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Development of IoT-based real-time Toxic Chemical management System

IoT 기반의 실시간 유해 화학물 관리 시스템 개발

  • 강민수 (을지대학교 의료IT마케팅학과) ;
  • 임춘화 (을지대학교 의학과) ;
  • 정용규 (을지대학교 의료IT마케팅학과) ;
  • 이민호 (을지대학교 식품외식산업학과)
  • Received : 2016.08.02
  • Accepted : 2016.10.07
  • Published : 2016.10.31

Abstract

Recent accidents caused by toxic chemicals and the social problems caused by frequent. As of 2010, there are more than 100,000 types of deadly toxic chemicals being distributed throughout Korea, and severely intoxicated patients along with an enormous number of patients can be induced at the time of an accident involving deadly toxic chemicals. Internationally, the seriousness of large-scale disasters due to a NBC disaster (nuclear, biologic and chemical disaster) is being highlighted as well. So, we obtain the information of the RFID tag attached to a glass bottle with containing the toxic chemical to transfer the data to the smart device has been studied a system that can monitor the status of the toxic chemical in real time. The proposed system is the information was sent to the main system using a zigbee communication by recognizing the tag vial containing the toxic chemical with the 13.56MHz bandwidths good permeability. User may check the information in real time by utilizing the smart device. However, the error of the system for managing the toxic chemical generates a result that can not be predicted. Failure of the system was detecting the error by using a comparator as this can cause an error. And the detected error proposed a duplex system so that they do not affect the overall system.

최근 독극물로 인한 사고가 빈번하게 발생하여 사회적인 문제가 발생하고 있어 독극물관리를 철저히 해야 할 필요성이 대두되고 있다. 2010년 기준으로 국내에는 약 10만 여종의 독극물이 유통되어 사고 시 중증 중독환자 혹은 대량으로 환자를 발생시킬 수 있고 국제적으로도 NBC에 의한 대량 재해의 심각성이 대두되고 있다. 그래서 생산지에서 부터 관리 할 수 있도록 독극물이 들어 있는 유리병에 13.56MHz 대역의 RFID 시스템을 사용하였고, 인식된 태그 데이터는 IEEE 802.15.4 기반의 통신으로 메인 시스템에 데이터를 전송한다. 전송 된 데이터는 스마트 디바이스를 통하여 독극물의 상태를 실시간으로 모니터링 할 수 있는 시스템을 구현하였다. 그러나 독극물을 관리하는 시스템의 고장은 예측 할 수 없는 결과를 발생시킨다. 그래서 고장의 원인이 되는 오류를 하드웨어 여분을 이용한 방법으로 검출하였고 검출된 오류가 전체 시스템에 영향을 주지 않도록 이중화 시스템을 제시하였다.

Keywords

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