• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.652-655
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• 2023

우리나라에서는 지난 10년간 매년 4만 건 내외의 화재가 발생하여 많은 인명 피해와 경제적 손실이 발생하고 있다. 화재가 발생했을 때는 화재를 신속히 진압하여 인명 피해와 경제적 손실을 최소화하여야 한다. 또한, 화재 사고를 예방하기 위해 화재의 발화 원인이 무엇인지 알아내야 한다. 기존의 화재 경보 시스템에서는 온도, 연기, 불꽃 센서 등으로 화재를 감지하였으나 오경보나 화재를 인식하지 못하는 문제, 화재 원인을 구분하지 못하는 문제 등이 있었다. 또한, 사람이 화재 발생을 인지하기까지 시간이 많이 소요될 수 있고 부재로 인해 화재 상황인식이 늦어질 수도 있는 문제가 있었다. 이러한 문제를 해결하기 위해 본 논문에서는 GCN(Graph Convolutional Network) 모델을 이용하여 화재 상황에서의 복합 센서 상황을 학습해서 실제 화재 사고가 발생했을 때 화재의 원인을 구분할 수 있는 모델을 제안한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.25-27
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• 2022

Recently, with the development of the 4th industry, environmental issues such as air pollution have become serious, and in particular, a lot of air pollutants are generated in industrial sites. There are various types of air pollutants, and among them, carbon monoxide is essential for fires occurring in industrial sites, so it should be possible to monitor in real time. In addition, there is a need for a remote monitoring system that can measure various environmental factors other than air pollutants in real time. In this paper, we propose a monitoring system using wireless communication to remotely measure the industrial environment. The proposed monitoring system collects data to the Arduino of the transmitter by using a carbon monoxide sensor, a combustible gas sensor, a temperature and humidity sensor, and a flame sensor, and then transmits it to the receiver using ZigBee. The transmitted data is stored in the database of the receiver Raspberry Pi, and the stored data can be monitored in real time through the monitoring system.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.245-247
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• 2022

컨테이너선에서 스위치보드와 리퍼컨테이너의화재 발생 전과 후를 CCTV 및 열화상카메라, 추가센서류로 상시 모니터링하여, 화재 전 이상감지와 화재 후 불꽃, 연기 등의 화재 종류를 선내 알림하여 즉시 조치할 수 있도록 효율적인 화물관리시스템을 설계하고, 정확도 높은 화재 감지를 목적으로 데이터 학습을 위한 영상 및 전류 데이터 수집과 실제 컨테이너 스위치보드 및 리퍼컨테이너 레이아웃을 모사한 Testbed를 구축하였습니다.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.201-205
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• 2007

This thesis aims to realize an intelligent home service robot that alerts the user to dangerous situations such as fires and gas leaks by utilizing wireless internet platforms in a cellular phone. The intelligent home service robot is composed of the following parts: The robot part consists of a gas sensor, a fire detector, a smoke sensor, ultrasonic sensors, motors, a camera and a Blue-tooth module and perceives various danger circumstances; The middleware part connects the robot part with the mobile part through the middleware applications, monitors the robot and notifies an emergency situation using SMS modules; The mobile part communicates with the middleware using TCP/IP protocol and controls the robot through various commands; The proposed scheme is to control the sensors of the robot part through and Atmega128 processor, and the mobile part was developed based on the WIPI platform. The robot and middleware parts will be installed in the household, and will be controled by mobile part from the outside.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.6
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• pp.1506-1514
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• 2015

In this paper, we proposed a forest fires prediction and detection system. It could provide a situation of fire prediction and detection methods using context awareness sensor. A fire occurs wide range of sensing a fire in a single camera sensor, it is difficult to detect the occurrence of a fire. In this paper, we propose an algorithm for real-time by using a temperature sensor, humidity, Co2, the flame presence information acquired and comparing the data based on multiple conditions, analyze and determine the weighting according to fire in complex situations. In addition, it is possible to differential management of intensive fire detection and prediction for required dividing the state of fire zone. Therefore we propose an algorithm to determine the prediction and detection from the fire parameters as an temperature, humidity, Co2 and the flame in real-time by using a context awareness sensor and also suggest algorithm that provide the path of fire diffusion and service the secure safety zone prediction.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.159-163
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• 2011

U-City의 안전을 위하여 안전한 전기공급과 전기안전 점검과 전송에 필요한 전기IT 인프라는 중대한 요소이다. U-City의 건설에 필요한 전기IT기기의 설계와 개발 및 제조를 하고 Test-bed에 설치하여 성능 평가를 한 후에 검증을 맡은 전기IT기기를 U-City 설치하여야 한다. 본 논문에서는 U-City 안전을 위한 전기IT기기에 대한 절연저항, 누설전류에 따르는 고온, 연기, Co2, 불꽃, 화재 등을 감지하는 센서를 부착하고, 발생할 수 있는 재난을 사전에 예방하기 위해 전기안전보호기술, 전기설비를 상시 감시할 수 있는 기반기술, 설비를 원격으로 관리할 수 있는 제품에 대한 성능평가와 시뮬레이션을 통해 U-City에 구축되려는 종합적인 전력통합감시시스템을 연구한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.3
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• pp.176-181
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• 2016

In this paper, the autonomous mobile robot control system for detecting fire was proposed using the wearable device based on EMG(Electromyogram) signal. Myo armband is used for detecting the user's EMG signal. The gesture was classified after sending the data of EMG signal to a computer using Bluetooth communication. Then the robot named 'uBrain' was implemented to move by received data from Bluetooth communication in our experiment. 'Move front', 'Turn right', 'Turn left', and 'Stop' are controllable commands for the robot. And if the robot cannot receive the Bluetooth signal from a user or if a user wants to change manual mode to autonomous mode, the robot was implemented to be in the autonomous mode. The robot flashes the LED when IR sensor detects the fire during moving.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.85-90
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• 2019

This paper is a study on IoT based map inside the building and fire perception system using microprocessor and LABVIEW program. The smart control system implemented in this paper is designed to identify the location of fire by using microprocessor, flame detection sensor, carbon monoxide sensor and temperature sensor, and to guide the optimal travel route through Zigbee communication. And the proposed system uses QR code to interoperate with smartphone. The coordinator control verified that the sensor value of the smart control system installed through the LABVIEW software was confirmed. The IoT based control system studied in this paper was implemented with Arduino mega board and LABVIEW software, and the operation status was confirmed by display device and coordination.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.7-15
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• 2022

Since the direct and indirect damage caused by the fire in the underground utility tunnel will cause great damage to society as a whole, it is necessary to make efforts to prevent and control it in advance. The most of the fires that occur in cables are caused by short circuits, earth leakage, ignition due to over-current, overheating of conductor connections, and ignition due to sparks caused by breakdown of insulators. In order to find the cause of fire at an early stage due to the characteristics of the underground utility tunnel and to prevent disasters and safety accidents, we are constantly managing it with a detection system using image analysis and making efforts. Among them, a case of developing a fire detection system using CCTV-based deep learning image analysis technology has been reported. However, CCTV needs to be supplemented because there are blind spots. Therefore, we would like to develop a high-performance acoustic-based deep learning model that can prevent fire by detecting the spark sound before spark occurs. In this study, we propose a method that can collect sound in underground utility tunnel environments using microphone sensor through development and experiment of prototype module. After arranging an acoustic sensor in the underground utility tunnel with a lot of condensation, it verifies whether data can be collected in real time without malfunction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.463-466
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• 2010

In this paper, CCTV based fire surveillance system should aim to development. Advantages and Disadvantages analyzed of Existing sensor-based fire surveillance system and video-based fire surveillance system. To national support U-City, U-Home, U-Campus, etc, spread the ubiquitous environment appropriate to fire surveillance system model and a fire judgement technology. For this study, Microsoft LifeCam VX-1000 using through the capturing images and analyzed for apple and tomato, Finally we used H.264. The client uses the Linux OS with ARM9 S3C2440 board was manufactured, the client's role is passed to the server to processed capturing image. Client and the server is basically a 1:1 video communications. So to multiple receive to video multicast support will be a specification. Is fire surveillance system designed for multiple video communication. Video data from the RGB format to YUV format and transfer and fire detection for Y value. Y value is know movement data. The red color of the fire is determined to detect and calculate the value of Y at the fire continues to detect the movement of flame.