Industrial Dataspace: A Broker to Run Cyber-Physical-Social Production System in Level of Machining Workshops

Jiang, Pingyu; Liu, Chao; Li, Pulin; Shi, Haoliang

doi:10.1109/coase.2019.8843010

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…The uniform schema is employed to describe the relations of machining-related resource entities (Jiang et al 2019). Existing standards and modeling languages, such as ISA-88/95, OWL 2, AutomationML, and UML, could help to define the concepts of meta-data model such as vocabularies, terms, elements, components (Vogt et al 2019).…”

Section: Process-workpiece-centric Relation Schema Description In Idmwmentioning

confidence: 99%

Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies

Cheng

Jiang

et al. 2020

J Intell Manuf

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The machining processes on the advanced machining workshop floor are becoming more sophisticated with the interdependent intrinsic processes, generation of ever-increasing in-process data and machining domain knowledge. To manage and utilize those above effectively, an industrial dataspace for machining workshop (IDMW) is presented with a three-layer framework. The IDMW architecture is Schema Centralized-Data Distributed, which relies on Process-Workpiece-Centric knowledge schema description and data storage in decentralized data silos. Subsequently, the pre-processing method for the data silos driven by RFID event graphical deduction model is elaborated to associate decentralized data with knowledge schema. Furthermore, through two industrial case studies, it is found that IDMW is effective in managing heterogeneous data, interconnecting the resource entities, handling domain knowledge, and thereby enabling machining operations control on the machining workshop floor particularly.

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Section: Process-workpiece-centric Relation Schema Description In Idmwmentioning

confidence: 99%

Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies

Cheng

Jiang

et al. 2020

J Intell Manuf

Self Cite

View full text Add to dashboard Cite

show abstract

Intelligent Manufacturing Core Enterprise-dominated Collaborative Dataspace Framework for New Energy Vehicle

Yan

Xiao

Zhou

et al. 2022

2022 International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI)

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A Sustainable Solution for IoT Semantic Interoperability: Dataspaces Model via Distributed Approaches

Lu¹,

Yang²,

Guo³

et al. 2022

IEEE Internet Things J.

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Industrial Dataspace: A Broker to Run Cyber-Physical-Social Production System in Level of Machining Workshops

Cited by 3 publications

References 11 publications

Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies

Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies

Intelligent Manufacturing Core Enterprise-dominated Collaborative Dataspace Framework for New Energy Vehicle

A Sustainable Solution for IoT Semantic Interoperability: Dataspaces Model via Distributed Approaches

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