Journal of the Korea Computer Graphics Society (한국컴퓨터그래픽스학회논문지)

Korea Computer Graphics Society (한국컴퓨터그래픽스학회)
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Building Fire Monitoring and Escape Navigation System Based on AR and IoT Technologies

AR과 IoT 기술을 기반으로 한 건물 화재 모니터링 및 탈출 내비게이션 시스템

  • 왕문도 (동국대학교 VR.AR 테크놀로지학과) ;
  • 이승용 (동국대학교 컴퓨터.AI 학과) ;
  • 박상훈 (서강대학교 메타버스전문대학원) ;
  • 윤승현 (동국대학교 AI소프트웨어융합학부)
  • Received : 2024.06.15
  • Accepted : 2024.07.05
  • Published : 2024.07.25
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Abstract

This paper proposes a new real-time fire monitoring and evacuation navigation system by integrating Augmented Reality (AR) technology with Internet of Things (IoT) technology. The proposed system collects temperature data through IoT temperature measurement devices installed in buildings and automatically transmits it to a MySQL cloud database via an IoT platform, enabling real-time and accurate data monitoring. Subsequently, the real-time IoT data is visualized on a 3D building model generated through Building Information Modeling (BIM), and the model is represented in the real world using AR technology, allowing intuitive identification of the fire origin. Furthermore, by utilizing Vuforia engine's Device Tracking and Area Targets features, the system tracks the user's real-time location and employs an enhanced A* algorithm to find the optimal evacuation route among multiple exits. The paper evaluates the proposed system's practicality and demonstrates its effectiveness in rapid and safe evacuation through user experiments based on various virtual fire scenarios.

본 논문에서는 증강 현실 (AR) 기술과 사물 인터넷 (IoT) 기술을 융합하여 새로운 실시간 화재 모니터링 및 대피 내비게이션 시스템을 제안한다. 제안된 시스템은 건물 내에 설치된 IoT 온도 측정 디바이스를 통해 온도 데이터를 수집하고, 이를 IoT 플랫폼을 통해 MySQL 클라우드 데이터베이스에 자동으로 전송함으로써 실시간으로 정확한 데이터를 모니터링한다. 이후, 건축 정보 모델링 (BIM)을 통해 생성된 3D 건물 모델에 실시간 IoT 데이터를 가시화하고, AR 기술을 통해 현실 세계에 모델을 표현함으로써 직관적으로 화재 발생 위치를 파악할 수 있다. 또한, Vuforia 엔진의 Device Tracking 및 Area Targets 기능을 활용하여 사용자의 실시간 위치를 파악하고, 개선된 A* 알고리즘을 통해 여러 비상구 중 최적의 대피 경로를 찾는다. 본 논문에서는 다양한 가상 화재 시나리오를 기반으로 사용자 실험 평가를 진행하여 제안된 시스템의 실용성과 빠르고 안전한 대피 효과를 입증한다.

Keywords

Acknowledgement

이 논문은 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구이고(RS-2023-00251681), 정보통신기획평가원의 대학ICT연구센터사업(RS-2023-00259099)과 메타버스융합대학원(RS-2022-00156318)의 지원으로 수행되었음.

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