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http://dx.doi.org/10.3745/KTCCS.2019.8.2.41

A Novel Reference Model for Cloud Manufacturing CPS Platform Based on oneM2M Standard  

Yun, Seongjin (한국기술교육대학교 컴퓨터공학과)
Kim, Hanjin (한국기술교육대학교 컴퓨터공학과)
Shin, Hyeonyeop (한국기술교육대학교 컴퓨터공학과)
Chin, Hoe Seung (소프트웨어 정책연구소)
Kim, Won-Tae (한국기술교육대학교 컴퓨터공학부)
Publication Information
KIPS Transactions on Computer and Communication Systems / v.8, no.2, 2019 , pp. 41-56 More about this Journal
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.
Keywords
Large-Scale CPS; Smart Factory; Cloud Manufacturing; CPS Platform; Internet of Things;
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