• Fire Science and Engineering
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• v.19 no.2 s.58
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• pp.8-12
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• 2005

A fire in a clean room may cause a serious loss by spreading smoke particles. The effects of the width of smoke curtains on delay in smoke spread, which is located the work area boundaries, were investigated by using a computational fluid dynamics, for loss prevention by smoke spreading from one fire area to another. The fire scenario was set to a 1 MW methanol fire in a space of $30m\times10m$ floor and 4 m high. Distributions of temperature and smoke particles were compared for the width of the smoke curtains 0 (without smoke curtains), 1, 2, 3m. It was confirmed that a larger width of the smoke curtain delays spread of smoke more, and that making the work areas compartments is necessary to confine the smoke in the fire area.

• Fire Science and Engineering
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• v.20 no.2 s.62
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• pp.8-13
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• 2006

Numerical simulations were carried out for a fire in a clean room to confirm needs of a smoke control system and a sprinkler system, and to investigate a possible smoke spread-out. For a 1 MW methanol fire in a space of $39m{\times}13m$ floor and 4 m high, smoke spread-out was scrutinized for failure of the sprinkler system and/or the smoke control system. It was shown that the smoke control system removes smoke safely without the sprinkler system and that the sprinkler system is required to suppress smoke generation and spread of the fire, and to remove the smoke quickly. It was also confirmed that highly reliable sprinkler heads and automatic fire detection system are required for the sprinkler and smoke control systems.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.116-125
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• 2019

The fire should extinguish as soon as possible because it causes economic loss and loses precious life. In this study, we propose a new atypical fire and smoke detection algorithm using deep learning and color histogram of fire and smoke. First, input frame images obtain from the ONVIF surveillance camera mounted in factory search motion candidate frame by motion detection algorithm and mean square error (MSE). Second deep learning (Faster R-CNN) is used to extract the fire and smoke candidate area of motion frame. Third, we apply a novel algorithm to detect the fire and smoke using color histogram algorithm with local area motion, similarity, and MSE. In this study, we developed a novel fire and smoke detection algorithm applied the local motion and color histogram method. Experimental results show that the surveillance camera with the proposed algorithm showed good fire and smoke detection results with very few false positives.

• Fire Science and Engineering
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• v.16 no.4
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• pp.28-32
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• 2002

The performance based design in fire detection system, the effect of high airflow and dilution of smoke produced in any fire situation serve to increase the response time of point-type smoke detectors. This study investigated the smoke density of ceiling, under the air stream and in normal status when fire type is smoldering fires. The result of study, smoke generated in the fire was swept away from nearby spot type smoke detector which failed to actuate because dispersed in diluted form around the room. The concept of performance based design in fire detection system of protected area influenced by high airflow provided the need of active fire detection system such as air sampling smoke detection system.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.04a
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• pp.83-84
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• 2022

In Korea, smoke control measures through NFSC 501 are proposed to reduce human casualties caused by smoke in the event of a fire. However, as a result of investigating and analyzing domestic and foreign standards, it was found that domestic regulations do not set fire source, but simply set smoke emissions by floor area or height of smoke boundary. Foreign regulations set fire source. Therefore, it is judged that it is necessary to review whether the current domestic regulations can be applied in the event of an actual building fire. So, this paper aims to identify the differences in domestic and foreign standards through investigation and analysis of related standards for fire zone smoke control system in each country and use them as basic data to improve the performance of zone smoke control system.

• International Journal of Safety
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• v.4 no.2
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• pp.30-35
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• 2005

In case of tunnel fire, one of the most effective facilities to save lives is the smoke control system. In this study, two different smoke extraction schemes of transversely ventilated tunnel were compared. One is the smoke extraction using the fixed exhaust ports on the false ceiling to achieve the uniform and distributed smoke extraction (uniform exhaust). The other is that using the remote controlled smoke extraction where only vents close to the fire is opened whereas the others are closed to enhance the limitation of the smoke spread (localized exhaust). A number of numerical simulations were performed to find out the optimal smoke extraction rate at each smoke extraction scheme to allow the tunnel users to escape to the safe area without endangering their lives by smoke.

• Journal of the Korean Society of Safety
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• v.29 no.1
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• pp.21-24
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• 2014

In this study, we have investigated the maximum smoke density and the initial stage smoke density in order to see the characteristics of smoke release of the architectural surface materials and the architectural adhesives, using smoke density chamber. As a result of the study, polyurethane foam showed the highest smoke density index, 206.55 within 10 min. In the case of the other samples, reinforced styrofoam was followed as 39.90, general styrofoam 33.73, and glass fiber 5.40, respectively. In the intial stage of a fire, it is forecasted actually to give hardship at the clear visibility. In the case of architectural adhesives, the highest ranking was those for windows and doors 509.64, stone 275.63, wood 232.25, tile 18.65, and styrofoam 6.44 were followed, respectively. This result is an early research to show characteristics of smoke release through experiment. However, it is meaningful that this study can be used as a basic for further study on architectural fire hazard prediction.

• Fire Science and Engineering
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• v.28 no.5
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• pp.64-70
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• 2014

The neural networks were able to be used by analyze fire source with the optical characteristics of smoke particles. The neural networks were learned the optical characteristics for three types test fire (paper, wood, flammable liquid). These test fires which were adopted in this study were also used to performance test of smoke detector according to UL268. A smoke chamber which was able to detect light extinction and scattering simultaneously was created. The optical characteristics of smoke particles were measured by the smoke chamber. And the results were used to input data for the neural networks. The neural networks distinguished the fire source accurately for paper fire, wood fire or flammable liquid fire. The neural networks distinguished accurately the combined fire source such as paper-wood fire, paper-flammable liquid fire or wood-flammable liquid fire.

• Journal of Aerospace System Engineering
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• v.1 no.4
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• pp.7-12
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• 2007

From the beginning of aviation history, in-flight smoke/fire events have been a serious issue. As aircraft are getting larger and are becoming more auto-piloted and aircraft systems are getting more complex, it is an increasing risk of in-flight smoke/fire accidents accompanied with fire events. Therefore, we review the statistics of fire/smoke accidents in order to enhance an understanding for risk of in-flight smoke events, and present the certification requirements for smoke per KAS Part 25. In addition, we provide acceptable methods of complying with related requirements, such as smoke detection test, smoke penetration test and smoke evacuation test.

• Journal of the Korean Society of Safety
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• v.21 no.2 s.74
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• pp.46-51
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• 2006

The smoke exhaust system is one of the effective systems to save lives when fire occurs underground. This study presents a complete analysis of effective smoke exhaust and smoke characteristics for a fire occurring with a transverse ventilation system use as a smoke exhaust system. The performance of the smoke management system was studied by computer modeling using FDS version 3.1. A fire size of 20MW was used for tunnel with balanced exhaust transverse ventilation. The smoke management design and the procedure as simulated in this study are also compliant to the tunnel construction and fire codes of Korea.