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Image and NFC based Real Time Reagent Measurement and Registration System

영상 및 NFC 기반 실시간 시약 계량 등록 시스템

  • Lee, Keunwoo (Department of Computer Engineering, Paichai University) ;
  • cheong, Sangho (Department of Computer Engineering, Paichai University) ;
  • Jung, Hoekyung (Department of Computer Engineering, Paichai University)
  • Received : 2019.03.13
  • Accepted : 2019.04.08
  • Published : 2019.06.30

Abstract

When IoT is applied to various research experiment fields such as physics, pharmacy, biology and medicine, it can increase the safety and convenience of researchers by intelligently monitoring and controlling research equipment and environment with various sensors and devices. For accurate and convenient record management and the research history and the basis but also for the reverse tracking, real-time reagent measurement and registration should be provided as a research support automation services. Currently, existing methods of reagent management are operated by computerized method, but reagent registration and management are not automated. And also record is managed manually, there are many hassles and problems such as a record error and too much time required for quantification and registration for many reagents. In this paper, we study a real time reagent measuring and registration method based on IoT to resolve the problems aforementioned, by the information of the reagent acquired by image recognition and NFC method.

사물인터넷을 이화학, 약학, 생물학 및 의학 등 다양한 연구실험분야에 적용한 경우 다양한 센서와 기기를 부착하여 지능적으로 연구장비 및 환경을 모니터링하고 제어함으로써 연구실험자의 안전성과 편의성을 증대시킬 수 있다. 시약의 정확하고 편리한 기록관리 및 실험과정의 연구이력과 근거, 역추적성 등을 위해서는 실시간 시약 계량 및 등록의 연구지원 자동화 서비스를 제공해야 한다. 현재 기존 시약관리방법은 전산 관리방법을 이용하지만 시약등록과 관리가 일체화된 자동화가 많이 이루어져 있지 않다. 또한 수기에 의한 기록 관리가 대부분으로 실험에 대한 기록오류 및 많은 시약에 대한 계량 및 등록에 대한 소요시간이 큰 점 등 번거로움과 문제점들이 많다. 이에 본 논문에서는 영상인식 및 NFC(Near Field Communication) 방식에 의한 시약 등록과 동시에 전자저울로 계량 측정된 시약정보를 자동으로 관리할 수 있는 IoT 기반 실시간 시약 계량 및 등록 방법을 연구하였다.

Keywords

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Fig. 1 System Architecture

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Fig. 2 System Flow

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Fig. 3 System Control Process Algorithm

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Fig. 4 Image Recognition Process Algorithm

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Fig. 5 Reagent Weighting Measurement Process

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Fig. 6 System Block Diagram

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Fig. 7 MCU Control Module

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Fig. 8 RPI Control Module

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Fig. 9 Reagent Information Query Data Record

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Fig. 10 User Interface Application Result

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Fig. 11 Reagent Registration and Measurement Result

Table 1. Database Structure

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