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Big Data Refining System for Environmental Sensor of Continuous Manufacturing Process using IIoT Middleware Platform

IIoT 미들웨어 플랫폼을 활용한 연속 제조공정의 환경센서 빅데이터 정제시스템

  • 윤여진 (한국산업기술대학교 컴퓨터공학과) ;
  • 김태형 (한국산업기술대학교 컴퓨터공학과) ;
  • 이준희 (한국산업기술대학교 컴퓨터공학과) ;
  • 김영곤 (한국산업기술대학교 컴퓨터공학과)
  • Received : 2018.05.10
  • Accepted : 2018.08.10
  • Published : 2018.08.31

Abstract

IIoT(Industrial Internet of Thing) means that all manufacturing processes are informed beyond the conventional automation of process automation. The objective of the system is to build an information system based on the data collected from the sensors installed in each process and to maintain optimal productivity by managing and automating each process in real time. Data collected from sensors in each process is unstructured and many studies have been conducted to collect and process such unstructured data effectively. In this paper, we propose a system using Node-RED as middleware for effective big data collection and processing.

산업용 사물인터넷(IIoT:Industrial Internet of Thing)은 기존의 공정의 자동화란 범주를 넘어 모든 제조공정을 정보화 하는 것을 의미한다. 또한 각 공정에 설치된 센서로 부터 수집되는 데이터를 토대로 정보화 시스템을 구축하여 각 공정을 실시간으로 관리하고 자동화하여 최적의 생산성을 유지하는데 그 목적을 두고 있다. 각 공정의 센서로 부터 수집되는 데이터는 비정형성을 띄고 있으며 이러한 비정형데이터를 효과적으로 수집하고 처리하기 위해 많은 연구가 이루어지고 있다. 본 논문에서는 효과적인 빅데이터 수집 및 처리를 위하여 미들웨어로 Node-RED를 사용한 시스템을 제안하였다.

Keywords

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