Investigation on the Performance of Fire Detection Systems for Tunnel Applications––Part 2: Full-Scale Experiments Under Longitudinal Airflow Conditions

Liu, Z. G.; Kashef, Ahmed; Lougheed, G. D.; Crampton, G.

doi:10.1007/s10694-010-0143-3

Cited by 15 publications

(8 citation statements)

References 5 publications

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“…Each sense cable of the system is required to cover two traffic lanes in the tunnels. Many researches have been conducted to study their capability and limitation in tunnel environments [29][30][31][32]. Test and operation results show that the linear heat detection systems:  Respond to a fire at its flame stage as the temperature in the tunnel raises, which may miss early warnings of the fire, depending on the fire type.…”

Section: Existed Fire Detection Technologies In China Road Tunnelsmentioning

confidence: 99%

“…Their maximum detection distance ranges from 40 to 50 m in the tunnels. Their performances in tunnel environments have also been substantially investigated [31,32,35]. Test and operation results show that flame detectors:  Respond to a fire at its flame stage, which may miss some early warnings of the fire, depending on the fire type.…”

Section: Existed Fire Detection Technologies In China Road Tunnelsmentioning

confidence: 99%

“…The capability and limitation of two fire VID systems together with other detection technologies were evaluated in NRC research program [31,32,[62][63][64][65]. Full-scale fire tests were conducted in a laboratory tunnel in Ottawa and in the Carré-Viger tunnel in Montreal, Canada (Figure 8).…”

Section: Evaluation Of Performances Of Vid Systems In Tunnelsmentioning

confidence: 99%

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Development and Application of Fire Video Image Detection Technology in China’s Road Tunnels

Dai

Jiang²,

Ding³

et al. 2019

Civ Eng J

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A large number of highway tunnels, urban road tunnels and underwater tunnels have been constructed throughout China over the last two decades. With the rapid increase in vehicle traffic, the number of fire incidents in road tunnels have also substantially increased. This paper aims to review the development and application of fire video image detection (VID) technology and their impact on fire safety in China’s road tunnels. The challenges of fire safety in China’s road tunnels are analyzed. The capabilities and limitations of fire detection technologies currently used in China’s road tunnels are discussed. The research and development of fire VID technology in road tunnels, including various detection algorithms, evolution of VID systems and evaluation of their performances in various tunnel tests are reviewed. Some cases involving VID applications in China’s road tunnels are reported. The studies show that the fire VID systems have unique features in providing fire protection and their detection capability and reliability have been enhanced over the decades with the advance in detection algorithms, hardware and integration with other tunnel systems. They have become an important safety system in China’s road tunnels.

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Section: Existed Fire Detection Technologies In China Road Tunnelsmentioning

confidence: 99%

Section: Existed Fire Detection Technologies In China Road Tunnelsmentioning

confidence: 99%

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Development and Application of Fire Video Image Detection Technology in China’s Road Tunnels

Dai

Jiang²,

Ding³

et al. 2019

Civ Eng J

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“…In 2011, Liu concluded that the detection time of the fire detection system under the longitudinal air condition depends on the fuel type, the size and location of the fire, the velocity of the air flow and the detection method [1]. Marty Ahrens counts the performance of the American home smoke alarm system [2].…”

Section: Introductionmentioning

confidence: 99%

Design Performance Assessment of Fire Alarm System based on Principal Components Analysis

Lan¹,

Qu²,

Zhu³

2017

Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 20

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Abstract. Design performance assessment of fire alarm system is to test the design scheme of large complex fire alarm system and determine the degree of satisfaction of the system design objective. The second-grade indexes of design performance assessment of fire alarm system are extracted by principal components analysis. The paper uses SPSS16.0 and Microsoft Excel to complete the data statistics and analysis process.

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“…Liu presented the results of the full-scale experiments conducted in a laboratory tunnel facility under longitudinal airflow conditions. The performance of nine fire detection systems representing five types of the fire detection technologies for road tunnel applications was investigated using representative tunnel fire scenarios [6]. Marty Ahrens provided background about smoke alarms in the general population and in unreported fires by the findings from the Consumer Product Safety Commission's 2004 to 2005 Residential Fire Survey [7].…”

Section: Introductionmentioning

confidence: 99%

Operating Performance Assessment of Fire Alarm System Based on BP Neural Network

Qu¹,

Zhu²,

Wang³

2015

Advances in Intelligent Systems Research

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With the rapid development of super large buildings, monitoring of fire hidden danger is much more difficult than ever. Whether fire alarm system is effective or not directly affects the ability of controlling fire and protecting people's lives and property. Operating performance assessment of fire alarm system is to assess intact effectiveness of the system by inspection and test. Analytic hierarchy process (AHP) is used to establish index system of operating performance. BP neural network algorithm is used to calculate the weight of each index so as to establish the assessment model of operating performance. It shows that the assessment model achieves better performance by MATLAB simulation and can provide reference for the system design and management.

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Investigation on the Performance of Fire Detection Systems for Tunnel Applications––Part 2: Full-Scale Experiments Under Longitudinal Airflow Conditions

Abstract: /npsi/ctrl?lang=en http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/ctrl?lang=fr Access and use of this website and the material on it are subject to the Terms and Conditions set forth at

Cited by 15 publications

References 5 publications

Development and Application of Fire Video Image Detection Technology in China’s Road Tunnels

Development and Application of Fire Video Image Detection Technology in China’s Road Tunnels

Design Performance Assessment of Fire Alarm System based on Principal Components Analysis

Operating Performance Assessment of Fire Alarm System Based on BP Neural Network

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