• 한국화재소방학회논문지
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• 제28권2호
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• pp.54-63
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• 2014

본 논문은 CO센서의 화재에 대한 감지특성을 분석 후 화재감지기로서의 적용성 판단을 하기 위한 논문이다. CO센서의 화재감지기로의 적용성을 판단하기 위해 UL 268에서 규정하고 있는 화재시험실과 유사한 규모의 화재실험장을 설계 제작하고, UL 268에서 제시된 화재시험기준에 준한 실화재실험을 실시하여 화원 종류에 따른 CO센서와 광전식연기감지기의 다양한 화원의 화재에서 발생하는 일산화탄소와 연기에 대한 감지특성을 측정하여 비교 분석하였다. 실험결과 종이화원 및 목재화원과 같이 불완전연소로 진행되는 초기화재에서 CO센서가 광전식연기감지기보다 약 2~3배 빠른 감지특성이 나타났다. 특히, 목재훈소화재에서 CO센서의 감지특성이 매우 우수한 것으로 나타났다.

• 센서학회지
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• 제33권3호
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• pp.119-124
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• 2024

Effective fire sensing is important to protect lives and property from the disaster. In this paper, we present an intelligent visual sensing method for detecting fires based on machine learning techniques. The proposed method involves a two-step process. In the first step, fire and non-fire images are used to train a convolutional neural network (CNN), and in the next step, feature vectors consisting of 256 values obtained from the CNN are used for the learning of a support vector machine (SVM). Linear and nonlinear SVMs with different parameters are intensively tested. We found that the proposed hybrid method using an SVM with a linear kernel effectively increased the recall rate of fire image detection without compromising detection accuracy when an imbalanced dataset was used for learning. This is a major contribution of this study because recall is important, particularly in the sensing of disaster situations such as fires. In our experiments, the proposed system exhibited an accuracy of 96.9% and a recall rate of 92.9% for test image data.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1149-1151
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• 2003

We performed a validation study of the MODIS active fire detection algorithm using high resolution SPOT image as the reference data set. Fire with visible smoke plumes are detected in the SPOT scenes, while the hotspots in MODIS data are detected using NASA's new version 4 fire detection algorithm. The detection performance is characterized by the commission error rate (false alarms) and the omission error rate (undetected fires). In the Sumatra and Kalimantan study area, the commission rate and the omission rate are 27% and 34% respectively. False alarms are probably due to recently burnt areas with warm surfaces. False negative detection occur where there are long smoke plumes and where fires occur in densely vegetated areas.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.450-453
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• 2005

A forest fire occurs mainly as natural factor such as wind, temperature or human factor such as light. Recently, the most of forest fire prevention is prediction or prevision against forest fire by using remote sensing technology. However in order to forest fire prevention, the remote sensing has many limitations such as high cost and advanced technologies and so on. Therefore, we need to multisensor integration system that utilize not only remote sensing but also in-situ sensing in order to reduce large damage of forest fire though analysis of happen cause and prediction routing of occurred forest fire. In this paper we propose a multisensor integration system that offers prediction information of factors and route of forest fire by integrates collected data from remote sensor and in-situ sensor for forest fire prevention. The proposed system is based on wireless sensor network for collect observed data from various sensors. The proposed system not only offers great quality information because firstly, raw data level fuse different format of collected data from remote and in-situ sensor but also accomplish information level fusion based on result of first stage. Offered information from our system can help early prevention of factor and early prevision against occurred forest fire which transfer to SMS service or alert service into monitoring interface of administrator.

• 센서학회지
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• 제21권3호
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• pp.211-216
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• 2012

Fires are the most common disaster and early fire detection is of great importance to minimize the consequent damage. Simple sensors including smoke detectors are widely used for the purpose but they are able to sense fires only at close proximity. Recently, due to the rapid advances of relevant technologies, vision-based fire sensing has attracted growing attention. In this paper, a novel visual sensing technique to automatically detect fire is presented. The proposed technique consists of multiple steps of image processing: pixel-level, block-level, and frame level. At the first step, fire flame pixel candidates are selected based on their color values in YIQ space from the image of a camera which is installed as a vision sensor at a fire scene. At the second step, the dynamic parts of flames are extracted by comparing two consecutive images. These parts are then represented in regularly divided image blocks to reduce pixel-level detection error and simplify following processing. Finally, the temporal change of the detected blocks is analyzed to confirm the spread of fire. The proposed technique was tested using real fire images and it worked quite reliably.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.747-749
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• 2003

For forest fire monitoring in relatively cool area like Siberia, design of Decision Support System (DSS) is proposed. The DSS is consisted of three different algorithms to detect potential fires from NOAA AVHRR image. The algorithm developed by CCRS (Canada Center for Remote Sensing) uses fixed thresholds for multi-channel information like one by ESA (European Space Agency). The algorithm of IGBP (International Geosphere Biosphere Program) involves contextual information in deriving fire pixels. CCRS and IGBP algorithms are rather liberal compared to more conservative ESA algorithm. Fire pixel information from the three algorithms is presented to the user. The user considers all these information in making decision about the location fire takes place.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2009년도 춘계학술대회 논문집 전기설비전문위원
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• pp.166-168
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• 2009

In this paper, we studied fire sensing and position tracing system in fire region. The coordinates of fire position is communicated to fire suppression system immediately. And the fire is suppressed by this system effectively. For the purpose, the fire occurrence region images are extracted with two different CCD surveillance cameras and fire occurrence are sensed, I suggested a method to measure the fire occurrence position. It was able to be sensed early experiment result fire outbreak and, I was able to understand a fire outbreak position coordinate at the moment when a fire occurred and, I confirmed that I could accomplish warning official announcement and fire suppression in an auto.

• 대한원격탐사학회지
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• 제36권5_3호
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• pp.1125-1137
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• 2020

본 연구에서는 산불 발생 위치와 면적만 기록하는 산불피해대장 정보의 한계점을 보완하기 위해 위성 영상 기반의 산불발생데이터의 연계 방법을 제시하고자 하였다. 이를 위해 2012년 1월 ~ 2019년 12월 사이 산림청에서 제공하는 산불피해대장 자료와 MODIS 및 VIIRS 기반 산불발생데이터를 연계하는 방안을 도출하였다. 연구 결과 191건의 산불피해대장 산불 중 MODIS와 VIIRS 기반 산불발생데이터는 각각 약 11%와 44%의 산불에 대해 발생지역 확인이 가능하였다. VIIRS 기반 산불발생데이토로 추출한 피해지역에 대해 고해상도의 Sentinel-2A 위성으로 확인한 산불 영역과 비교한 결과 평균 56% 정도의 산림지역 피해가 추출되었다. 따라서 대규모 산불에 대해서는 VIIRS 산불발생데이터를 이용하면 면적과 발화점 위치만 기록하는 산불피해대장 정보의 한계점을 보완할 수 있을 것이다.

• 한국화재소방학회논문지
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• 제27권2호
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• pp.1-5
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• 2013

본 논문은 사고전압 감지형의 아크차단 제어회로에 대한 연구로써, 전기사고 발생 시 선간전압의 순간적인 전압감쇠를 감지하여 기존 차단기를 동작시키는 전압감지형 전기화재 예방장치이다. 현재 저압배전 계통에 사용중인 누전차단기, 배선용차단기 그리고 RCD 등은 전기화재의 주요 요인인 아크사고에 대해 보호능력이 없는 것으로 분석된다. 본 논문에서는 이러한 문제점들을 개선하기위하여 이전의 전류감지에 의한 아크사고 차단방식이 아닌 사고발생 시 전압파형의 왜곡을 이용한 새로운 전압감지형 아크차단 제어회로를 개발하여 전기화재를 예방하고자 한다. 제안한 아크차단 제어회로는 소형 경량으로 제작되는 장점과 다양한 동작분석을 통하여 그 실용성을 검증하였다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.1719-1723
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• 2005

An automatic target sensing and triggering system for small fire arms is proposed. The system consists of an optical collector, an infrared ray sensor responsive to human body temperature, an electric actuator and a trigger mechanism. TRIZ methodologies are used to develop solutions to several contradictory problems. Experimental results on the system performance is compared with predictions.