4.7 Article

Smart IoT system empowered by customized energy-aware wireless sensors integrated in graphene-based tissues to improve workers thermal comfort

期刊

JOURNAL OF CLEANER PRODUCTION
卷 360, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2022.132132

关键词

Bluetooth low energy; Internet of things; Innovative textile; Thermal comfort; Wireless sensors

资金

  1. Italian National Institute for Insurance against Accidents at Work (INAIL) (Italy)
  2. Bando BRiC
  3. Bando Ricerche in Collaborazione

向作者/读者索取更多资源

This article presents a complete system that includes multiple components, which ensure workers' thermal comfort through optimal heat exchange using innovative textiles, and continuously monitor physiological parameters to determine if workers are experiencing thermal stress.
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.

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