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2020-08-12 - Article/Dans un journal avec peer-review - Anglais - 6 page(s)

Debauche Olivier , Mahmoudi Said , Mahmoudi Sidi , Manneback Pierre , Lebeau Frédéric, "Edge Computing and Artificial Intelligence Semantically Driven. Application to a Climatic Enclosure" in Procedia Computer Science, 175, 542-547

  • Edition : Elsevier, Amsterdam (Netherlands)
  • Codes CREF : Sciences agronomiques (DI3600), Informatique générale (DI1162)
  • Unités de recherche UMONS : Informatique (F114)
  • Instituts UMONS : Institut de Recherche en Technologies de l’Information et Sciences de l’Informatique (InforTech), Institut NUMEDIART pour les Technologies des Arts Numériques (Numédiart)
Texte intégral :

Abstract(s) :

(Anglais) Climatic chamber are enclosures where the ambient conditions, i.e. the temperature and humidity, are finely controlled. This one can play multiple roles such as the cultivation of plants (phytotron), the breeding of insects or habitat for exotic animals. The availability on the market of a wide variety of equipment makes it difficult to share settings and operating recipes. In this paper, we propose a versatile and automated modular climatic enclosure system that can be adapted according to the use cases and available material. In this paper, we use IoT device virtual representation, data validation by means AI algorithm, the semantic description of material, and ontology locally deployed from the cloud allowing to automate the local installation with container technology.

Identifiants :
  • DOI : 10.1016/j.procs.2020.07.077

Mots-clés :
  • (Anglais) growth chamber
  • (Anglais) climatic enclosure
  • (Anglais) Internet of Things
  • (Anglais) pogona
  • (Anglais) semantic rules
  • (Anglais) phytotron