• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.91-93
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• 2022

빨래 건조대는 국내에서 빨래 건조를 위해 주로 사용되지만, 건조 알림 기능이 없어 빨래 건조기에 비하여 사용상의 불편함이 따른다. 본 연구에서는 다항회귀(polynomial regression) 기계학습 모델을 사용하여 빨래 건조시간 예측이 가능한 스마트 빨래 건조 알림 시스템을 제안하였다. 제안된 다항회귀 알고리즘은 빨래 건조대에 부착된 수분센서로부터 측정된 수분량 데이터로부터 옷감 종류에 따른 빨래 건조 시간을 예측하는데 선형회귀보다 높은 정확도를 보였다(면 97.5>95.3%, 합성섬유 94.8>92.8%).

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.99-104
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• 2022

In this paper, we first intend to develop and introduce a smart laundry drying system for verandas that controls the drying rack by actively responding to climate change. The developed smart laundry drying system receives laundry location information through the app, then detects climate change in real time through data from the Korea Meteorological Administration such as temperature and humidity according to the location information, and automatically controls the laundry on the drying rack in case of rain. It acquires weather information through the Arduino humidity sensor and the Korea Meteorological Administration Open-API, which is used to control the switch bot by the Raspberry Pi. The user interface uses Blynk, and the switch bot controls the laundry. Our proposed system can detect bad weather and automatically control the laundry at a remote location to prevent damage to the laundry.