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제목 Real-time fire detection system based on dynamic time warping of multichannel sensor networks
주저자 백재승, Taha J.Alhindia
교신저자 정영선, 정명기
공동저자 서승호, 강종석, 심위, 허요섭
DOI doi.org/10.1016/j.firesaf.2021.103364
학술기관 Fire Safety Journal
발행기관 Elsevier
논문 요약 Fires are considered one of the most devastating accidents that could occur within a building. However, existing fire detection systems result in late fire detection or produce a high false alarm rate due to the complex patterns and temporal dynamics found in sensor signals that come from the various types of fires. This paper develops a novel fire detection algorithm that is based on multiple sensors in different locations to provide reliable real-time fire monitoring. The proposed fire detection algorithm takes into account both current and past sensor measurements and evaluates the similarity of sensor signals based on a dynamic time warping distance measure. Moreover, the proposed algorithm adaptively selects the sensors that are critical in detecting a fire in an early stage based on the developed -out-of- fire voting rule, which effectively combines decision rules from multichannel sensor signals. A case study was performed using a real-life fire dataset obtained from the National Institute of Standards and Technology to demonstrate the effectiveness of the proposed approach.
게재일자 2021년 07월 01일