• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2002년도 춘계학술대회 논문집
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• pp.92-97
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• 2002

By changing the excess air ratio which affects strongly to the combustion characteristics, the flame stability range in the metal fiber burner were found and the range of the blue flame male and radiant mode were distinguished by direct photography. The results in our experiments for the flame stability zone were from a=1.4($354 KW/m^2$) to a=2.06($240 KW/m^2$), and then the blue flame mode zone was form a=1.87($266 KW/m^2$) to a=2.06($240 KW/m^2$) and the radiant mode one was form a=1.4($354 KW/m^2$) to a =1.78($278 KW/m^2$). And the flame was not fired when a is less than the lean condition a=2.45($202 KW/m^2$).

• 대한기계학회:학술대회논문집
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• 대한기계학회 2002년도 학술대회지
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• pp.275-278
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• 2002

The purpose of this study is to investigate the combustion characteristics of the flat burner using metal fiber. By changing the excess air ratio which affects strongly to the combustion characteristics, the flame stability range in the metal fiber were found and the range of the blue flame mode and radiant mode were distinguished and $NOx\;and\;O_{2}$ distributions in combustor were measured at two conditions which represents the blue flame mode and radiant mode.

• 로봇학회논문지
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• 제13권4호
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• pp.237-247
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• 2018

In this paper, we describe a sensor module that monitors fire environment by analyzing fire characteristics. We analyzed the smoke characteristics of indoor fire. Six different environments were defined according to the type of smoke and the flame, and the sensors available for each environment were combined. Based on this analysis, the sensors were selected from the perspective of firefighter. The sensor module consists of an RGB camera, an infrared camera and a radar. It is designed with minimum weight to fit on the robot. the enclosure of sensor is designed to protect against the radiant heat of the fire scene. We propose a single camera mode, thermal stereo mode, data fusion mode, and radar mode that can be used depending on the fire scene. Thermal stereo was effectively refined using an image segmentation algorithm, SLIC (Simple Linear Iterative Clustering). In order to reproduce the fire scene, three fire test environments were built and each sensor was verified.