The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Risk Situation Detection Safety Helmet using Multiple Sensors

다중 센서를 이용한 위험 상황 감지 안전모

  • Woo-Yong, Choi (Dept. of Electronic Engineering, Namseoul University) ;
  • Hyo-Sang, Kim (Dept. of Electronic Engineering, Namseoul University) ;
  • Dong-Hyeon, Ko (Dept. of Electronic Engineering, Namseoul University) ;
  • Jang-Hoon, Lee (Dept. of Electronic Engineering, Namseoul University) ;
  • Seung-Dae, Lee (Dept. of Electronic Engineering, Namseoul University)
  • 최우용 (남서울대학교 전자공학과) ;
  • 김효상 (남서울대학교 전자공학과) ;
  • 고동현 (남서울대학교 전자공학과) ;
  • 이장훈 (남서울대학교 전자공학과) ;
  • 이승대 (남서울대학교 전자공학과)
  • Received : 2022.10.30
  • Accepted : 2022.12.17
  • Published : 2022.12.31
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Abstract

In this paper, we dealt with a safety helmet for detecting dangerous situations that focuses on falling accidents and gas leaks, which are the main causes of industrial accidents. the fall situation range was set through gravity acceleration measurement using an acceleration sensor, and as a result, a fall detection rate of 80% could be confirmed. .In addition, the dangerous gas concentration was measured through a gas sensor, and when a digital value of 188 or more was output through a serial monitor, it was determined as a gas dangerous situation, and a fall warning message and a gas warning message could be checked through a smart-phone application produced based on the app inventor program.

본 논문에서는 산업 재해의 주요 원인인 추락 및 낙상 사고와 가스 누출에 중점을 둔 위험 상황 감지 안전모를 다루었다. 가속도 센서를 이용한 중력 가속도 측정을 통해 추락 상황 범위를 설정하였으며, 그 결과 80%의 추락 및 낙상 감지율을 확인할 수 있었다. 또한 가스 센서를 통해 위험 가스 농도를 측정하여 시리얼 모니터를 통해 188 이상의 디지털 값이 출력될 경우 가스 위험 상황으로 판단하였다, 앱 인벤터 프로그램을 기반으로 제작한 스마트폰 어플을 통해 추락 및 낙상 상황 경고 메시지와 가스 경고 메시지를 확인할 수 있도록 구현하였다.

Keywords

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