1. Proceedings
  2. I3M
  3. 2022
  4. SESDE
  5. 10.46354/i3m.2022.sesde.008

Sensor based IoT architecture for the indoor well-being

  • a Mariangela De Vita , 
  • b Eleonora Laurini , 
  • c Vincenzo Stornelli , 
  • d Giuseppe Ferri,
  • e Pierluigi De Berardinis
  • a,b,e ,Department of Civil, Building and Environmental Engineering, University of L’Aquila, Italy, Località Campo di Pile, via Gronchi 18, L’Aquila 67100, Italy
  • c,d Department of Industrial and Information Engineering and Economics, University of L’Aquila, Italy, Località Campo di Pile, via Gronchi 18, L’Aquila 67100, Italy
Cite as
De Vita M., Laurini E., Stornelli V., Ferri G., and De Berardinis P. (2022).,Sensor based IoT architecture for the indoor well-being. Proceedings of the 10th International Workshop on Simulation for Energy, Sustainable Development & Environment (SESDE 2022). , 008 . DOI: https://doi.org/10.46354/i3m.2022.sesde.008

Abstract

Indoor Environmental Quality (IEQ) has led to an evolution in the construction practice and building design. Up to now, the main research objectives in this field relate to the performance optimization of the structures, involving the energy saving - fuels and CO2 consumption - and environmental comfort issues in order to achieve a greater sustainability of the built environment. In light of the recent upheavals brought about by the SARS Cov 2 pandemic, attention to IEQ has shifted from the topic of building performance to that of people safety in closed environments. Therefore, living and working environments can greatly contribute to the safety of users and also contribute to improving their health state. This paper deals with the design of an IoT application for the construction sector suitable to both in human health protecting and building efficient energy functioning. In fact, thanks to a combined user-environment monitoring system, it is possible to manage the indoor environmental conditions according to the user psychophysical state and the IEQ parameters, dynamically detected over time. The research shows how, through a sensor network, it is possible to communicate the monitoring data with the automatic activation of environmental control devices such as controlled ventilation and daylighting systems.

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