z-logo
open-access-imgOpen Access
Edge Computing and Artificial Intelligence Semantically Driven. Application to a Climatic Enclosure
Author(s) -
Olivier Debauche,
Saïd Mahmoudi,
Sidi Ahmed Mahmoudi,
Pierre Manneback,
Frédéric Lebeau
Publication year - 2020
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2020.07.077
Subject(s) - computer science , container (type theory) , enclosure , modular design , cloud computing , variety (cybernetics) , enhanced data rates for gsm evolution , phytotron , artificial intelligence , operating system , mechanical engineering , telecommunications , biology , botany , engineering
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom