A Cognitive Strategy for Renovation and Maintenance of Buildings through IoT Technology

• 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.

Nyckelord

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

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