Cloud-Edge Collaboration-Based Knowledge Sharing Mechanism for Manufacturing Resources

The development of multi-variety, mixed-flow manufacturing environments is hampered by a low degree of automation in information and empirical parameters’ reuse among similar processing technologies. This paper proposes a mechanism for knowledge sharing between manufacturing resources that is based on cloud-edge collaboration. The manufacturing process knowledge is coded using an ontological model, based on which the manufacturing task is refined and decomposed to the lowest-granularity concepts, i.e., knowledge primitives. On this basis, the learning process between devices is realized by effectively screening, matching, and combining the existing knowledge primitives contained in the knowledge base deployed on the cloud and the edge. The proposed method’s effectiveness was verified through a comparative experiment contrasting manual configuration and knowledge sharing configuration on a multi-variety, small-batch manufacturing experiment platform.

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Research on the Key Technology of Manufacturing Services Modeling under Cloud Manufacturing Environments

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.624.687 ◽

2014 ◽

Vol 624 ◽

pp. 687-693

Author(s):

Pei Zhi Liu ◽

Jun Ji ◽

Wei Yan Chai ◽

Xiao Chuan Zhao

Keyword(s):

Cloud Manufacturing ◽

Service Model ◽

Function Model ◽

Key Technology ◽

Manufacturing Capability ◽

Manufacturing Resources ◽

Manufacturing Platform ◽

And Function ◽

Manufacturing Environments

To realize sharing and synergy between manufacturing resources and manufacturing capability in cloud manufacturing, the manufacturing service model is divided into function model and non-function model. Elements and description of function model is given, and function model determines manufacturing services’ combination planning. Also the composition of non-function model and each part’s weight is presented, and non-function model is the basis to evaluate the priority of manufacturing services. For the case of resource in cloud manufacturing services, sharing ontology and private ontology are researched. Sharing ontology is common description of the whole manufacturing domain, and private ontology is individual description of a specific manufacturing platform. The transformation between sharing ontology and private ontology provides a way for isomerism resources to invoke each other.

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Knowledge Sharing: Wissen für den Pflegealltag

PADUA ◽

10.1024/1861-6186/a000326 ◽

2016 ◽

Vol 11 (4) ◽

pp. 265-267

Author(s):

Sabine Bohnet-Joschko

Keyword(s):

Knowledge Sharing

Zusammenfassung. Gesundheits- und Pflegeberufe gehören zu den wissensintensiven Dienstleistungsberufen, in denen einmal Erlerntes schnell an Aktualität verliert. So können klassische Fort- und Weiterbildungskonzepte die Dynamik der Wissensentwicklung in der Pflege kaum noch abbilden. Insbesondere für Führungskräfte gilt es, trotz zunehmender Arbeitsverdichtung eine Kultur des lebenslangen Lernens für Pflegende zu fördern. Das in den USA durchaus verbreitete, im deutschsprachigen Raum dagegen nahezu unbekannte Konzept «Lunch and Learn» soll hier vorgestellt werden.

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