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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2023.8
- 수록면
- 887 - 897 (11page)
- DOI
- 10.9717/kmms.2023.26.8.887
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초록· 키워드
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The nature of fire is amorphous and its characteristics vary based on the space, environment, and materials involved. Particularly, early fire detection is a crucial task in preventing large-scale accidents. However, there is a significant lack of learnable early fire datasets for machine learning approaches. This study presents an early fire detection system tailored to specific spaces, achieved through a digital twin-based automatic fire learning data generation model. The proposed method starts by automatically generating realistic particle simulations to create synthetic fire data in RGB-D images. These images are matched to the view angle of monitoring cameras to replicate the digital twin environment closely resembling the actual space. In essence, our approach produces synthetic fire data that captures diverse fire scenarios unique to each specific location. Subsequently, these datasets are employed for transfer learning, enhancing the capabilities of state-of-the-art detection models. The improved models are then deployed on AIoT devices within the real space. This spatially optimized synthetic fire data generation process enhances the accuracy and reduces false detection rates in comparison to existing fire detection models that lack adaptability to specific spaces.
목차
ABSTRACT
1. 서론
2. 관련 연구
3. 제안한 디지털 트윈 기반 화재 조기 검출 시스템
4. 실험 결과
5. 결론
REFERENCE
참고문헌 (12)
참고문헌 신청
Smart City Korea(2021), https://smartcity.go.kr/en/%ec%86%8c%ea%b0%9c/ (accessed December 1, 2021).
S.ME. Sepasgozar, “Differentiating Digital Twin from Digital Shadow: Elucidating a Paradigm Shift to Expedite a Smart, Sustainable Built Environment,” Buildings, Vol. 11, Issue 4, 151, 2021.
A. Fuller, Z. Fan, C. Day, and C. Barlow, “Digital Twin: Enabling Technologies, Challenges and Open Research,” IEEE Access, Vol. 8, pp. 108952-108971, 2020.
M. Lee, W. Jung, and E. Kim, “A Study on the Disaster Safety Management Method of Underground Lifelines based on Digital Twin Technology,” Communications of the Korean Institute of Information Scientists and Engineers, Vol. 39, No. 2, pp. 16-24, 2021.
T.I. Zohdi, “A Machine-Learning Framework for Rapid Adaptive Digital-Twin Based Fire-Propagation Simulation in Complex Environments,” Computer Methods in Applied Me-chanics and Engineering, Vol. 363, 112907, 2020.
S.ME. Sepasgozar, “Differentiating Digital Twin from Digital Shadow: Elucidating a Paradigm Shift to Expedite a Smart, Sustainable Built Environment,” Buildings, Vol. 11, Issue 4, 151, 2021.
A. Fuller, Z. Fan, C. Day, and C. Barlow, “Digital Twin: Enabling Technologies, Challenges and Open Research,” IEEE Access, Vol. 8, pp. 108952-108971, 2020.
M. Lee, W. Jung, and E. Kim, “A Study on the Disaster Safety Management Method of Underground Lifelines based on Digital Twin Technology,” Communications of the Korean Institute of Information Scientists and Engineers, Vol. 39, No. 2, pp. 16-24, 2021.
T.I. Zohdi, “A Machine-Learning Framework for Rapid Adaptive Digital-Twin Based Fire-Propagation Simulation in Complex Environments,” Computer Methods in Applied Me-chanics and Engineering, Vol. 363, 112907, 2020.
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