MetaFactory: A cloud-based framework to configure and generate dynamic data structures from the STEP-NC knowledge graph.
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| Title: | MetaFactory: A cloud-based framework to configure and generate dynamic data structures from the STEP-NC knowledge graph. |
|---|---|
| Authors: | Xiao, Wenlei1,2 (AUTHOR) xiaowenlei@buaa.edu.cn, Qiu, Tianze1,3 (AUTHOR), Guo, Jiurong4 (AUTHOR), Zhao, Gang1 (AUTHOR) |
| Source: | Journal of Manufacturing Systems. Jun2025, Vol. 80, p89-107. 19p. |
| Subjects: | Object-oriented databases, Philosophy of language, Knowledge graphs, Database design, Digital technology |
| Abstract: | In our previous studies, twin-oriented manufacturing has been identified as a crucial solution to address the manufacturing crisis. Within this context, the notion of "digital twin as a service" necessitates that various twin services share and communicate with each other in a standardized manner. STEP-NC offers a potentially unified model to facilitate data exchange, providing object-oriented and standardized data models for a comprehensive representation of manufacturing resources in the digital realm. However, the complexity of STEP-NC renders it too cumbersome for implementation in diverse cloud-based services or PC-based software. This complexity is a fundamental reason why STEP-NC has struggled to find application in commercial CNC systems despite years of research. To overcome this technical challenge, this paper introduces a novel concept termed "dynamic STEP-NC data structure", inspired by the dynamic language philosophy of dynamic programming language (such as Python). This approach allows different services and software packages to maintain their own data definitions while still aligning with the original STEP-NC definition. We have developed a framework called MetaFactory that supports the configuration of streamlined data structures and generates the corresponding program code required by various service developers. On this basis, we implemented automatic modeling for a STEP-NC object-oriented database. Using the data trimming and dimensionality reduction methods provided by MetaFactory, several prototype systems for different application scenarios have been developed. • MetaFactory platform provides an intuitive knowledge graph for STEP-NC. • Object-oriented database with MQL designed to align with STEP-NC standards. • Novel software development pattern reduces manual work, ensures data consistency. • Simplifies STEP-NC application for intelligent manufacturing and industrial software. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Manufacturing Systems is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 185361278 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: MetaFactory: A cloud-based framework to configure and generate dynamic data structures from the STEP-NC knowledge graph. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Xiao%2C+Wenlei%22">Xiao, Wenlei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> xiaowenlei@buaa.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Qiu%2C+Tianze%22">Qiu, Tianze</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Jiurong%22">Guo, Jiurong</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Gang%22">Zhao, Gang</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Manufacturing+Systems%22">Journal of Manufacturing Systems</searchLink>. Jun2025, Vol. 80, p89-107. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Object-oriented+databases%22">Object-oriented databases</searchLink><br /><searchLink fieldCode="DE" term="%22Philosophy+of+language%22">Philosophy of language</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+graphs%22">Knowledge graphs</searchLink><br /><searchLink fieldCode="DE" term="%22Database+design%22">Database design</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In our previous studies, twin-oriented manufacturing has been identified as a crucial solution to address the manufacturing crisis. Within this context, the notion of "digital twin as a service" necessitates that various twin services share and communicate with each other in a standardized manner. STEP-NC offers a potentially unified model to facilitate data exchange, providing object-oriented and standardized data models for a comprehensive representation of manufacturing resources in the digital realm. However, the complexity of STEP-NC renders it too cumbersome for implementation in diverse cloud-based services or PC-based software. This complexity is a fundamental reason why STEP-NC has struggled to find application in commercial CNC systems despite years of research. To overcome this technical challenge, this paper introduces a novel concept termed "dynamic STEP-NC data structure", inspired by the dynamic language philosophy of dynamic programming language (such as Python). This approach allows different services and software packages to maintain their own data definitions while still aligning with the original STEP-NC definition. We have developed a framework called MetaFactory that supports the configuration of streamlined data structures and generates the corresponding program code required by various service developers. On this basis, we implemented automatic modeling for a STEP-NC object-oriented database. Using the data trimming and dimensionality reduction methods provided by MetaFactory, several prototype systems for different application scenarios have been developed. • MetaFactory platform provides an intuitive knowledge graph for STEP-NC. • Object-oriented database with MQL designed to align with STEP-NC standards. • Novel software development pattern reduces manual work, ensures data consistency. • Simplifies STEP-NC application for intelligent manufacturing and industrial software. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Manufacturing Systems is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jmsy.2025.02.012 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 89 Subjects: – SubjectFull: Object-oriented databases Type: general – SubjectFull: Philosophy of language Type: general – SubjectFull: Knowledge graphs Type: general – SubjectFull: Database design Type: general – SubjectFull: Digital technology Type: general Titles: – TitleFull: MetaFactory: A cloud-based framework to configure and generate dynamic data structures from the STEP-NC knowledge graph. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xiao, Wenlei – PersonEntity: Name: NameFull: Qiu, Tianze – PersonEntity: Name: NameFull: Guo, Jiurong – PersonEntity: Name: NameFull: Zhao, Gang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02786125 Numbering: – Type: volume Value: 80 Titles: – TitleFull: Journal of Manufacturing Systems Type: main |
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