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)