AI-assisted Distributed Applications at Edge for Industrial Field Autonomous Systems
Complex industrial systems are increasingly software-defined, rapidly evolving into autonomous, self-adaptive processing at industrial fields. They are constituting worlds of things, wherein the internet of things is heavily developing with local semantic features. Also, artificial intelligence tech...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IFSA Publishing, S.L.
2021-02-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | https://sensorsportal.com/HTML/DIGEST/february_2021/Vol_249/P_3207.pdf |
| _version_ | 1797752207726084096 |
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| author | Yannick FOURASTIER Claude BARON Hakima CHAOUCHI Carsten THOMAS |
| author_facet | Yannick FOURASTIER Claude BARON Hakima CHAOUCHI Carsten THOMAS |
| author_sort | Yannick FOURASTIER |
| collection | DOAJ |
| description | Complex industrial systems are increasingly software-defined, rapidly evolving into autonomous, self-adaptive processing at industrial fields. They are constituting worlds of things, wherein the internet of things is heavily developing with local semantic features. Also, artificial intelligence technologies are spreading fast in the industrial context, improving the operations efficiency. However, Edge computing systems involving artificial intelligence must also continuously ensure reliable and safe operations. This paper assesses the state of the art of cognitive technologies with their relevance for artificial intelligence implementation in industrial cyber-physical systems. It then introduces a state of research on artificial intelligence safety assurance practices. Implementation through three use cases at the software stack is illustrated with a virtual operating system that operates the data space in the industrial layout. More precisely, the industrial development is illustrated with a real case of swarm computing for advanced robotics powered with SlapOS. Although still at an early stage, it shows experimentally how Edge operating systems are evolving fast as a kind of AI intensive software. |
| first_indexed | 2024-03-12T16:59:54Z |
| format | Article |
| id | doaj.art-84bddd74ba2c4342a1e2e26a1b52c236 |
| institution | Directory Open Access Journal |
| issn | 2306-8515 1726-5479 |
| language | English |
| last_indexed | 2024-03-12T16:59:54Z |
| publishDate | 2021-02-01 |
| publisher | IFSA Publishing, S.L. |
| record_format | Article |
| series | Sensors & Transducers |
| spelling | doaj.art-84bddd74ba2c4342a1e2e26a1b52c2362023-08-07T15:33:12ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792021-02-0124925464AI-assisted Distributed Applications at Edge for Industrial Field Autonomous SystemsYannick FOURASTIER0Claude BARON1Hakima CHAOUCHI2Carsten THOMAS3CodEUrope SASUniversité Toulouse, INSA, LAAS-CNRS, ISAE-SupaéroInstitut Polytechnique de Paris, Telecom SudParisHTW BerlinComplex industrial systems are increasingly software-defined, rapidly evolving into autonomous, self-adaptive processing at industrial fields. They are constituting worlds of things, wherein the internet of things is heavily developing with local semantic features. Also, artificial intelligence technologies are spreading fast in the industrial context, improving the operations efficiency. However, Edge computing systems involving artificial intelligence must also continuously ensure reliable and safe operations. This paper assesses the state of the art of cognitive technologies with their relevance for artificial intelligence implementation in industrial cyber-physical systems. It then introduces a state of research on artificial intelligence safety assurance practices. Implementation through three use cases at the software stack is illustrated with a virtual operating system that operates the data space in the industrial layout. More precisely, the industrial development is illustrated with a real case of swarm computing for advanced robotics powered with SlapOS. Although still at an early stage, it shows experimentally how Edge operating systems are evolving fast as a kind of AI intensive software.https://sensorsportal.com/HTML/DIGEST/february_2021/Vol_249/P_3207.pdfartificial intelligencecyber-physical systemindustrial edgeswarm processingvirtual operating systemdigital twinsafety of intended functionality |
| spellingShingle | Yannick FOURASTIER Claude BARON Hakima CHAOUCHI Carsten THOMAS AI-assisted Distributed Applications at Edge for Industrial Field Autonomous Systems Sensors & Transducers artificial intelligence cyber-physical system industrial edge swarm processing virtual operating system digital twin safety of intended functionality |
| title | AI-assisted Distributed Applications at Edge for Industrial Field Autonomous Systems |
| title_full | AI-assisted Distributed Applications at Edge for Industrial Field Autonomous Systems |
| title_fullStr | AI-assisted Distributed Applications at Edge for Industrial Field Autonomous Systems |
| title_full_unstemmed | AI-assisted Distributed Applications at Edge for Industrial Field Autonomous Systems |
| title_short | AI-assisted Distributed Applications at Edge for Industrial Field Autonomous Systems |
| title_sort | ai assisted distributed applications at edge for industrial field autonomous systems |
| topic | artificial intelligence cyber-physical system industrial edge swarm processing virtual operating system digital twin safety of intended functionality |
| url | https://sensorsportal.com/HTML/DIGEST/february_2021/Vol_249/P_3207.pdf |
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