基本信息:
- 专利标题： 기계 학습을 이용한 실내 표면 온도와 결로를 예측하는 결로 예측 시스템 및 방법
- 专利标题（英）：KR20210025920A - System and Method for Predicting Indoor Surface Temperature and Indoor Condensation Using Machine Learning
- 申请号：KR20190105945 申请日：2019-08-28
- 公开(公告)号：KR20210025920A 公开(公告)日：2021-03-10
- 优先权： KR20190105945 2019-08-28
- 主分类号： G06F30/00
- IPC分类号： G06F30/00 ; F24F11/00 ; G01K1/14 ; G06F17/11 ; G06Q50/10
摘要：
기계학습을이용한실내표면온도와결로를예측하는결로예측시스템및 방법은실내온도와실외온도의온도변화에따라결로가발생할실내의표면온도를기계학습하고, 이에따라실내온도와실외온도에대한창문내측면의표면온도를추정할수 있는효과가있다. 본발명은이슬점온도와창문내측면의표면온도추정치의시간에따른변화패턴을모니터링하여결로를판단함으로써사전환기작업을통해결로를사전에예방할수 있는효과가있다.
摘要（英）：
The condensation prediction system and method that predicts indoor surface temperature and condensation using machine learning machine learns the indoor surface temperature where condensation will occur according to the temperature change of the indoor temperature and the outdoor temperature. There is an effect of estimating the surface temperature of the inner surface.
The present invention has an effect of preventing condensation in advance through a pre-ventilation operation by determining condensation by monitoring a pattern of changes over time in the dew point temperature and the estimated surface temperature of the window inner surface.