scholarly journals Experimental Study on the Availability of Fire Detection Using Gas Sensors for Air Quality Measurement

2021 ◽  
Vol 35 (1) ◽  
pp. 41-47
Author(s):  
Jung-Min Choi ◽  
Kye-Won Park ◽  
Jae-Gun Jeong ◽  
Yong-Kwon Lee ◽  
Gil-Nam Kim ◽  
...  

This study tested gas sensors used to measure indoor air quality to explore the feasibility of using them as detection sensors in case of fire. A B-class fire environment was implemented in the compartment (ISO 9705 standard fire room), and four types of high- and low- accuracy and priced gas sensors (Carbon monoxide, carbon dioxide, methane, t-VOC) used for indoor air quality measurement were installed. From ignition of the fuel to alarming of the heat detector, the responses from the sensors were analyzed. The results revealed the following: 1) Among the four types of sensors, CO and t-VOC sensors were effective as fire detection sensors in terms of their concentration increase and response time. 2) Low-accuracy CO<sub>2</sub> and CH<sub>4</sub> sensors were not effective in fire detection as they responded late relatively to CO and t-VOC sensors. 3) It was confirmed that low-accuracy gas sensors are feasible for use for fire detection in that they showed valid increase in concentration before the heat detector alarms. However, as only liquid combustible (Heptane) was applied as a fire source, analysis in an environment where different types of combustibles are used will be necessary in the future.

2021 ◽  
Vol MA2021-01 (56) ◽  
pp. 1504-1504
Author(s):  
Tomohiro Kawaguchi ◽  
Hirofumi Inoue ◽  
Akiko Omori ◽  
Masakazu Sai ◽  
Kuniyuki Izawa ◽  
...  

2020 ◽  
Vol 34 (1) ◽  
pp. 37-46
Author(s):  
Su-Gil Choi ◽  
Se-Young Jin ◽  
Sang-Min Park ◽  
Yeong-Jae Nam ◽  
Si-Kuk Kim

This is a basic research on potential application of fire detection by measuring fire detection tendency of indoor air quality measurement factors. In this study, operation experiment using smoke detector sensitivity tester and paper fire experiment specified in UL 268 standards were conducted to evaluate the fire detection tendency of indoor air quality measurement factors. Based on the cross-substitution of values measured in the paper fire experiment, PM10 (excluding average) and HCHO (excluding average and maximum) for the indoor air quality meter (IAQ); PM1.0, PM2.5, and PM10 for IAQ S2; and CO (excluding the average and maximum) for combustion gas analyzers showed consistent tendency despite changes in the measured values for smoke generation under all experimental conditions. In particular, PM10 and CO are considered the most applicable fire detection factors among the factors measured in the experiment.


2020 ◽  
Vol MA2020-01 (28) ◽  
pp. 2197-2197
Author(s):  
Tomohiro Kawaguchi ◽  
Hirofumi Inoue ◽  
Akiko Omori ◽  
Masakazu Sai ◽  
Kuniyuki Izawa ◽  
...  

2016 ◽  
Author(s):  
D. Puglisi ◽  
J. Eriksson ◽  
M. Bastuck ◽  
M. Andersson ◽  
A. Lloyd Spetz ◽  
...  

2021 ◽  
Vol 35 (1) ◽  
pp. 67-77
Author(s):  
Yoo-Jeong Choi ◽  
Su-Gil Choi ◽  
Yeong-Jae Nam ◽  
Jae-Hyeon Yu ◽  
Euy-Hong Hwang ◽  
...  

The response characteristics of fire detectors and indoor air quality measurement factors were studied according to the UL 268 cooking nuisance test. The response characteristics of the fire detector were confirmed through the U.S. UL 268 cooking nuisance test, newly introduced in 2020; the smoke concentration in the test was found to be a maximum of 7.8 %/m. The response characteristics of the indoor air quality measurement factors matched to the smoke detector's concentration in the nonoperation test (5 %/m), type 1 smoke detector's concentration in the operation test (7.5 %/m), and maximum smoke concentration (7.8 %/m) measured in the test were analyzed to derive factors applicable to avoiding unwanted fire alarms. In this test, the variation was confirmed at PM 1.0, PM 2.5, and PM 10 of the fine dust sensor, for NO and SO<sub>2</sub> for the combustion gas analyzer, and for CO, CO<sub>2</sub>, and HCHO for the gas analyzer. In particular, the most-adaptable factors measured in this experiment were PM 2.5 and PM 10, which can be utilized as unwanted-alarm factors.


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