Predicting the Fire Source Location by Using the Pipe Hole Network in Aspirating Smoke Detection System
The aspirating smoke detector (ASD) is one of the most critical pieces of equipment for detecting smoke in a protected area when a fire occurs. It has more advantages than a conventional smoke detector because it can be used in extreme conditions, such as cold storage facilities or hot aisle contain...
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MDPI AG
2022-03-01
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Online Access: | https://www.mdpi.com/2076-3417/12/6/2801 |
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author | Young Man Lee Ha Thien Khieu Dong Woo Kim Ji Tae Kim Hong Sun Ryou |
author_facet | Young Man Lee Ha Thien Khieu Dong Woo Kim Ji Tae Kim Hong Sun Ryou |
author_sort | Young Man Lee |
collection | DOAJ |
description | The aspirating smoke detector (ASD) is one of the most critical pieces of equipment for detecting smoke in a protected area when a fire occurs. It has more advantages than a conventional smoke detector because it can be used in extreme conditions, such as cold storage facilities or hot aisle containment areas. ASD uses a fan to draw air from the protected area into the pipe network system via pipe holes. The sucked air is transported into the sensing chamber to detect smoke. If the obscuration in the sensing chamber is greater than the setpoint, the ASD will sound an alarm so that people realize there is a fire. For this reason, investigating the effect of the pipe hole network on obscuration in the ASD is critical. In this study, a Pipe Hole Network Program was developed to consider the pipe flow parameter. A numerical study based on the program and an experimental study was performed. The results showed that the numerical results had the same trend as the experimental study. The further the location of the fire source was, the lower the obscuration was. In addition, the correlation between the obscuration parameter and the fire source distance was also derived. It could be used to predict the fire source location in the aspirating smoke detection system. |
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language | English |
last_indexed | 2024-03-09T13:52:12Z |
publishDate | 2022-03-01 |
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spelling | doaj.art-8fc2c6cc92944b63a2a202f0b29559b12023-11-30T20:48:46ZengMDPI AGApplied Sciences2076-34172022-03-01126280110.3390/app12062801Predicting the Fire Source Location by Using the Pipe Hole Network in Aspirating Smoke Detection SystemYoung Man Lee0Ha Thien Khieu1Dong Woo Kim2Ji Tae Kim3Hong Sun Ryou4School of Mechanical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, KoreaAlllitelife Company, 199-32, Anyang-dong, Manan-gu, Anyang-si 14087, KoreaAlllitelife Company, 199-32, Anyang-dong, Manan-gu, Anyang-si 14087, KoreaSchool of Mechanical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, KoreaSchool of Mechanical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, KoreaThe aspirating smoke detector (ASD) is one of the most critical pieces of equipment for detecting smoke in a protected area when a fire occurs. It has more advantages than a conventional smoke detector because it can be used in extreme conditions, such as cold storage facilities or hot aisle containment areas. ASD uses a fan to draw air from the protected area into the pipe network system via pipe holes. The sucked air is transported into the sensing chamber to detect smoke. If the obscuration in the sensing chamber is greater than the setpoint, the ASD will sound an alarm so that people realize there is a fire. For this reason, investigating the effect of the pipe hole network on obscuration in the ASD is critical. In this study, a Pipe Hole Network Program was developed to consider the pipe flow parameter. A numerical study based on the program and an experimental study was performed. The results showed that the numerical results had the same trend as the experimental study. The further the location of the fire source was, the lower the obscuration was. In addition, the correlation between the obscuration parameter and the fire source distance was also derived. It could be used to predict the fire source location in the aspirating smoke detection system.https://www.mdpi.com/2076-3417/12/6/2801pipe hole networkaspirating smoke detection systemobscurationtransport timepressure dropresponse time |
spellingShingle | Young Man Lee Ha Thien Khieu Dong Woo Kim Ji Tae Kim Hong Sun Ryou Predicting the Fire Source Location by Using the Pipe Hole Network in Aspirating Smoke Detection System Applied Sciences pipe hole network aspirating smoke detection system obscuration transport time pressure drop response time |
title | Predicting the Fire Source Location by Using the Pipe Hole Network in Aspirating Smoke Detection System |
title_full | Predicting the Fire Source Location by Using the Pipe Hole Network in Aspirating Smoke Detection System |
title_fullStr | Predicting the Fire Source Location by Using the Pipe Hole Network in Aspirating Smoke Detection System |
title_full_unstemmed | Predicting the Fire Source Location by Using the Pipe Hole Network in Aspirating Smoke Detection System |
title_short | Predicting the Fire Source Location by Using the Pipe Hole Network in Aspirating Smoke Detection System |
title_sort | predicting the fire source location by using the pipe hole network in aspirating smoke detection system |
topic | pipe hole network aspirating smoke detection system obscuration transport time pressure drop response time |
url | https://www.mdpi.com/2076-3417/12/6/2801 |
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