Litcius/Paper detail

IoT and Big Data Analytics for Smart Buildings: A Survey

Abdellah Daissaoui, Azedine Boulmakoul, Lamia Karim, Ahmed Lbath

2020Procedia Computer Science157 citationsDOIOpen Access PDF

Abstract

The processes of digital transformation have involved a variety of socio-technical activities, with the objective of increasing productivity, safety and quality of execution, sustainable development, collaborative working and solutions for the sustainable smart city. The major digital trends, changing the building sector and revealing new trends of understanding information technologies to integrate in this sector. Current smart building management systems incorporate a variety of sensors, actuators and dedicated networks. Their objectives are to observe the condition of specific areas and apply appropriate rules to preserve or improve comfort while saving energy. In this paper, we propose a review of related works to IoT, Big Data Analytics in smart buildings.

Topics & Concepts

Variety (cybernetics)Computer scienceBig dataAnalyticsDigital transformationData scienceSmart cityInternet of ThingsProductivityBuilding automationData analysisQuality (philosophy)Computer securityWorld Wide WebArtificial intelligenceThermodynamicsEpistemologyPhilosophyOperating systemData miningPhysicsEconomicsMacroeconomicsIoT and Edge/Fog ComputingContext-Aware Activity Recognition SystemsAir Quality Monitoring and Forecasting