Leveraging GraphQL for Large-Scale Queries on Digital Twins in Industry 4.0
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Future Industry 4.0 systems will make use of independent and cooperative assets. In order to use the services of the assets, a digital representation must be available. The Industry 4.0 Asset Administration Shell fulfils this task. It contains all the properties and capabilities of the asset. Currently, retrieving related information over HTTP/REST is complicated because there is no query interface. We propose the development of a universal query interface based on the existing API definition for the Asset Administration Shell. Different approaches are discussed and a conceptual approach using GraphQL is presented.
Details
Original language | English |
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Title of host publication | ICIT 2024 - 2024 25th International Conference on Industrial Technology |
Publisher | IEEE |
Pages | 1-6 |
Number of pages | 6 |
ISBN (print) | 979-8-3503-4027-3 |
Publication status | Published - 27 Mar 2024 |
Peer-reviewed | Yes |
Conference
Title | 2024 25th IEEE International Conference on Industrial Technology |
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Abbreviated title | ICIT 2024 |
Conference number | 25 |
Duration | 25 - 27 March 2024 |
Website | |
Degree of recognition | International event |
Location | DoubleTree by Hilton Bristol City Centre |
City | Bristol |
Country | United Kingdom |
External IDs
Scopus | 85195797106 |
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Mendeley | 69224cfb-23e5-3d05-9df1-6028c8b0cec7 |
ORCID | /0009-0000-2432-5529/work/163295076 |
Keywords
ASJC Scopus subject areas
Keywords
- Industries, Digital representation, Prototypes, Information retrieval, Fourth Industrial Revolution, Digital twins, Time factors, Asset Administration Shell, GraphQL, IIoT, Industry 4.0, Query Interface