화재방호 설비 설계 자동화를 위한 선행연구 및 기술 분석Literature Review and Current Trends of Automated Design for Fire Protection Facilities
- Other Titles
- Literature Review and Current Trends of Automated Design for Fire Protection Facilities
- Authors
- 이광호
- Issue Date
- 12월-2020
- Publisher
- 토지주택연구원
- Keywords
- 객체탐지; 인공지능; 합성곱 신경망; 화재방호설비
- Citation
- LHI JOURNAL, v.11, no.4, pp.99 - 104
- Journal Title
- LHI JOURNAL
- Volume
- 11
- Number
- 4
- Start Page
- 99
- End Page
- 104
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/139638
- ISSN
- 20938829
- Abstract
- This paper presents the recent research developments identified through a review of literature on the application of artificial
intelligence in developing automated designs of fire protection facilities. The literature review covered research related to
image recognition and applicable neural networks. Firstly, it was found that convolutional neural network (CNN) may be
applied to the development of automating the design of fire protection facilities. It requires a high level of object detection
accuracy necessitating the classification of each object making up the image. Secondly, to ensure accurate object detection
and building information, the data need to be pulled from architectural drawings. Thirdly, by applying image recognition and
classification, this can be done by extracting wall and surface information using dimension lines and pixels. All combined,
the current review of literature strongly indicates that it is possible to develop automated designs for fire protection utilizing
artificial intelligence.
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Collections - College of Engineering > Department of Architecture > 1. Journal Articles
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