A Cognitive Strategy for Renovation and Maintenance of Buildings through IoT TechnologyShow others and affiliations
2020 (English)In: Proceedings, IEEE Computer Society , 2020, p. 1949-1954, article id 9254980Conference paper, Published paper (Refereed)
Abstract [en]
Recently, designers of the home automation framework are looking to the Internet of Things (IoT) model to make it easier to deploy devices capable of gathering data from various plants. This situation is pushing a further evolution: from the conventional building automation, where the logic is determined by the installer or by the customer, to a cognitive system, capable of learning from the customers' preferences what the best plant configuration would be. The aim of this research work is to identify issues related to the implementation of cognitive solutions during the renovation process of buildings. The paper proposes a cognitive framework to help the operation and management phases of buildings, by means of the digitalization of the supply chain of the construction industry, from the single building aspect to the entire construction cycle. The paper presents the design of smart building elements with integrated capability to generate a massive amount of data for monitoring the energy and maintenance status of renovated buildings. The IoT paradigm has been used to link the physical word of building elements with the cognitive layer. The proposed approach has been applied and validated into a real test case. © 2020 IEEE.
Place, publisher, year, edition, pages
IEEE Computer Society , 2020. p. 1949-1954, article id 9254980
Keywords [en]
Building Automation, cognitive building, Energy Efficiency, fieldbus, Internet of Things, Konnex, predictive maintenance, Building components, Cognitive systems, Construction industry, Industrial electronics, Intelligent buildings, Supply chains, Building element, Cognitive frameworks, Cognitive Strategy, Construction cycle, Home automation, Internet of thing (IOT), Operation and management
Identifiers
URN: urn:nbn:se:miun:diva-41499DOI: 10.1109/IECON43393.2020.9254980Scopus ID: 2-s2.0-85097780399ISBN: 9781728154145 (print)OAI: oai:DiVA.org:miun-41499DiVA, id: diva2:1536337
Conference
46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020; Virtual, Singapore; Singapore; 19 October 2020 through 21 October 2020
2021-03-102021-03-102021-04-27Bibliographically approved