The improvement of workers' safety, especially in complex and potentially dangerous scenario is a mandatory task. To this end, in recent years, there has been a large interest to complement actual passive solutions with IoT based system in order to provide a context related awareness information. Indeed, well informed workers can better manage anomalous situations avoiding dangerous situations. Unfortunately, the large part of the solutions proposed in the literature have difficulties to be accepted because they have implicitly mechanism that can, even if only in potential, be used to monitoring the workers' activities. With the aim to overcome such drawback, in the context of Smart-Bench project we propose a fully distributed solution where all the detailed information is managed in order to avoid any possible incorrect abuse of the data. In more detail, using an architecture based on deployed and wearable sensors, the system is able to provide information about the environmental status directly and exclusively to the worker. Only in case of anomalous situation the information is shared in order to better manage the crisis. With the aim to design a solution easy to be implemented with limited effort and fully integrated with the IoT standards, we propose a distributed infrastructure based on the BLE standard.
A privacy-oriented solution for the improvement of workers safety
Gnoni M. G.;
2020-01-01
Abstract
The improvement of workers' safety, especially in complex and potentially dangerous scenario is a mandatory task. To this end, in recent years, there has been a large interest to complement actual passive solutions with IoT based system in order to provide a context related awareness information. Indeed, well informed workers can better manage anomalous situations avoiding dangerous situations. Unfortunately, the large part of the solutions proposed in the literature have difficulties to be accepted because they have implicitly mechanism that can, even if only in potential, be used to monitoring the workers' activities. With the aim to overcome such drawback, in the context of Smart-Bench project we propose a fully distributed solution where all the detailed information is managed in order to avoid any possible incorrect abuse of the data. In more detail, using an architecture based on deployed and wearable sensors, the system is able to provide information about the environmental status directly and exclusively to the worker. Only in case of anomalous situation the information is shared in order to better manage the crisis. With the aim to design a solution easy to be implemented with limited effort and fully integrated with the IoT standards, we propose a distributed infrastructure based on the BLE standard.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
