• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.1006-1007
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• 2014

본 시스템은 웹캠을 통해 렌더링한 영상을 통해 화재를 감지하는 기술에 관한 것으로, 더욱 상세하게는 whitecount 알고리즘을 이용한 화재인식에 관한 것이다. 서버를 개설하여 화재가 감지되면 서버에 실시간으로 사진을 저장하고 화재 감지 시 관리자 또는 119에 자동으로 신고할 수 있는 시스템이다.

• Fire Science and Engineering
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• v.34 no.1
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• pp.37-46
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• 2020

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.

• Fire Science and Engineering
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• v.17 no.4
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• pp.86-91
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• 2003

Since the air stream in the room controlled by HVAC system affects on he expected response of conventional detectors which are designed in accordance with normal characteristics of air stream in the fire incident, unexpected operation time delay may occur in fire. In order to solve this problem and to improve sensitivity so that to initiate fire in its early stages for minimizing damage and protecting people, we studied and developed Air Sampling Smoke Detector. The Air Sampling Smoke Detector is a kind of active-type fire detection system. it draws air continuously from the protected area through an air sampling pipe network to the smoke density analyzer. This study presents smoke density analysing technique and air intake balancing technique through an air sampling pipe network. As a result of evaluating, Air Sampling Smoke Detector was much more sensitive than conventional smoke detectors that passively wait for smoke to reach them and was not affected by ambient airflow in the room by means of balanced air intake through the sampling holes.

• Journal of the Korean Society of Hazard Mitigation
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• v.5 no.3 s.18
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• pp.41-46
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• 2005

Establishing special fire flower sensor of automatic fire equipment in tunnel, it is informed perception, croaker suppression realization and danger occurrence item vehicles driver of tunnel entry verge and connection stream tube institution early stage. which must do to cope immediately. In this paper, quick disposal decides to examine about dictionary perception system that is possible method.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.1
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• pp.31-36
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• 2010

In this paper, an autonomous mobile robot for fire detection is designed. The robot is equipped with thermal sensor which rotates for wide range of detection. The fire detector A2TPMI is used. A data processing method for robust fire detection is also implemented. AD converter and Kalman filter is applied to remove noisy signal from the fire detection sensor.

• Journal of Advanced Navigation Technology
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• v.13 no.6
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• pp.1011-1016
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• 2009

In this paper, we propose the method of fire detection. A wide distribution of CCTV cameras (Closed Circuit Television) in many public areas can be used not only for video surveillance systems but also for detecting fire occurrence. A proposed approach is based on visual information through a static camera. Video sequences are analyzed to find fire candidates and then spatial analyses procedure for detected fire-like color foreground is carried out. From the simulation results, our method showed the best performance when spatial and temporal fire candidates changes rapidly and close to fire motion.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.719-720
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• 2024

센서 기반의 자동화재탐지설비의 역할을 지원할 목적으로, 합성곱 신경망 기반의 AI 화재 감시장비등이 연구되어왔다. ai 기반 화재 감지에 사용되는 알고리즘은 전이학습을 주로 이용하고 있고, 이는 화재 감지에 기여도가 낮은 프로세스가 내장되어 있을 가능성이 존재하여, 딥러닝 모델의 복잡성을 가중시키는 원인이 될 수 있다. 본 연구에서는 이러한 모델의 복잡성을 개선하고자 다양한 딥러닝 및 해석 기술들을 분석하였고, 분석 결과를 토대로 화재 감지에 최적화된 아키텍처인 "IF2bNet" 을 제안한다. 구현한 아키텍처의 성능을 비교한 결과 동일한 성능을 내면서, 파라미터를 약 0.1 배로 경량화 하여, 복잡성을 완화하였다.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 1999.06a
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• pp.39-44
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• 1999

최근 들어 산업설비 및 건축물의 대형화, 다 기능화 추세가 두드러지게 나타나고 있는 가운데 화재발생으로 인한 인명 및 재산상의 피해규모가 비례적으로 증가하고 있다. 이에 화재의 근원적 원인과 발생 가능성을 미연에 방지하는 방화ㆍ방폭 기술의 개발이 무엇보다도 중요해지고 있다. 또한 화재예방이 불가능하였을 경우 신속한 화재감지를 통해 화재진압에 나서는 것과 화재특성을 분석하여 화재를 방지하는 것 역시 중요해지고 있다. (중략)

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.9
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• pp.1082-1087
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• 2019

Video Incident Detection System is a detection system for the purpose of detection of an emergency in an unexpected situation such as a pedestrian in a tunnel, a falling object, a stationary vehicle, a reverse run, and a fire(smoke and flame). In recent years, the importance of the city center has been emphasized by the construction of underpasses in great depth underground space. Therefore, in order to apply Video Incident Detection System to a Double Deck Tunnel, it was developed to reflect the design characteristics of the Double Deck Tunnel. and In this paper especially, the fire detection technology, which is not it is difficult to apply to the Double Deck Tunnel environment because it is not supported on existing Video Incident Detection System or has a fail detect, we propose fire detection using color image analysis, silhouette spread, and statistical properties, It is verified through a real fire test in a double deck tunnel test bed environment.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.378-382
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• 2006

현재 주로 사용되고 있는 화재 감지 장치들은 경고 기반으로 되어 있어 정확한 화재 발생의 위치 검색이 어려우며 장치의 고장이 발생한 경우 고장 유/무의 확인이 어려워 보다 큰 인명 피해 및 재산 피해를 가져올 수 있다. 센서 네트워크 시스템은 통신매체 없이 데이터 송/수신이 가능하며 이를 통한 모니터링 환경의 구축이 쉬워 위치검색 및 고장 검출 알고리즘의 적용이 간단하다. 본 논문에서는 WSN 기반의 화재 감지 시스템을 제안하며 오류검출 알고리즘인 Consensus 알고리즘을 적용하여 그 유용성을 확인하고자 한다.