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다중 센서 데이터를 활용한 시약장 위험상황 식별 시스템

Reagent Cabinet Hazard Situation Identification System Utilizing Multiple Sensor Data

  • Lee, Hyunju (Department of Computer Engineering, Paichai University) ;
  • Choi, Hyungwook (Department of Computer Engineering, Paichai University) ;
  • Jung, Hoekyung (Department of Computer Engineering, Paichai University)
  • 투고 : 2017.10.10
  • 심사 : 2017.12.16
  • 발행 : 2018.01.31

초록

최근 실험실에서 발생하는 안전사고가 다양한 형태로 발생함에 따라 실험실의 안전사고를 줄일 수 있는 시스템이 요구되고 있다. 기존 시스템은 온도, 습도의 변화에 따라 위험상황을 식별하지만 위험상황의 유형을 알 수 없고 기기의 동작이 수동으로 이루어지는 단점이 있다. 이에 본 논문에서는 다중 센서를 활용하여 시약장의 위험상황을 식별하고 기기를 자동으로 동작시키는 시스템을 제안한다. 시약장의 내부 환경은 센서들을 통해 실시간으로 측정되며 센서 데이터는 위험상황을 식별하는 것에 활용된다. 또한 위험상황이 식별되었을 경우 이에 맞는 기기를 선택하고 자동으로 동작시킨다. 이와 같이 시약장의 위험상황을 식별하고 기기를 자동으로 동작시킴으로써 시약장에서 발생하는 안전사고를 줄일 수 있을 것으로 사료된다.

Recently, safety accidents that occur in laboratories have occurred in various forms, so that a system that can reduce safety accidents in laboratories is required. The existing system identifies the danger situation according to the change of the temperature and the humidity, but the type of the danger situation is not known and the operation of the device is manually performed. Therefore, in this paper, we propose a system that identifies the danger situation of a reagent cabinet using multiple sensors and automatically operates the device. The internal environment of the reagent cabinet is measured in real time through the sensors and the sensor data is used to identify the danger situation. Also, when a danger situation is identified, the appropriate device is selected and operated automatically. In this way, identification of the danger situation of the reagent cabinet and automatic operation of the device will reduce the safety accidents occurring in the reagent cabinet.

키워드

참고문헌

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