Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Distributed IoT Sensor based Laboratory Safety Management System

분산 IoT센서 기반 실험실 안전관리 시스템

  • Jeong, Daejin (Department of Computer Engineering, Paichai University) ;
  • Kim, Jaeyoon (Department of Computer Engineering, Paichai University) ;
  • Bae, Sangjung (Department of Computer Engineering, Paichai University) ;
  • Jung, Hoekyung (Department of Computer Engineering, Paichai University)
  • Received : 2018.09.15
  • Accepted : 2018.11.08
  • Published : 2019.01.31
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Abstract

Storage cabinet in a lab in these days measures various environmental factors in real-time with IoT sensors. Preexisting system collects sensor data, analyze a risk and then command other equipment. Such centralized control system tends to have an issue with of speed slowing down. It's because when there are more storage cabinets, there are more data to process. In order to solve this issue, this report addresses decentralized IoT sensor based lab safety control system. It can analyze internal state of storage cabinet to identify any hazardous situations and effectively control them. Such decentralized control system using sensor modules for internal environment of the cabinet storage and automated control algorithm based on administrator's log history can manage any hazardous situations by automated control of environment factors of inside a lab. It would allow users to deal with a hazard if it happens. Even better, it can prevent it to happen from the beginning.

최근 실험실에서 사용하는 시약장은 IoT 기반 다양한 센서들을 활용하여 내부 환경을 실시간으로 측정하고 사용자들에게 서비스를 제공한다. 센서 데이터를 수집한 후 서버 내에서 위험상황을 식별하고 기기들에게 동작 명령을 전송하게 된다. 이와 같은 중앙 집중형 관리시스템은 여러 대의 시약장에서 측정되는 센서 데이터들을 전송받고 처리하게 될 경우 시약장의 수가 증가할 때마다 데이터 처리 속도가 점차 증가하게 되는 문제가 발생할 수 있다. 이를 해결하기 위해 본 논문에서는 중앙 집중형이 아닌 분산 환경에서 시약장 내부 환경을 분석하여 위험상황의 식별 및 기기 제어를 수행할 수 있는 분산 제어가 가능한 분산 IoT 센서 기반 실험실 안전관리 시스템에 대해 연구한다. 이와 같이 분산형 제어가 가능한 센서 모듈을 이용한 시약장 내부 환경 제어 통해 위험상황에 대한 식별 및 대처를 자동으로 진행함으로써 기존의 시약장과 실험실을 관리하는 시스템들보다 신속한 대처 및 안전관리가 이루어졌음을 확인하였다.

Keywords

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Fig. 1 Manual Control System Architecture

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Fig. 2 Automatic Control System Client Flow

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Fig. 3 Architecture of Laboratory Safety Management System

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Fig. 4 Dangerous Situation Identification

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Fig. 5 ERD of Laboratory Safety Management System

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Fig. 6 Configuration of Laboratory Management System

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Fig. 7 Control Board Main Page

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Fig. 8 Application Main Page

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Fig. 9 Experimental Results of Existing System and Proposed System

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