• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2002.11a
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• pp.382-393
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• 2002

• Journal of KIISE:Software and Applications
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• v.37 no.9
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• pp.712-721
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• 2010

This paper proposes a new fire-flame detection method using probabilistic membership function of visual features and Fuzzy Finite Automata (FFA). First, moving regions are detected by analyzing the background subtraction and candidate flame regions then identified by applying flame color models. Since flame regions generally have continuous and an irregular pattern continuously, membership functions of variance of intensity, wavelet energy and motion orientation are generated and applied to FFA. Since FFA combines the capabilities of automata with fuzzy logic, it not only provides a systemic approach to handle uncertainty in computational systems, but also can handle continuous spaces. The proposed algorithm is successfully applied to various fire videos and shows a better detection performance when compared with other methods.

• Journal of Korean Association for Spatial Structures
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• v.10 no.2
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• pp.135-145
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• 2010

The objective of this study is to draw basic data for the application of the fire protection planning for the future plan large enclosure buildings in Korea through an analysis of its characteristics by case studies of the domestic and foreign large scale gymnasiums. In this study, domestic building codes for the fire protection are investigated and fire detection systems, fire extinguishing systems, smoke control systems and evacuation systems of three large scale gymnasiums located at Korea and eight foreign countries are compared and analyzed. The results of this study show that infrared light fire detection system and flame detector for spacial characteristics are potentially used in fire protection systems of large scale gymnasiums: dry type sprinkler and sprinkler water gun are adopted in fire detection system; and smoke accumulation system is widely utilized in smoke control system.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.81-82
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• 2023

디지털 트윈 플랫폼을 적용하여 가동원전의 화재 안전성을 강화시키고자 한다. 원전에 특화된 화재 감지, 진압 설비를 개발하면서 디지털 트윈에 적용하기 위하여 수집해야 할 데이터에 대한 연구를 수행하고 있다. 본 연구에 대해서 원전에 특화된 공기흡입형 감지모듈과 미분무 소화설비를 개발하고 있으며 제품에 대한 DB를 구축하여 디지털 트윈에 적용시키고자 유니티(Unity) 툴을 이용하여 파일럿 규모의 전기실 화재에 대한 모델링을 수행하였다. 추후 실규모의 소방 시스템을 제작하고 적용 가능한 센서를 통해 데이터를 수집할 것이며, 이를 통해 디지털 트윈 플랫폼을 구축하여 CDF 저감에 기여할 것으로 기대된다.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.2
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• pp.67-72
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• 2022

Recently, various intelligent application services using artificial intelligence are being actively developed. In particular, research on artificial intelligence-based real-time prediction services is being actively conducted in the manufacturing industry, and the demand for artificial intelligence services that can detect and predict fire and odors is very high. However, most of the existing detection and prediction systems do not predict the occurrence of fires and odors, but rather provide detection services after occurrence. This is because AI-based prediction service technology is not applied in existing systems. In addition, fire prediction, odor detection and odor level prediction services are services with ultra-low delay characteristics. Therefore, in order to provide ultra-low-latency prediction service, edge computing technology is combined with artificial intelligence models, so that faster inference results can be applied to the field faster than the cloud is being developed. Therefore, in this paper, we propose an LSTM algorithm-based learning model that can be used for fire prediction and odor detection/prediction, which are most required in the manufacturing industry. In addition, the proposed learning model is designed to be implemented in edge devices, and it is proposed to receive real-time sensor data from the IoT terminal and apply this data to the inference model to predict fire and odor conditions in real time. The proposed model evaluated the prediction accuracy of the learning model through three performance indicators, and the evaluation result showed an average performance of over 90%.

• Fire Science and Engineering
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• v.30 no.2
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• pp.27-34
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• 2016

This paper studies a fire detection system using an optical fiber linear detector which can minimize damage from a fire by the most adaptable even in poor environmental conditions such as a tunnel or utility-pipe conduit vulnerable to fire. Using a strand of optical fiber, temperature can be displayed in intervals of meters and a fire can be detected remotely from a distance of several kilometers. Thanks to its strengths such as high reliability and long life, it is widely applied in harsh environments in the overseas. Therefore demands are expected to grow greatly in Korea as well. However, all optical signal drive and analysis module except for the optical fiber linear detector, tend to rely on import. Firstly this study deduced the location and the method of processing signals measuring temperature by using the optical fiber linear detector in order to develop a technology for a domestic model of fire detection system. Secondly this study designed and manufactured the optical analysis test module, and then we checked its performance.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.6-8
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• 2018

본 논문은 아두이노를 사용하여 실내에서 발생하는 안전사고에 대하여 사전에 위험을 감지하고 예방하는 시스템을 다루고 있다. 아두이노에 진동감지센서, 화재감지센서, 공기농도센서, 온습도감지센서를 연결하여 각 센서의 수치에 따라 알림을 모니터에 나타내어 지진, 화재, 질식 사고를 예방 힐 수 있다.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2010.04a
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• pp.510-515
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• 2010

이 논문은 주택 및 영세사업장의 모의설비 시스템을 구성하여 전기화재원인 분석 및 이상신호 검출이 가능한 하드웨어 개발과 소프트웨어 개발이 주목표이다. 이를 위하여 주택 및 영세사업장 현장실태 조사를 통하여 모의설비 시스템을 구성하고 개발된 하드웨어와 소프트웨어를 정착하여 전압 및 전류에 대한 각각의 정상 및 이상신호를 분석하였다. 본 연구에서 제안한 전기화재 신호 분석용 시스템을 통하여 전기화재 감지장치의 기준값 설정과 전기재해 취약장소에 설치하여 전기화재를 조기에 경보하여 국민의 인적 물적 재산상의 손실을 방지할 수 있을 것으로 판단된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.3
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• pp.1079-1084
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• 2010

Existing fire detector modules providing a simple fire alarm function have many drawbacks such as high installation, management and maintenance costs, and low scalability. In this paper, an add-on type complex fire detector module with high scalability and functions of examining the receiving units for fire sensors and itself has been developed, which enhances the reliability, stability, and economic feasibility of the existing fire detector modules. Information on when and where fire occurs, provided by the developed module, enables people to extinguish the fire immediately and minimize the damage of lives and property and also to systematically manage the fire-fighting related history and contribute to the prevention of fire.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.276-279
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• 2009

Is introducing ship automation system for the safety of ship and work environment mend recently. Is endeavoring for sea safety and fire at sea prevention solidifying control of standard technology and safety supervision aspect in IMO but sea accident and ship fire are happening continuously. Because using Robot in artistic talent of ship in this treatise, studied that correspond to Risk and manage. Attach fire perception sensor for Robot's Risk confrontation, and because using infrared rays sensor, TOUCH SWITCH, sound perception sensor, gas perception sensor, light perception sensor that is threaded in Robot and is achieved, controlled Robot, and establish Low-High value the speed of sound output use and DC MOTOR and COM SEN of when indicate Risk confrontation to Robot and establish Robot's Risk confrontation administration action.