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http://dx.doi.org/10.14346/JKOSOS.2022.37.5.14

Application of Signal Pattern Recognition Technique of Digital Wireless Fire Alarm System  

Park, Seunghwan (Laboratory Safety Management Team, Korea Atomic Energy Research Institute)
Kim, Doo-Hyun (Department of Safety Engineering, Chungbuk National University)
Kim, Sung-Chul (Department of Safety Engineering, Chungbuk National University)
Publication Information
Journal of the Korean Society of Safety / v.37, no.5, 2022 , pp. 14-21 More about this Journal
Abstract
The purpose of this study was to apply the signal pattern recognition technique to the digital wireless fire-alarm system and to reduce unwanted fire alarms. In this study, the fire alarms of the K Institute, which operates the largest digital wireless fire-alarm system in Korea, were classified into normal operations and unwanted fire alarms, and these were analyzed and compared with actual fire signals. In addition, by designing a non-fire signal filter and applying it to the K Institute, we confirmed that the monthly unwanted fire alarm rate of all 5,713 detectors decreased sharply. In particular, the unwanted fire alarm rate for flame decreased from 1.09% to 0.11% and the unwanted fire alarm rate for smoke decreased from 0.65% to 0.035%.
Keywords
digital wireless fire-alarm system; IoT fire detector; unwanted fire alarms; false alarm rate;
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