Browse > Article
http://dx.doi.org/10.7472/jksii.2021.22.4.83

Analysis of Building Characteristics and Temporal Changes of Fire Alarms  

Lim, Gwanmuk (Dept. of Digital Inclusion, Seoul Digital Foundation)
Ko, Seoltae (Dept. of Policy Research, Seoul Digital Foundation)
Kim, Yoosin (RT Data Lab)
Park, Keon Chul (Dept. of Policy Research, Seoul Digital Foundation)
Publication Information
Journal of Internet Computing and Services / v.22, no.4, 2021 , pp. 83-98 More about this Journal
Abstract
The purpose of this study to find the factors influencing the fire alarms using IoT firefighting facility management system data of Seoul Fire & Disaster Headquarters, and to present academic implications for establishing an effective prevention system of fire situation. As the number of high and complex buildings increases and former bulidings are advanced, the fire detection facilities that can quickly respond to emergency situations are also increasing. However, if the accuracy of the fire situation is incorrectly detected and the accuracy is lowered, the inconvenience of the residents increases and the reliability decreases. Therefore, it is necessary to improve accuracy of the system through efficient inspection and the internal environment investigation of buildings. The purpose of this study is to find out that false detection may occur due to building characteristics such as usage or time, and to aim of emphasizing the need for efficient system inspection and controlling the internal environment. As a result, it is found that the size(total area) of the building had the greatest effect on the fire alarms, and the fire alarms increased as private buildings, R-type receivers, and a large number of failure or shutoff days. In addition, factors that influencing fire alarms were different depending on the main usage of the building. In terms of time, it was found to follow people's daily patterns during weekdays(9 am to 6 pm), and each peaked around 10 am and 2 pm. This study was claimed that it is necessary to investigate the building environment that caused the fire alarms, along with the system internal inspection. Also, it propose additional recording of building environment data in real-time for follow-up research and system enhancement.
Keywords
Fire-fighting Facility Management System; Automatic Fire Detection Facility; Fire Alarm; Fire Detector; Real-time Sensing Analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 J.A. Hwang, J.Y. Kang, S.J. Kim, "A Study on the Spatial Characteristics of Urban Fire and Its Relationship with the Spatiality of Urban Decline in Seoul", SH Urban Research & Insight, Vol. 10, No. 3, pp. 1-20, 2020. https://doi.org/10.26700/shuri.2020.12.10.3.1   DOI
2 Y.M. Na, D.H. Hyun, D.H. Park, S.H. Hwang, S.H. Lee, "AI Fire Detection & Notification System", Journal of the Korea Society of Computer and Information, Vol. 25, No. 12, pp. 63-71, 2020. https://doi.org/10.9708/jksci.2020.25.12.063   DOI
3 H.S. Hwang, "Automated Fire Detection System", Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, Vol. 9, No. 5, pp. 427-435, 1995.
4 J.H. Lee, C.H. Lee, S.K. Kim, H.S. Kong, "A Study about False Alarm of Automatic Fire Detection System", Journal of the Korea Safety Management & Science, Vol. 13, No. 1, pp. 41-49, 2011. https://doi.org/10.12812/ksms.2011.13.1.041   DOI
5 Ministry of the Interior, National Information Agency, "D.gov Edge 2015", Vol. 4, pp. 11-12, 2015.
6 Y.J. Son, Y.I. Lee, S.H. Lee, "Research on the Reliability Improvement of Automatic Fire Alarm System", Journal of Korean Institute of Fire Science and Engineering, Vol. 22, No. 4, pp. 42-49, 2008.
7 B.S. Lee, D.K. Kwak, D.Y. Jung, D.J. Cheon, "A Study on Design and Operation Performance of Automatic Fire Detection Equipment (P-type One-class Receiver) by Bidirectional Communication", The Transactions of the Korean Institute of Electrical Engineers, Vol. 61, No. 2, pp. 347-353, 2012. https://doi.org/10.5370/KIEE.2012.61.2.347   DOI
8 J.W. Ryu, S.P.Kwon, "Fire Risk Assessment Based on Weather Information Using Data Mining", Journal of Korean Institute of Fire Science and Engineering, Vol. 29, No. 5, pp. 88-95, 2015.   DOI
9 M.S. Seo, H.H. Yoo, "Significance Analysis of Facility Fires Though Spatial Econometrics Assessment", Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 38, No. 3, pp. 281-293, 2020. https://doi.org/10.7731/KIFSE.2015.29.5.088   DOI
10 S.K. Choi, J.M. Moon, "Investigation of Awareness for Evaluation Factors of Fire Response Capability to Apartment Residents", Journal of the Korean Housing Association, Vol. 32, No. 1, pp. 15-22, 2021. https://doi.org/10.6107/JKHA.2021.32.1.015   DOI
11 K. Kim, "Management and Roles of Fire Safety System of Building in America", Architecture and Urban Space, Vol. 35, pp. 65-69, 2019.
12 J.K. Park, K.H. Nam, "Implementation of Multiple Sensor Data Fusion Algorithm for Fire Detection System", Journal of the Korea Society of Computer and Information, Vol. 25, No. 7, pp. 9-16, 2020. https://doi.org/10.9708/jksci.2020.25.07.009   DOI
13 J.S. Kim, C.W. Lee, S.H. Park, J.H. Lee, C.H. Hong, "Development of Fire Detection Model for Underground Utility Facilities Using Deep Learning : Training Data Supplement and Bias Optimization", Journal of the Korea Academia-Industrial cooperation Society, Vol. 21, No. 12 pp. 320-330, 2020. https://doi.org/10.5762/KAIS.2020.21.12.320   DOI
14 J.D. Shin, S.H. Jung, M.S. Kim, H.J. Kim, "Analysis of Fire Risk with Building Use Type Using Statistical Data", Journal of The Korean Society of Hazard Mitigation, Vol. 12, No. 4, pp. 107-114, 2012.   DOI
15 D.S. Kim, N.J. Kang, "Regression: Basics and Applications", pp. 85-116, Nanam, 2008.
16 W.Y. Song, W.H. Jung, M.H. Cho, G.Y. Choi, H.S. Kong, "Developing a Service Model to Improve the Management of Firefighting Vulnerable Areas Based on WebGIS", Journal of Korean Institute of Plant Engineering, Vol. 20, No. 2, pp. 55-64, 2015.
17 J.A. Ok, "Fire Data Collection and Utilization in Gyeonggi-Do", Gyeonggi Development Institute : GRI Issues Report, pp. 1-9, 2015.
18 K.S. Ko, J.K. Yang, D.H. Hwang, H.S. Ko, C.O. Ga, J.P. Cho, "Building Fire Prediction Model Study Using AI", The Journal of Korean Institute of Communications and Information Sciences, Vol. 45, No. 7, pp. 1210-1218, 2020. https://doi.org/10.7840/kics.2020.45.7.1210   DOI
19 E.J. Shin, M.S. Koh, D.I. Shin, "Fire Accident Analysis of Hazardous Materials Using Data Analytics", Journal of the Korean Institute of Gas, Vol. 24, No. 5, pp. 47-55, 2020. https://doi.org/10.7842/kigas.2020.24.5.47   DOI