Leveraging GraphQL for Large-Scale Queries on Digital Twins in Industry 4.0

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-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 languageEnglish
Title of host publicationICIT 2024 - 2024 25th International Conference on Industrial Technology
PublisherIEEE
Pages1-6
Number of pages6
ISBN (print)979-8-3503-4027-3
Publication statusPublished - 27 Mar 2024
Peer-reviewedYes

Conference

Title2024 25th IEEE International Conference on Industrial Technology
Abbreviated titleICIT 2024
Conference number25
Duration25 - 27 March 2024
Website
Degree of recognitionInternational event
LocationDoubleTree by Hilton Bristol City Centre
CityBristol
CountryUnited Kingdom

External IDs

Scopus 85195797106
Mendeley 69224cfb-23e5-3d05-9df1-6028c8b0cec7
ORCID /0009-0000-2432-5529/work/163295076

Keywords

Keywords

  • Industries, Digital representation, Prototypes, Information retrieval, Fourth Industrial Revolution, Digital twins, Time factors, Asset Administration Shell, GraphQL, IIoT, Industry 4.0, Query Interface