디지털정책학회지 (Journal of Digital Policy)

한국디지털정책학회 (The Society of Digital Policy and Management)
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유무선 카운팅 연동형 AI 영상분석 비상문 개폐 시스템 개발

Development of AI Image Analysis Emergency Door Opening and Closing System linked Wired/Wireless Counting

  • Cheol-soo, Kang (KNX Information & Communication Co., Ltd.) ;
  • Ji-yun, Hong (KNX Information & Communication Co., Ltd.) ;
  • Bong-hyun, Kim (School of Software, Major of Computer Engineering, Seowon University)
  • 투고 : 2022.10.21
  • 심사 : 2022.12.20
  • 발행 : 2022.12.28
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초록

위험상황 발생 시 비상구 역할을 하는 옥상은 소방법상 화재를 대비하여 개방되어 있어야 한다. 그러나, 옥상 문 개방 시 불법적인 출입, 범죄, 투신 등 각종 사건, 사고 발생의 장소가 되고 있다. 그러다보니, 범죄 및 각종 사건, 사고의 방지를 위하여 시설관리 측면에서 옥상 출입문을 폐쇄하는 것이 현실이다. 이에, 정부에서는 옥상 출입문에 전자식 자동개폐장치 설치를 의무화하는 내용의 주택건설기준 등에 관한 규정 입법을 추진하고 있다. 따라서, 본 논문에서는 지능형 비상문 개폐장치 시스템을 제안하였다. 이를 위해, 유무선 출입 카운팅 및 AI 영상분석을 연동하여 지능형 비상문 개폐 시스템을 개발하였다. 최종적으로, 장치상태 실시간 모니터링 이벤트 알람 중앙 집적 방식의 원격제어 및 이력관리 기능이 제공되는 무선통신 기반 통합 관리 플랫폼 구축이 가능하다.

In case of a dangerous situation, the roof, which serves as an emergency exit, must be open in case of fire according to the Fire Act. However, when the roof door is opened, it has become a place of various incidents and accidents such as illegal entry, crime, and suicide. As a result, it is a reality to close the roof door in terms of facility management to prevent crime, various incidents, and accidents. Accordingly, the government is pushing to legislate regulations on housing construction standards, etc. that mandate the installation of electronic automatic opening and closing devices on rooftop doors. Therefore, in this paper, an intelligent emergency door opening/closing device system is proposed. To this end, an intelligent emergency door opening and closing system was developed by linking wired and wireless access counting and AI image analysis. Finally, it is possible to build a wireless communication-based integrated management platform that provides remote control and history management in a centralized method of device status real-time monitoring and event alarm.

키워드

과제정보

This paper was supported by Start-up Growth Technology Development Project(S2960610) in 2022.

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