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날씨 데이터 기반 코디추천 스마트옷장 시스템

Weather Data-Based Coordination Recommendation Smart Wardrobe System

  • 이태훈 (남서울대학교 전자공학과) ;
  • 정휘 (남서울대학교 전자공학과) ;
  • 권장룡 (남서울대학교 전자공학과) ;
  • 백필규 (남서울대학교 전자공학과) ;
  • 이붕주 (남서울대학교 전자공학과)
  • 투고 : 2022.06.30
  • 심사 : 2022.08.17
  • 발행 : 2022.08.31

초록

기존의 옷장은 단순한 의류를 보관하는 용도로만 사용되어 왔었다. 단순히 옷들을 보관하는 기능만 있기 때문에 습도나 온도 같은 환경을 조절하려면 따로 제습제 등의 물품을 구매해서 비치하는 방법밖에 없어 불편함이 있었다. 본 논문에서는 기존 옷장에서 편의성을 증대시켜 자동으로 온습도 조절 및 여러 편의 기능에 대한 것을 추가하였으며 기능을 효율적으로 동작 시키기 위하여 실험을 통하여 기능을 동작 시키기 위한 센서의 위치를 정하였고 여러 편의 기능과 실험 데이터를 기반으로 센서를 설치한 옷장 개발과 더불어 최근 다년간 성장한 스마트 홈 시장과 스마트 폰 애플리케이션 시장의 흐름에 맞춰 옷장과 스마트폰의 블루투스 페어링을 통한 옷장 내부의 온습도 조절 기능 및 다른 기능을 스마트폰을 사용하여 사용자에 맞춘 의류선택기능과 애플리케이션 내의 날씨 데이터를 통해 옷장 내부의 옷을 날씨에 맞는 코디 추천 기능 등의 편의 기능을 구현하고자 한다.

Existing wardrobes have been used only for storing simple clothes. Since it has a function to store clothes, there is only one way to control the environment such as humidity or temperature, and there is only one way to purchase and store items such as a desiccant. In this paper, by increasing the convenience in the existing wardrobe, automatic temperature and humidity control and various convenient functions were added. In line with the smart home market and smart phone application market that have grown over the past several years, along with the development of a wardrobe with sensors, the temperature and humidity control function and other functions inside the wardrobe through Bluetooth pairing between the wardrobe and the smartphone can be customized to the user using a smartphone. Through the clothing selection function and the weather data in the application, we want to implement convenient functions such as the function of recommending clothes in the closet to match the weather.

키워드

참고문헌

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