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Authors: Adrian Taboada-Orozco ; Kokou Yetongnon and Christophe Nicolle

Affiliation: Laboratory CIAD, Univ. Bourgogne Franche-Comté, CIAD EA 7533, 21000 Dijon, France

Keyword(s): Internet of Things, Knowledge Representation, Smart Building, Building Automation Systems, Building Operating Systems, Smart Cities, Adaptability.

Abstract: Hardware and software’s constant evolution opens new horizons for developing systems focused on buildings. Thanks to this evolution, the smartization of them is possible. The target of building automation systems is always to reduce human intervention, thus avoiding errors and maximizing the building resources. However, these systems still require an operator that knows the building’s topology, the elements inside, the dwellers’ preferences, and how to operate the automation system. The operator uses this knowledge to adapt the automation system by configuring parameters and thresholds to deal with the most common issues in buildings. This paper introduces a new approach named WITTYM-BOS (W-BOS) that consists of a unique Building Operating System (BOS) architecture, doted with a knowledge representation comparable with the operators’ knowledge. In this way, we transfer the abilities of an operator to improve the adaptability of a building automation system like BOS. To construct the knowledge, we combine static and dynamic information such as Industrial Foundation Classes (IFC) and data coming from the Internet of Things (IoT). We construct a preliminary prototype to illustrate our concept and validate use cases. Our work opens new horizons to innovative applications that profit from the easy understandability of our approach. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Taboada-Orozco, A.; Yetongnon, K. and Nicolle, C. (2021). Building Operating Systems: A Cloud-based Architecture for Enabling Knowledge Representation and Improving the Adaptability in Smart Buildings. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KEOD; ISBN 978-989-758-533-3; ISSN 2184-3228, SciTePress, pages 162-169. DOI: 10.5220/0010650400003064

@conference{keod21,
author={Adrian Taboada{-}Orozco. and Kokou Yetongnon. and Christophe Nicolle.},
title={Building Operating Systems: A Cloud-based Architecture for Enabling Knowledge Representation and Improving the Adaptability in Smart Buildings},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KEOD},
year={2021},
pages={162-169},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010650400003064},
isbn={978-989-758-533-3},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KEOD
TI - Building Operating Systems: A Cloud-based Architecture for Enabling Knowledge Representation and Improving the Adaptability in Smart Buildings
SN - 978-989-758-533-3
IS - 2184-3228
AU - Taboada-Orozco, A.
AU - Yetongnon, K.
AU - Nicolle, C.
PY - 2021
SP - 162
EP - 169
DO - 10.5220/0010650400003064
PB - SciTePress