Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
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¿µ¹®Á¦¸ñ(English Title) |
Deep learning based optimal evacuation route guidance system in case of structure fire disaster |
ÀúÀÚ(Author) |
ÀÓÀçµ·
±èÁ¤Áý
È«µÎÀÇ
Á¤È¸°æ
Jae Don Lim
Jung Jip Kim
Dueui Hong
Hoekyung Jung
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¿ø¹®¼ö·Ïó(Citation) |
VOL 23 NO. 11 PP. 1371 ~ 1376 (2019. 11) |
Çѱ۳»¿ë (Korean Abstract) |
±¸Á¶¹°¿¡¼ ÈÀç ¹ß»ý ½Ã ÈÀçÀÇ ¹ß»ý À§Ä¡¸¦ Á¤È®ÇÏ°Ô ÆľÇÇÏÁö ¸øÇØ ÈÀç Áø¾ÐÀÌ ¿ëÀÌÇÏÁö ¸øÇÏ´Â ¹®Á¦, ¿¬±â³ª À¯µ¶°¡½º·Î ½Ã¾ß È®º¸°¡ ¾î·Á¿î »óÅ¿¡¼ ºñ»ó±¸ ¹× Å»Ãâ·Î¿¡ ´ëÇÑ Á¤º¸¸¦ ¹æÇâÁö½Ã±â¿Í LED À¯µµµî¿¡ ÀÇÁ¸ÇÏ¿© À§Çè¿¡ ºüÁö´Â ¹®Á¦°¡ ºó¹øÈ÷ ¹ß»ýÇÏ°í ÀÖ´Ù. ÀÌ¿¡ º» ³í¹®¿¡¼´Â µö·¯´× ±â¹Ý(RNN) ±¸Á¶¹° Àç³ ½Ã ÃÖÀûÀÇ ´ëÇǷθ¦ ¾È³»ÇÒ ¼ö ÀÖ´Â ½Ã½ºÅÛ ¾Ë°í¸®ÁòÀ» Á¦½ÃÇÑ´Ù. ¼³Ä¡µÇ¾î ÀÖ´Â °¨Áö ¼¾¼¸¦ ÀÌ¿ëÇÏ°í, ¼¾¼º° °ËÃâµÈ µ¥ÀÌÅ͸¦ ¼¹ö·Î ½Ç½Ã°£ Àü¼ÛµÇ¸ç, °¨Áö ¼¾¼ ÁÖº¯ÀÇ ¿Âµµ, ¿, ¿¬±â, À¯µ¶°¡½º µîÀÇ Á¤º¸°¡ Àü´ÞµÈ´Ù. ±×¸®°í À̸¦ ºÐ¼®ÇÏ°í, ¼³Á¤µÈ ÀÓ°èÄ¡ ¹üÀ§ ³»¿¡ ÀÖ´Â °¡Àå ¾ÈÀüÇÑ À̵¿ °æ·Î¸¦ ÆÄÇÑ´Ù. À̶§ ±¸Á¶¹° ³»¿¡ ÀÖ´Â LED À¯µµµî°ú ¹æÇâÁö½Ã±â¿¡ ½Ç½Ã°£À¸·Î Á¤º¸¸¦ Àü´ÞÇÏ¿© À§Çè ¿ä¼Ò¸¦ ÇÇÇÒ ¼ö ÀÖ´Â ¼ºñ½º¸¦ Á¦°øÇØ ÁØ´Ù. ÀÌ´Â ±¸Á¶¹°ÀÇ °¢ ±¸¿ªº° ¿Âµµ, ¿, ¿¬±â, À¯µ¶°¡½ºÀÇ Á¤º¸¸¦ ÆľÇÇÒ ¼ö ÀÖ¾î, ±¸Á¶¹° Àç³ ½Ã ÃÖÀûÀÇ ´ëÇǷθ¦ ¾È³»¹ÞÀ» ¼ö ÀÖÀ» °ÍÀ̶ó°í »ç·áµÈ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
In case of fire in a structure, it is difficult to suppress fire because it can not accurately grasp the location of fire in case of fire. In this paper, we propose a system algorithm that can guide the optimal evacuation route in case of deep learning-based (RNN) structure disaster. The present invention provides a service to transmit data detected by sensors to a server in real time by using installed sensor, to transmit and analyze information such as temperature, heat, smoke, toxic gas around the sensor, to identify the safest moving path within a set threshold, to transmit information to LED guide lights and direction indicators in a structure in real time to avoid risk factors. This is because the information of temperature, heat, smoke, and toxic gas in each area of the structure can be grasped, and it is considered that the optimal evacuation route can be guided in case of structure disaster.
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Å°¿öµå(Keyword) |
´ëÇÇ·Î ¾È³»
µö·¯´×
¼¾¼
ÈÀç Àç³
Guide to evacuation
Deep Learning
Sensor
Fire disaster
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ÆÄÀÏ÷ºÎ |
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