Smart IoT system empowered by customized energy-aware wireless sensors integrated in graphene-based tissues to improve workers thermal comfort. (1st August 2022)

• Record Type: Journal Article
• Authors: Catarinucci, Luca; Colella, Riccardo; Corcione, Carola Esposito; Ingrosso, Chiara; Greco, Antonio; Ferrari, Francesca; Curri, Maria Lucia; Leo, Carlo Giacomo; Mandriota, Giacomo; Molinaro, Vincenzo; Montanaro, Teodoro; Patrono, Luigi; Sabina, Saverio; Sergi, Ilaria; Shumba, Angela Tafadzwa; Spedicato, Luigi; Striani, Raffaella
• Is Part Of: Journal of cleaner production. Volume 360(2022)
• Publication Date: 2022-08-01
• Subjects: Bluetooth low energy -- Internet of things -- Innovative textile -- Thermal comfort -- Wireless sensors; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2022.132132
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: Thermal stress is a factor that must be considered, particularly in working environments where severe microclimatic conditions can lead to a loss of well-being or, in the worst-case scenario, to worker health damage. When it comes to thermal comfort, the best conditions for ensuring worker activity, productivity, and well-being include not only the proper design of spaces and cooling/heating systems, but also constant, real-time monitoring of the worker's physical condition. This work aims to present a complete system comprising various components capable not only of ensuring the worker's thermal comfort through the use of innovative textiles for optimal heat exchange between the individual and the environment, but also of continuously monitoring certain physiological parameters useful in determining whether the worker is subject to thermal stress. The system developed also allows the worker to be warned in the event of thermal stress and provides control and analysis tools to safety operators. This work, in particular, provides ample space for the description and validation of the textile component, in addition to presenting the system architecture and describing the main components. Finally, the wireless sensors designed to monitor physiological parameters are described and validated, and a brief functional validation of some of the architecture's software components is presented.