesis NonPeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/13827/1/The_Development_Of_An_Intelligent_Fire_Alarm_Detection_System_Using_Fuzzy_Logic_A_Case_Study_-_24_Pages.pdf application/pdf en http://eprints.utem.edu.my/id/eprint/13827/2/The_Development_Of_An_Intelligent_Fire_Alarm_Detection_System_Using_Fuzzy_Logic_A_Case_Study.pdf Khyrina Airin Fariza, Abu Samah (2010) The Development Of An Intelligent Fire Alarm Detection System Using Fuzzy Logic: A Case Study. Masters thesis, UTeM. http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000061117
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
English
topic T Technology (General)
TH Building construction
spellingShingle T Technology (General)
TH Building construction
Khyrina Airin Fariza, Abu Samah
The Development Of An Intelligent Fire Alarm Detection System Using Fuzzy Logic: A Case Study
description Fire is very dangerous and life threatening. Fire detection and alarm system are designed to provide warning about the outbreak of fire and allow appropriate fire fighting action to be taken before the situation gets worse and out of control. At the preliminary stage, this research reviews the current practice of detecting fire at a manufacturing company in Melaka. It is a well-known fact that high risk, damage and losses of capital will be the consequences of fire. In the fire alarm and monitoring system, the fire detector is provided with various functions. Unfortunately, the traditional fire detector does not react in the early stage of fire and is not able to differentiate between false alarm and true alarm. Due to that, fire cannot be controlled effectively and this leads to heavy losses. Therefore, through this research, the new development of intelligent fire alarm detection system using fuzzy logic has been proposed. The integration of new technologies and concepts will improve the capability of fire detection systems and enable users to discriminate between fire and non-fire threats. This will increase the time available for property and life protection.
format Thesis
author Khyrina Airin Fariza, Abu Samah
author_facet Khyrina Airin Fariza, Abu Samah
author_sort Khyrina Airin Fariza, Abu Samah
title The Development Of An Intelligent Fire Alarm Detection System Using Fuzzy Logic: A Case Study
title_short The Development Of An Intelligent Fire Alarm Detection System Using Fuzzy Logic: A Case Study
title_full The Development Of An Intelligent Fire Alarm Detection System Using Fuzzy Logic: A Case Study
title_fullStr The Development Of An Intelligent Fire Alarm Detection System Using Fuzzy Logic: A Case Study
title_full_unstemmed The Development Of An Intelligent Fire Alarm Detection System Using Fuzzy Logic: A Case Study
title_sort development of an intelligent fire alarm detection system using fuzzy logic: a case study
publishDate 2010
url http://eprints.utem.edu.my/id/eprint/13827/1/The_Development_Of_An_Intelligent_Fire_Alarm_Detection_System_Using_Fuzzy_Logic_A_Case_Study_-_24_Pages.pdf
http://eprints.utem.edu.my/id/eprint/13827/2/The_Development_Of_An_Intelligent_Fire_Alarm_Detection_System_Using_Fuzzy_Logic_A_Case_Study.pdf
http://eprints.utem.edu.my/id/eprint/13827/
http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000061117
_version_ 1665905563618246656
score 13.211869

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