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스마트 팩토리 환경을 고려한 RGB 컬러 가변형 광 ID 모듈개발 연구

A study on development of RGB color variable optical ID module considering smart factory environment

  • Lee, Min-Ho (Dept. of Information Communication & Media Engineering, Graduate School of Nano It Design Fusion, Seoul National University of Science & Technology) ;
  • Timur, Khudaybergenov (Dept. of Information Communication & Media Engineering, Graduate School of Nano It Design Fusion, Seoul National University of Science & Technology) ;
  • Lee, Beom-Hee (Dept. of Electronic and IT Media Engineering, Seoul National University of Science and Technology) ;
  • Cho, Ju-Phil (Dept. of Integrated IT & Communication Engineering, Kunsan National University) ;
  • Cha, Jae-Sang (Dept. of Electronic and IT Media Engineering, Seoul National University of Science and Technology)
  • 투고 : 2018.10.10
  • 심사 : 2018.10.23
  • 발행 : 2018.10.30

초록

스마트 팩토리는 제 4차 산업혁명시대의 도래와 함께, 제조업과 정보통신기술의 결합을 통하여 사용자가 공장 내 설치된 장비의 시뮬레이션 및 시나리오 설계를 통해 자동으로 제품을 생산하는 시스템 개념으로 해외 주요국에서 이미 추진 정책 및 전략을 발표하고, 관련 기술개발에 주력하고 있다. 또한, 이러한 스마트 팩토리 구현을 위한 기반기술로서 저전력 친환경 LED 조명시스템에 대한 관심이 증대되고 있으며, LED를 활용한 통신, 위치인식 등 이른바 광 ID 관련 응용기술에 대한 연구가 활발히 진행중이다. 본 논문에서는 친환경 저전력의 LED 조명 기반의 광통신 기술을 생산설비 관리에 접목하여, 공장 내 고전압, 고전류, 발전기 등 전자기 간섭의 영향을 받지 않고, 물류 위치 및 부가정보를 안정적으로 식별할 수 있는 시스템을 제안하였으며, 기초 실험을 통해 근거리에서 8가지 컬러가변에 따른 컬러 ID 검출율이 98.8%~93.8% 수준으로 적용 가능성을 검증하였다.

Smart Factory is a concept of automatic production system of machines by the fusion of ICT and manufacturing. As a base technology for realizing such a smart factory, there is an increasing interest in a low-power environmentally friendly LED lighting system, and researches on so-called optical ID related application technologies such as communication using a LED and position recognition are actively underway. In this paper, We have proposed a system that can reliably identify logistics location and additional information without being affected by electromagnetic interference such as high voltage, high current, and generator in the plant. Through the basic experiment, we confirmed the applicability of the color ID recognition rate from 98.8% to 93.8% according to the eight color variations in the short distance.

키워드

참고문헌

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