A Novel Reference Model for Cloud Manufacturing CPS PlatformBased on oneM2M Standard
1
조회
0
다운로드
3
인용
0
참고문헌
키워드
초록
Cloud manufacturing is a new concept of manufacturing process that works like a single factory with connected multiple factories. The cloud manufacturing system is a kind of large-scale CPS that produces products through the collaboration of distributed manufacturing facilities based on technologies such as cloud computing, IoT, and virtualization. It utilizes diverse and distributed facilities based on centralized information systems, which allows flexible composition user-centric and service-oriented large-scale systems. However, the cloud manufacturing system is composed of a large number of highly heterogeneous subsystems. It has difficulties in interconnection, data exchange, information processing, and system verification for system construction. In this paper, we derive the user requirements of various aspects of the cloud manufacturing system, such as functional, human, trustworthiness, timing, data and composition, based on the CPS Framework, which is the analysis methodology for CPS. Next, by analyzing the user requirements we define the system requirements including scalability, composability, interactivity, dependability, timing, interoperability and intelligence. We map the defined CPS system requirements to the requirements of oneM2M, which is the platform standard for IoT, so that the support of the system requirements at the level of the IoT platform is verified through Mobius, which is the implementation of oneM2M standard. Analyzing the verification result, finally, we propose a large-scale cloud manufacturing platform based on oneM2M that can meet the cloud manufacturing requirements to support the overall features of the Cloud Manufacturing CPS with dependability.
Abstract
Cloud manufacturing is a new concept of manufacturing process that works like a single factory with connected multiple factories. The cloud manufacturing system is a kind of large-scale CPS that produces products through the collaboration of distributed manufacturing facilities based on technologies such as cloud computing, IoT, and virtualization. It utilizes diverse and distributed facilities based on centralized information systems, which allows flexible composition user-centric and service-oriented large-scale systems. However, the cloud manufacturing system is composed of a large number of highly heterogeneous subsystems. It has difficulties in interconnection, data exchange, information processing, and system verification for system construction. In this paper, we derive the user requirements of various aspects of the cloud manufacturing system, such as functional, human, trustworthiness, timing, data and composition, based on the CPS Framework, which is the analysis methodology for CPS. Next, by analyzing the user requirements we define the system requirements including scalability, composability, interactivity, dependability, timing, interoperability and intelligence. We map the defined CPS system requirements to the requirements of oneM2M, which is the platform standard for IoT, so that the support of the system requirements at the level of the IoT platform is verified through Mobius, which is the implementation of oneM2M standard. Analyzing the verification result, finally, we propose a large-scale cloud manufacturing platform based on oneM2M that can meet the cloud manufacturing requirements to support the overall features of the Cloud Manufacturing CPS with dependability.
참고문헌 (48)
- Edward A. Lee, "Cyber-physical systems-are computing foundations adequate", Position Paper for NSF Workshop On Cyber-Physical Systems: Research Motivation, Techniques and Roadmap, 2, pp.1~9 (2006)
- Radhakisan Baheti, "Cyber-physical systems", The Impact of Control Technology, 12, pp.161~166 (2011)
- Edward Ashford Lee, "Introduction to embedded systems: A cyber-physical systems approach" (2016), MIT Press
- Jay Lee, "A cyber-physical systems architecture for industry 4. 0-based manufacturing systems", Manufacturing Letters, 3, pp.18~23 (2015)
- Lin Zhang, "Cloud manufacturing : a new manufacturing paradigm", Enterprise Information Systems, 8(2), pp.167~187 (2014)
- Lei Ren, "Cloud manufacturing : key characteristics and applications", International Journal of Computer Integrated Manufacturing, 30(6), pp.501~515 (2017)
- F. Tao, "Advanced manufacturing systems : socialization characteristics and trends", Journal of Intelligent Manufacturing, 28(5), pp.1079~1094 (2017)
- Chunyang Yu, "Computer-integrated manufacturing, cyber-physical systems and cloud manufacturing –concepts and relationships", Manufacturing letters, 6, pp.5~9 (2015)
- Fei Tao, "CCIoT-CMfg : cloud computing and internet of things-based cloud manufacturing service system", IEEE Transactions on Industrial Informatics, 10(2), pp.1435~1442 (2014)
- Fei Tao, "Digital twin-driven product design, manufacturing and service with big data", The International Journal of Advanced Manufacturing Technology, 94(9-12), pp.3563~3576 (2018)
- C. Renzi, "A review on artificial intelligence applications to the optimal design of dedicated and reconfigurable manufacturing systems", The International Journal of Advanced Manufacturing Technology, 72(1-4), pp.403~418 (2014)
- Jim Davis, "Smart manufacturing, manufacturing intelligence and demand-dynamic performance", Computers & Chemical Engineering, 47, pp.145~156 (2012)
- Ivan Stojmenovic, "Machine-to-machine communications with in-network data aggregation, processing, and actuation for large-scale cyber-physical systems", IEEE Internet of Things Journal, 1(2), pp.122~128 (2014)
- García, J. A., "Open CPS platforms", Proceedings of the CPS 20 Years from Now--2nd Experts Workshop Cyphers, pp.22~26 (2014)
- Karsten Schweichhart, "Reference Architectural Model Industrie 4.0 (RAMI 4.0) an introduction", Publikationen der Plattform Industrie, 4 (2016)
- The Cyber-Physical Systems Public Working Group(CPS PWG), "Framework for Cyber-Physical System Release 1.0", NIST, ~ (2016)
- Jaeseok Yun, "A Device Software Platform for Consumer Electronics Based on the Internet of Things", IEEE Trans. Consumer Electron, 61(4), pp.564~571 (2015)
- OPC UA–service-oriented architecture for industrial applications, "Stefan-Helmut Leitner", ABB Corporate Research Center, 1~6 (2006)
- Jorg Swetina, "Toward a standardized common M2M service layer platform : Introduction to oneM2M", IEEE Wireless Communications, 21(3), pp.20~26 (2014)
- Open Connectivity Foundation(OCF), "OCF 1.3 Core Specification", OCF, ~ (2018)
- Biqing Huang, "Cloud manufacturing service platform for small-and medium-sized enterprises", The International Journal of Advanced Manufacturing Technology, 65(9-12), pp.1261~1272 (2013)
- Fei Tao, "IoT-based intelligent perception and access of manufacturing resource toward cloud manufacturing", IEEE Transactions on Industrial Informatics, 10(2), pp.1547~1557 (2014)
- Jihong Liu, "An ontology-based architecture for service-orientated design knowledge fusion in Group Corporation Cloud Manufacturing", Computer Supported Cooperative Work in Design(CSCWD), 2012 IEEE 16th International Conference on, pp.811~816 (2012)
- TTA, "An ICT Integrated Smart Factory Reference Model", TTA standard, ~ (2015)
- Agnieszka Radziwon, "The smart factory : exploring adaptive and flexible manufacturing solutions", Procedia Engineering, 69, pp.1184~1190 (2014)
- 강형석, "Smart Manufacturing: Past Research, Present Findings, and Future Directions", International Journal of Precision Engineering and Manufacturing-Green Technology, 3(1), pp.111~128 (2016), 한국정밀공학회
- Christopher Prinz, "Learning Factory modules for smart factories in Industrie 4. 0.", Procedia CIRP, 54, pp.113~118 (2016)
- Amy J. C. Trappey, "A review of technology standards and patent portfolios for enabling cyber-physical systems in advanced manufacturing", IEEE Access, 4, pp.7356~7382 (2016)
- Kazi Masudul Alam, "C2ps : A digital twin architecture reference model for the cloud-based cyber-physical systems", IEEE Access, 5, pp.2050~2062 (2017)
- Edward A. Lee, "Cyber physical systems: Design challenges", Object oriented real-time distributed computing (isorc), 2008 11th ieee international symposium on, pp.363~369 (2008)
- Stephan Weyer, "Future Modeling and Simulation of CPS-based Factories : an Example from the Automotive Industry", IFAC-PapersOnLine, 49(31), pp.97~102 (2016)
- Ragunathan Rajkumar, "Cyber-physical systems : the next computing revolution", Proceedings of the 47th design automation conference, pp.731~736 (2010)
- oneM2M, "Draft Release 4 Technical Specifications TS-0002Requirements", ~ (2018)
- Nick McKeown, "Software-defined networking", INFOCOM Keynote Talk, 17(2), pp.30~32 (2009)
- R. L. S. de Oilveira, "Using Mininet for emulation and prototyping Software-Defined Networks", Proceedings of the IEEE Colombian Conference on Communications and Computing (COLCOM), pp.1~6 (2014)
- Nayak, Naresh Ganesh, "Time-sensitive software-defined network (TSSDN) for real-time applications", Proceedings of the 24th International Conference on Real-Time Networks and Systems, pp.193~202 (2016)
- Kentis, Angelos Mimidis, "Effects of Port Congestion in the Gate Control List Scheduling of Time Sensitive Networks", International Conference on the Network of the Future, pp.138~140 (2017)
- Jan Medved, "Opendaylight: Towards a model-driven sdn controller architecture", World of Wireless, Mobile and Multimedia Networks(WoWMoM), 2014 IEEE 15th International Symposium on a (2014)
- Y. E. Okian, "Distributed SDN controller system : a survey on design choice", Computer Networks, 121, pp.100~111 (2017)
- Eidson, John, "IEEE 1588 standard for a precision clock synchronization protocol for networked measurement and control systems", Sensors for Industry Conference, 2nd ISA, 2002, ~
- Virginie Galtier, "FMI-based distributed multi-simulation with DACCOSIM" (2015), Proceedings of the Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium. Society for Computer Simulation International
- "Microsoft Azure"[URL]
- Roland Rosen, "About the importance of autonomy and digital twins for the future of manufacturing", IFACPapersOnLine, 48(3), pp.567~572 (2015)
- Henry D. Morris, "A software platform for operational technology innovation", pp.1~17 (2014), International Data Corporation
- Pentenrieder, Katharina, "Augmented Reality-based factory planning-an application tailored to industrial needs", Mixed and Augmented Reality, 2007. ISMAR 2007. 6th IEEE and ACM International Symposium on, pp.1~9 (2007)
- Pardo-Castellote, Gerardo, "Omg data-distribution service:Architectural overview", Distributed Computing Systems Workshops, Proceedings. 23rd International Conference on. IEEE (2003)
- Jia, Feng, "Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data", Mechanical Systems and Signal Processing, 72, pp.303~315 (2016)
- Antonio Barbalace, "Performance comparison of VxWorks, Linux, RTAI, and Xenomai in a hard real-time application", IEEE Transactions on Nuclear Science, 55(1), pp.435~439 (2008)