An IoT-Based Smart Building Solution for Indoor Environment Management and Occupants Prediction

Alessandro Floris, Simone Porcu, Roberto Girau and Luigi Atzori
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Alessandro Floris: Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy
Simone Porcu: Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy
Roberto Girau: Department of Computer Science and Engineering, University of Bologna, 40126 Bologna, Italy
Luigi Atzori: Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy

Energies, 2021, vol. 14, issue 10, 1-17

Abstract: Smart buildings use Internet of Things (IoT) sensors for monitoring indoor environmental parameters, such as temperature, humidity, luminosity, and air quality. Due to the huge amount of data generated by these sensors, data analytics and machine learning techniques are needed to extract useful and interesting insights, which provide the input for the building optimization in terms of energy-saving, occupants’ health and comfort. In this paper, we propose an IoT-based smart building (SB) solution for indoor environment management, which aims to provide the following main functionalities: monitoring of the room environmental parameters; detection of the number of occupants in the room; a cloud platform where virtual entities collect the data acquired by the sensors and virtual super entities perform data analysis tasks using machine learning algorithms; a control dashboard for the management and control of the building. With our prototype, we collected data for 10 days, and we built two prediction models: a classification model that predicts the number of occupants based on the monitored environmental parameters (average accuracy of 99.5%), and a regression model that predicts the total volatile organic compound (TVOC) values based on the environmental parameters and the number of occupants (Pearson correlation coefficient of 0.939).

Keywords: Internet of Things; smart building; occupants prediction; environmental parameters; data analytics (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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