Building Operating Systems: A Cloud-based Architecture for Enabling Knowledge Representation and Improving the Adaptability in Smart Buildings

Adrian Taboada-Orozco, Kokou Yetongnon, Christophe Nicolle

2021

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.

Paper Citation

in Harvard Style

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) - Volume 2: KEOD; ISBN 978-989-758-533-3, SciTePress, pages 162-169. DOI: 10.5220/0010650400003064

in Bibtex Style

@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) - Volume 2: KEOD},
year={2021},
pages={162-169},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010650400003064},
isbn={978-989-758-533-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 2: 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
AU - Taboada-Orozco A.
AU - Yetongnon K.
AU - Nicolle C.
PY - 2021
SP - 162
EP - 169
DO - 10.5220/0010650400003064
PB - SciTePress