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Çѱ¹»ý¹°È¯°æÁ¶ÀýÇÐȸ / v.20, no.3, 2011³â, pp.169-175
À¯ºñÄõÅͽº ½Ä¹°°øÀåÀÇ ÅëÇÕȯ°æ°ü¸®¸¦ À§ÇÑ ÀûÀÀÇü ´º·Î-ÆÛÁö Ã߷нà ½ºÅÛ ±â¹ÝÀÇ ÀÚµ¿Á¦¾î½Ã½ºÅÛ ¼³°è
( Design of Adaptive Neuro-Fuzzy Inference System Based Automatic Control System for Integrated Environment Management of Ubiquitous Plant Factory )
¼­±¤±Ô;±è¿µ½Ä;¹ÚÁ¾¼·; »ó¸í´ëÇб³ °æ¿µ°øÇаú;»ó¸í´ëÇб³ ½Ä¹°»ê¾÷°øÇаú;»ó¸í´ëÇб³ °Ç¼³½Ã½ºÅÛ°øÇаú;
 
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º» ¿¬±¸¿¡¼­´Â À¯ºñÄõÅͽº ½Ä¹°°øÀåÀÇ Àç¹èȯ°æ¿¡ ÇÊ¿äÇÑ ¿ä¼ÒµéÀÇ ¼¾¼­ ³×Æ®¿öÅ©¸¦ ±¸¼ºÇϰí ÀÚµ¿À¸·Î °¨ÁöÇÏ¿© ÀûÀÀÇü ´º·Î-ÆÛÁö Ã߷нýºÅÛÀ» ÅëÇÏ¿© ȯ°æº¯È­¸¦ Ãß·ÐÇÏ¿© ½Ä¹°°øÀåÀÇ Àç¹èȯ°æÀ» ÀûÀýÇÏ°Ô Á¦¾îÇÒ ¼ö ÀÖ´Â »õ·Î¿î ÀÚµ¿Á¦¾î½Ã½ºÅÛÀÇ ÇÁ·¹ÀÓ¿öÅ©¸¦ Á¦¾ÈÇϰí, À̸¦ ¼³°èÇÏ¿´´Ù. À¯ºñÄõÅͽº ½Ä¹°°øÀå ȯ°æÀ» Á¦¾îÇϱâ À§ÇÏ¿© ½Ä¹°°øÀåÀÇ Àç¹èȯ°æ¿¡ ¿µÇâÀ» ¹ÌÄ¡´Â ȯ°æ¿ä¼ÒÀÎ ½Ç³»¿Âµµ, ±Ù±Ç¿Âµµ, ½Àµµ, ±¤µµ, $CO_2$ ³óµµ¸¦ ÃøÁ¤ÇÒ ¼ö ÀÖ´Â ¼¾¼­ ³×Æ®¿öÅ©¸¦ ±¸¼ºÇϰí ÃøÁ¤µÈ ȯ°æ¿ä¼ÒÀÇ º¯È­¿¡ µû¶ó ·¥ÇÁ, ȯ±â, ½Àµµ, $CO_2$ ³óµµ, ¿Âµµ¸¦ Á¦¾îÇÒ ¼ö ÀÖ´Â ÀåÄ¡¸¦ ÀÚµ¿À¸·Î Á¦¾îÇÒ ¼ö ÀÖ´Â ½Ä¹°°øÀå ÀÚµ¿Á¦¾î½Ã½ºÅÛÀ» ¼³°èÇÏ¿´´Ù. À̸¦ À§ÇÏ¿© º» ¿¬±¸¿¡¼­´Â ¼¾¼­¸¦ ÅëÇÏ¿© ¹Þ¾ÆµéÀÌ´Â ÀԷ°ªÀ» ÆÛÁö¼Ò¼ÓÇÔ¼ö·Î º¯È­Çϰí ÀûÀÀÇü ´º·Î-ÆÛÁö½Ã½ºÅÛ¿¡ µû¶ó Ãß·ÐÇÏ°í Æò°¡ÇÏ¿© º¸´Ù Á¤¹ÐÇÏ°Ô ½Ä¹°°øÀåÀ» ÀÚµ¿À¸·Î Á¦¾îÇÒ ¼ö ¾Ë°í¸®ÁòÀ» °³¹ßÇÏ¿´°í À̸¦ ±¸ÇöÇÏ¿´´Ù. °³¹ßµÈ ÀÚµ¿Á¦¾î½Ã½ºÅÛÀ» »óÃß ½Ä¹°°øÀå¿¡ Àû¿ëÇÑ °á°ú ¸¸Á·½º·¯¿î ½ÃÇè°á°ú¸¦ ¾òÀ» ¼ö ÀÖ¾ú´Ù. ÇâÈÄ ¿¬±¸·Î´Â ½Ä¹°°øÀå¿¡¼­ Àç¹èÇϰí ÀÖ´Â ÀÛ¹°º° »ýÀå¸ðµ¨ÀÇ ÀûÇÕµµ °ËÁ¤ ¹× °³¼±À» À§ÇÏ¿©, ÀÛ¹°º° Àç¹è±ÔÄ¢À» º¸´Ù »ó¼¼È÷ µµÃâÇÏ´Â °ÍÀÌ ÇÊ¿äÇϰí, ÀÛ¹°ÀÇ Àç¹è¿¡ ÇÊ¿äÇÑ Áö½ÄÀ» º¸´Ù Á¤·®ÀûÀ¸·Î Ç¥ÇöÇϰí Áö½Ä»ó¿¡ ³»Æ÷Çϰí ÀÖ´Â ºÒÈ®½Ç¼ºÀ» ÇØ°áÇÏ´Â °ÍÀÌ ÇÊ¿äÇÏ´Ù. ´õ ³ª¾Æ°¡ ½Ä¹°°øÀå¿¡¼­ ȯ°æÀÎÀÚ°£ÀÇ »óÈ£°ü·Ã¼ºÀ» º¸´Ù Á¤¹ÐÇÏ°Ô ¼ö½ÄÈ­Çϰí À̸¦ Ãß·ÐÇÒ ¼ö ÀÖ´Â Á¤¹ÐÇÏ°í °úÇÐÀûÀÎ ÀÚµ¿Á¦¾î½Ã½ºÅÛÀÇ °³¹ßÀÌ ÇÊ¿äÇÏ´Ù.
The adaptive neuro-fuzzy inference system (ANFIS) based automatic control system framework was proposed for integrated environment management of ubiquitous plant factory which can collect information of crop cultivation environment and monitor it in real-time by using various environment sensors. Installed wireless sensor nodes, based on the sensor network, collect the growing condition's information such as temperature, humidity, $CO_2$, and the control system is to monitor the control devices by using ANFIS. The proposed automatic control system provides that users can control all equipments installed on the plant factory directly or remotely and the equipments can be controlled automatically when the measured values such as temperature, humidity, $CO_2$, and illuminance deviated from the decent criteria. In addition, the better quality of the agricultural products can be gained through the proposed automatic control system for plant factory.
 
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½Ä¹°°øÀå;À¯ºñÄõÅͽº ÀûÀÀÇü ´º·Î-ÆÛÁö Ãß·Ð ½Ã½ºÅÛ;ÅëÇÕȯ°æ°ü¸®;adaptive neuro-fuzzy inference system;integrated environment management;plant factory;ubiquitous;
 
»ý¹°È¯°æÁ¶ÀýÇÐȸÁö / v.20, no.3, 2011³â, pp.169-175
Çѱ¹»ý¹°È¯°æÁ¶ÀýÇÐȸ
ISSN : 1229-4675
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO201106654862163)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
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