DOI QR코드

DOI QR Code

Development of Distributed Smart Data Monitoring System for Heterogeneous Manufacturing Machines Operation

이종 공작기계 운용 관리를 위한 분산 스마트 데이터 모니터링 시스템 개발

  • Lee, Young-woon (Dept. of Computer Science and Engineering, Sunmoon University) ;
  • Choi, Young-ju (Dept. of IT Engineering, Sookmyung Women's University) ;
  • Lee, Jong-Hyeok (Big Data Utilization Center, Sookmyung Women's University) ;
  • Kim, Byung-Gyu (Dept. of IT Engineering, Sookmyung Women's University) ;
  • Lee, Seung-Woo (Dept. of Ultra-Precision Machines and Systems, Korea Institute of Machinery & Materials) ;
  • Park, Jong-Kweon (Dept. of Ultra-Precision Machines and Systems, Korea Institute of Machinery & Materials)
  • 이영운 (선문대학교 컴퓨터융합전자공학과) ;
  • 최영주 (숙명여자대학교 IT공학과) ;
  • 이종혁 (숙명여자대학교 빅데이터센터) ;
  • 김병규 (숙명여자대학교 IT공학과) ;
  • 이승우 (한국기계연구원 첨단생산장비연구본부 초정밀시스템연구실) ;
  • 박종권 (한국기계연구원 첨단생산장비연구본부 초정밀시스템연구실)
  • Received : 2017.09.06
  • Accepted : 2017.10.25
  • Published : 2017.10.31

Abstract

Recent trend in the manufacturing industry is focused on the convergence with IoT and Big Data, by emergence of the 4th Industrial Revolution. To realize a smart factory, the proposed system based on MTConnect technology collects and integrates various status information of machines from many production facilities including heterogeneous devices. Also it can distribute the acquisited status of heterogeneous manufacturing machines to the remote devices. As a key technology of a flexible automated production line, the proposed system can provide much possibility to manage important information such as error detection and processing state management in the unmanned automation line.

제4차 산업혁명은 IoT(Internet of Things) 빅데이터(BigData) 인공지능 등 다양한 기술들의 융합을 통하여 스마트 공장(Smart factory) 구현을 목표로 새로운 산업화를 시도하고 있다. 스마트 공장 실현을 위해서 다양한 이종기계들 간의 유연한 데이터 교환 방법이 가능한 통신 기술이 필요하고 표준 기술을 기반 생산 장비의 확장성이 고려될 수 있어야 한다. 본 연구에서는 이종기기를 포함하는 다수의 생산 설비로부터 데이터를 수집 및 통합하고, 모든 생산 장비를 감시할 수 있는 MTConnect기반 이종 공작기계 상태 정보 및 가공 정보 관리시스템을 제안한다. 개발된 시스템 기술은 유연 자동화 생산 라인의 핵심 기술로서 오류 검출, 가공 상태 관리 등 무인 자동화 라인의 중요한 정보를 제공 및 관리하는 기술을 제공할 수 있다.

Keywords

References

  1. J. A. Lee and Y. H. Kim, Industrie 4.0 and Manufacturing Creative Economy Strategy, National Information Society Agency(NIA), Report of IT & Future Strategy, 2014.
  2. Tomas Kellner, GE's Brilliant Advanced Manufacturing Plant In Pune, General Electric, India, GE Reports, 2015.
  3. J. H. Kwon, The changes and implications for labor market by Industry 4.0, IBK Economics Research Institute, 2016.
  4. Y. Ro, Strategy Trends in Principal Countries toward the 4th Industrial Revolution, Electronics and Telecommunications Trends, 2017.
  5. J. G. Lee, State assessment and implications for Manufacturing innovation policy, Hyundai Research Institute, VIP report, 2014.
  6. J. H. Kwon, Status and Implications of Smart Factory in Germany, IBK Economics Research Institute, 2016.
  7. Trend research of ICT based industry by Office for Korea Statistics [Internet]. Available: http://kostat.go.kr/portal/korea/kor_ki/1/1/index.action?bmode=read&cd=S006002
  8. J. S. Moon, S. H. Nam, S. H. Park, J. K. Lee, "Technical trends of Manufacturing Management System in the Machine Tools Line," in Proceeding of Korean Society of Precision Engineering, Daejeon, pp. 921-922, 2008.
  9. S. W. Yang, K. J. Kim, N. S. Nam, M. S. Jeong, J. H. Shin, J. P. Park, K. E. Kwon and S. W. Lee, "A MTConnect based Monitoring Framework for Flexible Machine Cell," in Proceeding of Korean Society Of Precision Engineering, Changwon, pp. 47-48, 2011.
  10. J. Y. Baek, S. H. Nam, B. H. Kim, H. J. Jeong, J. H. Shin, "MTConnect based Realtime Information Integration Framework for Flexible Manufacturing," in Proceeding of Korean Society Of Precision Engineering, Jeju, pp. 383-384, 2012.
  11. S. H. Nam, J. Y. Baek, J. S. Yoon, D. H. Lee, K. E. Kwon, S. W. Lee, "Realtime Manufacturing Data Management Framework for Dynamic Shop Operation in Heterogeneous Machine and Cell Shop Configuration," in Proceeding of Korean Society Of Precision Engineering, Jeju, pp. 1469-1470, 2013.
  12. Pei Leia, Lianyu Zhenga, Chao Li, and Xichun Li, "MTConnect enabled interoperable monitoring system for finish machining assembly interfaces of large-scale components," Procedia CIRP, Vol. 56, pp. 378-383, 2016. https://doi.org/10.1016/j.procir.2016.10.060
  13. OPC Task Force Team, "OPC Overview," Version1, OPC Foundation, Industry Standard Specification, 1998.
  14. Zheng, L., Nakagawa, H., "OPC (OLE for Process Control) Specification and its Developments," in Proceeding of the 41st SICE Annual Conference, 2002.
  15. A. Dugenske, "MTConnect .NET Software Development Kit," Factory Information Systems Center, USA, March 2011.
  16. William Sobel, MTConnect(R) Standard: Part1 - Overview and Protocol, MTConnect Institute, Version 1.2.0, 2012.
  17. John Turner, MTConnect(R) Standard: Part2 - Device Information Model, MTConnect Institute, Version 1.3.1, 2015.
  18. William Sobel, MTConnect(R) Standard: Part3 - Streams, Events, Samples, and Conditions, MTConnect Institute, Version 1.3.0, 2014.
  19. William Sobel, MTConnect(R) Standard: Part4 - Assets, MTConnect Institute, Version 1.3.0, 2014.
  20. Ha-Yoon Jung, Da-Mi Jeong, Jong-Hyeok Lee, Byung-Gyu Kim, "Development of Smart Mirror System for Hearing Deaf's Pronunciation Training," Journal of Digital Contents Society, Vol. 18, No. 2, pp. 267-274, Apr. 2017. https://doi.org/10.9728/dcs.2017.18.2.267
  21. Minseok Oh, "A Comprehensive Study on Fault Management Approaches in Communication Networks," Journal of KIIT, Vol. 10, No. 1, pp. 146-155, Jan. 2012.