인공지능기반 창호환기시스템 연구 동향 분석Research Trends Analysis of Window Ventilation System Based on Artificial Intelligence
- Authors
- Lee, Hyo Eun; Yang, Young Kwon; Kang, In Sung; Kim, Tae Won; Moon, Jin Woo; Park, Jin Chul
- Issue Date
- Dec-2017
- Publisher
- 한국생태환경건축학회
- Keywords
- Artificial Intelligence; Internet of Things; Window Ventilation System; Research Trends; Market condition; 인공지능; 사물인터넷; 창호환기시스템; 연구동향; 시장현황
- Citation
- KIEAE Journal, v.17, no.6, pp 159 - 164
- Pages
- 6
- Journal Title
- KIEAE Journal
- Volume
- 17
- Number
- 6
- Start Page
- 159
- End Page
- 164
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/5154
- DOI
- 10.12813/kieae.2017.17.6.159
- ISSN
- 2288-968X
2288-9698
- Abstract
- Purpose: According to the 4th industrial revolution, interest in artificial intelligence is increasing in the field of architecture. However, there are few studies that applied artificial intelligence in the field of architecture.
Therefore, this study compares and analyzes the artificial intelligence researches in domestic and overseas architectural and window areas in depth and grasps the technology applicable to window ventilation systems based on artificial intelligence. Method: A total of 456 papers were searched by using domestic and foreign scholarly search engines with kewords;“Artificial Intelligence”, “Artificial Neural Network”,“Machine Learning”, “Support Vector Machine”, “Genetic Algorithm”, “Building”, “Architecture”, “Window Ventilation System”, “Smart Window”, “Smart Ventilation”. Result: Research using artificial intelligence in the field of architecture has been steadily increasing. Among them, there are 266 studies(58.3%) in the field of building environmental facilities. In addition, 312 cases of window system research were investigated, and 115 cases of ventilation related research were 36.9%. The results of this study will be used as basic data for the development of window ventilation system based on artificial intelligence.
Purpose: According to the 4th industrial revolution, interest in artificial intelligence is increasing in the field of architecture. However, there are few studies that applied artificial intelligence in the field of architecture.
Therefore, this study compares and analyzes the artificial intelligence researches in domestic and overseas architectural and window areas in depth and grasps the technology applicable to window ventilation systems based on artificial intelligence. Method: A total of 456 papers were searched by using domestic and foreign scholarly search engines with kewords;“Artificial Intelligence”, “Artificial Neural Network”,“Machine Learning”, “Support Vector Machine”, “Genetic Algorithm”, “Building”, “Architecture”, “Window Ventilation System”, “Smart Window”, “Smart Ventilation”. Result: Research using artificial intelligence in the field of architecture has been steadily increasing. Among them, there are 266 studies(58.3%) in the field of building environmental facilities. In addition, 312 cases of window system research were investigated, and 115 cases of ventilation related research were 36.9%. The results of this study will be used as basic data for the development of window ventilation system based on artificial intelligence.
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