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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ ³í¹®Áö

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Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) °Ç¹° Ư¼º°ú ½Ã°£Àû º¯È­°¡ ¼Ò¹æ½Ã¼³°ü¸®½Ã½ºÅÛÀÇ È­Àç¾Ë¶÷¿¡ ¹ÌÄ¡´Â ¿µÇ⠺м® ¿¬±¸
¿µ¹®Á¦¸ñ(English Title) Analysis of Building Characteristics and Temporal Changes of Fire Alarms
ÀúÀÚ(Author) ÀÓ°ü¹¬   °í¼³Å   ±èÀ¯½Å   ¹Ú°Çö   Gwanmuk Lim   Seoltae Ko   Yoosin Kim   Keon Chul Park                       
¿ø¹®¼ö·Ïó(Citation) VOL 22 NO. 04 PP. 0083 ~ 0098 (2021. 08)
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(Korean Abstract)
º» ¿¬±¸´Â ¼­¿ï¼Ò¹æÀç³­º»ºÎÀÇ IoT ¼Ò¹æ½Ã¼³°ü¸®½Ã½ºÅÛ¿¡ ±â·ÏµÈ ½Ç½Ã°£ È­Àç¾Ë¶÷ ¹ß»ý µ¥ÀÌÅ͸¦ ºÐ¼®ÇÏ¿©, È­Àç¾Ë¶÷ ¹ß»ý ¿µÇâ¿äÀÎÀ» ±Ô¸íÇÏ°í À̸¦ ¹ÙÅÁÀ¸·Î È¿°úÀûÀÎ È­Àç»ç°í ¿¹¹æü°è¸¦ ±¸ÃàÇϱâ À§ÇÑ ÇмúÀû ½Ã»çÁ¡À» Á¦½ÃÇϴµ¥ ÀÖ´Ù. µµ½ÉÁö¿ªÀ» Áß½ÉÀ¸·Î °íÃþ¡¤º¹Çհǹ°ÀÇ ¼ö°¡ Áõ°¡ÇÏ°í ±âÁ¸ °Ç¹°µµ °íµµÈ­µÇ¸é¼­, È­Àç µî ºñ»ó»óȲ ¹ß»ý ½Ã »óÁÖÀοøÀÇ ½Å¼ÓÇÑ ´ëÇÇ¿Í Ãʵ¿´ëÀÀÀ» µ½´Â ÀÚµ¿È­ÀçŽÁö¼³ºñÀÇ ¼³Ä¡°¡ ´Ã¾î³ª°í ÀÖ´Ù. ±×·¯³ª È­Àç»óȲÀ» À߸ø ŽÁöÇÏ¿© Á¤È®¼ºÀÌ ³·¾ÆÁö¸é »óÁÖÀοøÀÇ ºÒÆíÀÌ ´Ã¾î³ª°í ½Å·Ú¼ºµµ ÁÙ¾îµé±â ¶§¹®¿¡, È¿À²ÀûÀÎ Á¡°Ë°ú °Ç¹° ȯ°æ Á¶»ç¸¦ ÅëÇØ ½Ã½ºÅÛÀ» °³¼±ÇÒ ÇÊ¿ä°¡ ÀÖ´Ù. À̹ø ¿¬±¸´Â À߸øµÈ È­ÀçŽÁö°¡ ¿ëµµ³ª ½Ã°£ µî °Ç¹° Ư¼º ¹× ¿ÜºÎ ȯ°æ¿¡ ±âÀÎÇÔÀ» ¹àÈ÷°í, ÀÌ¿¡ ±Ù°ÅÇÏ¿© È¿À²ÀûÀÎ ½Ã½ºÅÛ Á¡°Ë°ú °Ç¹° ȯ°æ °³¼±ÀÌ ÇÊ¿äÇÔÀ» °­Á¶ÇÏ´Â °Í¿¡ ¸ñÀûÀ» µÎ°íÀÚÇÏ¿´´Ù. ºÐ¼® °á°ú, °Ç¹°ÀÇ ±Ô¸ð(¿¬¸éÀû)°¡ È­Àç¾Ë¶÷ ¹ß»ý¿¡ °¡Àå Å« ¿µÇâÀ» ³¢ÃÆ°í ¹Î°£ °Ç¹°, RÇü ¼ö½Å±âÀÎ °Ç¹°, °íÀåÀϼö ¶Ç´Â °æÁ¾Â÷ ´ÜÀϼö°¡ ¸¹Àº °Ç¹°¿¡¼­ È­Àç¾Ë¶÷ ¹ß»ýÀÌ ³ô¾ÆÁö´Â °ÍÀ¸·Î ³ªÅ¸³µ´Ù. ¶ÇÇÑ °Ç¹°ÀÇ ÁÖ¿ëµµ¿¡ µû¶ó È­Àç¾Ë¶÷ ¹ß»ýÀÇ ¿µÇâ¿äÀÎÀÌ ´Ù¸£°Ô ³ªÅ¸³ª±âµµ ÇÏ¿´´Ù. ½Ã°£ÀûÀ¸·Î´Â ÆòÀÏ ÁÖ°£ »ç¶÷µéÀÇ ÀÏ»ó È°µ¿ ÆÐÅÏ(¿ÀÀü 9½Ã~¿ÀÈÄ 6½Ã)À» °ÅÀÇ ±×´ë·Î µû¸£´Â °ÍÀ¸·Î ³ªÅ¸³µÀ¸¸ç, ¿ÀÀü 10½Ã °æ, ¿ÀÈÄ 2½Ã °æ¿¡ °¢°¢ ÃÖ°íÄ¡¸¦ ±â·ÏÇß´Ù. ¿¬±¸¸¦ ÅëÇØ ½Ã½ºÅÛ ³»ºÎ Á¡°Ë°ú ÇÔ²² È­Àç¾Ë¶÷ ¹ß»ý¿¡ ¿µÇâÀ» ³¢Ä¡´Â °Ç¹° ȯ°æ Á¶»çµµ ÇÊ¿äÇÔÀ» °­Á¶ÇÏ°í, ÈÄ¼Ó ¿¬±¸¿Í ½Ã½ºÅÛ °íµµÈ­¸¦ À§ÇØ ½Ç½Ã°£ °Ç¹° ȯ°æ Á¤º¸¸¦ Ãß°¡ µ¥ÀÌÅÍÈ­ÇÏ´Â ¹æ¾È µîÀÇ Á¦¾ÈÀ» ÇÏ¿´´Ù.
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(English Abstract)
The purpose of this study to find the factors influencing the fire alarms using IoT firefighting facility management system data of Seoul Fire & Disaster Headquarters, and to present academic implications for establishing an effective prevention system of fire situation. As the number of high and complex buildings increases and former bulidings are advanced, the fire detection facilities that can quickly respond to emergency situations are also increasing. However, if the accuracy of the fire situation is incorrectly detected and the accuracy is lowered, the inconvenience of the residents increases and the reliability decreases. Therefore, it is necessary to improve accuracy of the system through efficient inspection and the internal environment investigation of buildings. The purpose of this study is to find out that false detection may occur due to building characteristics such as usage or time, and to aim of emphasizing the need for efficient system inspection and controlling the internal environment. As a result, it is found that the size(total area) of the building had the greatest effect on the fire alarms, and the fire alarms increased as private buildings, R-type receivers, and a large number of failure or shutoff days. In addition, factors that influencing fire alarms were different depending on the main usage of the building. In terms of time, it was found to follow people's daily patterns during weekdays(9 am to 6 pm), and each peaked around 10 am and 2 pm. This study was claimed that it is necessary to investigate the building environment that caused the fire alarms, along with the system internal inspection. Also, it propose additional recording of building environment data in real-time for follow-up research and system enhancement.
Å°¿öµå(Keyword) ¼Ò¹æ½Ã¼³°ü¸®½Ã½ºÅÛ   ÀÚµ¿È­ÀçŽÁö¼³ºñ   È­Àç¾Ë¶÷   È­Àç°¨Áö±â   ½Ç½Ã°£½ÅÈ£ºÐ¼®   Fire-fighting Facility Management System   Automatic Fire Detection Facility   Fire Alarm   Fire Detector   Real-time Sensing Analysis                    
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