• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2006.05a
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• pp.82-85
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• 2006

With the fast growing number of skyscrapers and large ultrahigh apartment complexes, the concerns on fire caused by electricity also grow. Among about 30,000 fires recorded annually, roughly one third of them are hewn to be caused by electricity. If one of such high and densely populated buildings or apartments catches a fire, the consequence can potentially be quite catastrophic. However, with the rapid development of the techniques in the fields of communications and computers, electric power distribution systems for such buildings and apartments have been largely digitalized in recent years. More detailed informations on the operating status are now available, which enables more sophisticated monitoring and early detection of potential fire caused by electricity. In this paper, we present an inference technique that can be used as one of the basic techniques in building intelligent distribution panel systems that can effectively monitor, prevent and detect the occurrence of fire caused by electricity. The technique can accommodate production rules in linguistic expressions on high abstraction levels. Fire finding strategies can be easily modified to provide more effective countermeasures. Simulation results show that inference capabilities and thus the capability of fire monitoring in power distribution panel systems can be significantly enhanced with our approach.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.123-126
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• 2005

Wireless Sensor Networks will revolutionize applications such as environmental monitoring, home automation, and logistics. We developed forest fire surveillance system. In this paper, Considering the fact that in Korea, during November to May, forest fires occur very frequently causing catastrophic damages on the valuable environment, Although exists other forest fire surveillance system such as surveillance camera tower, infrared ray sensor system and satellite system. Preexistence surveillance system can't real-time surveillance, monitoring, database and automatic alarm. But, forest fire surveillance system(FFSS) support above. In this paper, we describes a system development approach for a wireless sensor network based FFSS that is to be used to measure temperature and humidity as well as being fitted with a smoke detector. Such a device can be used as an early warning fire detection system and real-time surveillance in the area of a bush fire or endangered public infrastructure. Once the system has being development, a mesh network topology will be implemented with the chosen sensor node with the aim of developing a sophisticated mesh network.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.246-248
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• 2021

This paper proposes a new general-purpose automatic fire detection system. And it deals with the contents of related research on how to design and develop for this system. The proposed system automatically notifies the user and the nearby fire department when a fire breaks out in a place where a fire alarm is installed. If this is the case, the nearby fire department can quickly confirm this fact and extinguish the fire at an early stage, thereby reducing human and property damage. The main targets of this system are houses and small buildings. The proposed fire alarm functions as a conventional fire alarm, and if a fire occurs, this fact is immediately transmitted to a nearby receiver through wireless data communication. The receiver in this paper communicates data using Korea's firefighting communication frequency band, and establishes one own network by installing it in various places to quickly receive fire alarm data at any time.

• Journal of KIBIM
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• v.6 no.3
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• pp.15-23
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• 2016

The purpose of this study is to present the possibility of adopting beacons to implement the fire evacuation guidance system in order to reduce the evacuation time for a fire in complex buildings. A beacon-based evacuation system can quickly detect a fire's origin, optimal path of evacuation involved with the exits and the location of evacuees using information collected by the proposed system. The assessment is conducted by integrating different scenario models including fire simulation. Based on the research result, beacon is an effective tool to warn potential hazards or to provide early detection and a safe escape.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.4_1
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• pp.722-733
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• 2024

According to the National Fire Agency, there are 1,810 waste recycling facilities, 2,094 waste treatment facilities, and 223 waste minimization facilities in Korea. Waste fires are characterized by high severity and are prone to reignition, and it is difficult to timely detect them. Waste fires consequently demand many firefighters, equipment, and time to extinguish. Notwithstanding this reality, waste is excluded from the category of special combustible materials in the Act on Installation and Management of Firefighting Systems, 2021 (the Act). Therefore, this study proposes that special combustible materials, including waste, should be incorporated into the Act, that fire detectors and photoelectric smoke detectors should be installed to enable early detection of fires, and that the use of water and foaming agents as firefighting equipment should be enforced.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.1-8
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• 2021

In this paper, we propose the construction of an IOT that monitors foresters' physical abnormalities in real time, performs emergency measures, and provides alarms for natural disasters or heatstroke such as a nearby forest fire or landslide. Nodes provided to foresters include 6-axis sensors, temperature sensors, GPS, and LoRa, and transmit the measured data to the network server through the gateway using LoRa communication. The network server uses 6-axis sensor data to determine whether or not a forester has any signs of abnormal body, and performs emergency measures by tracking GPS location. After analyzing the temperature data, it provides an alarm when there is a possibility of heat stroke or when a forest fire or landslide occurs in the vicinity. In this paper, it was confirmed that the real-time detection of physical abnormalities of foresters and the establishment of disaster early warning IOT is possible by analyzing the data obtained by constructing a node and a gateway and constructing a network server.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.5
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• pp.19-24
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• 2024

Global climate change is causing an increase in natural disasters around the world due to long-term temperature increases and changes in rainfall. Among them, forest fires are becoming increasingly large. South Korea experienced an average of 537 forest fires over a 10-year period (2013-2022), burning 3,560 hectares of forest. That's 1,180 soccer fields(approximately 3 hectares) of forest burning every year. This paper proposed an artificial intelligence based wildfire detection method using image and text information. The performance of the proposed method was compared with YOLOv9-C, RT-DETR-Res50, RT-DETR-L, and YOLO-World-S methods for mAP50, mAP75, and FPS, and it was confirmed that the proposed method has higher performance than other methods. The proposed method was demonstrated as a forest fire detection model of the early forest fire detection system in the Gangwon State, and it is planned to be advanced in the direction of fire detection that can include not only forest areas but also urban areas in the future.

• Journal of the Korean Society of Safety
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• v.32 no.2
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• pp.46-51
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• 2017

This paper presents classification of domestic fire detector using response time index. Response time is measured using fire detector distributed in Korea, and the response time index is estimated. Plunge test prescribed by FM is conducted to measure response time of fire detector. The detector used to test is fixed temperature type(thermistor and bimetal type) and rate of rise temperature type(thermistor and pneumatic type). The nominal operation temperature of fixed temperature type detector is $70^{\circ}C$ and rate of rise temperature is $15^{\circ}C/min$. The fixed temperature type is measured 7 products, and the rate of rise temperature type is measured 5 products. The results show that in case of fixed temperature type(thermistor) is classified "Quick" or "Standard" and fixed temperature type(bimetal) is not classified. The rate of rise temperature type(thermistor) is classified "Fast" or "Ultra Fast" and the rate of rise temperature type(pneumatic) is classified "Very Fast" or "Ultra Fast". The pneumatic type shows more fast response than thermistor type. Also these results indicate the fixed temperature type(bimetal) is not suitable for early stage fire detection.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.1
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• pp.25-37
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• 2024

The objective of this study was to create intelligent rail robots that are optimized for facility management and implement digital twin systems for smart road tunnel management. An autonomous surveillance system is formed by combining the sensing platform consisting of railing robots, fixed cameras and environmental detection sensors with the digital twin data platform technology for tunnel monitoring and early fire suppression. In order to develop mobile rail robots for fire extinguishing, we also designed and manufactured robots for extinguishing & monitoring and fire extinguishing devices, and then we examined the optimization of all parts. Our next step was to build a digital twin for road tunnel management by developing continuous image display system and implementing 3D modeling. After constructing prototypes, we attempted simulations by configuring abnormal symptom scenarios, such as vehicles fires. This study's proposal proposes high-accuracy risk prediction services that will enable intelligent management of risks in the tunnel with early response at each stage, using the data collected from the intelligent rail robots and digital twin systems.

• Journal of the Korean Society for Nondestructive Testing
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• v.24 no.5
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• pp.494-498
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• 2004

Fire accidents often happen in large buildings because large buildings are equipped with heavy electrical wiring and piping. When fire is to be occurred in those buildings, it is very dangerous to People and building structures. Therefore, multi-point wireless temperature sensors for large buildings are necessary in order to detect fire in the early time and thus to minimize the loss. A wireless device was composed of the transmitter and receiver. The specification of this device was as follows: 915MHz of transmitted frequency, 4 channels, 9600bps of the transmitted speed, and 10mW of the transmitted power. We confirmed through experiment that the temperature was well sensed and fire location was determined by the 4 channel sensors of the developed sensor system.