Identification of quantifiable biological parameters for rescue personnel in the context of relational analysis of hazardous environments

The previous events in the industry reflect the need to take action to stop or at least slow down the development of damage and to prevent or reduce, as far as possible, their extent. In the case of breakdowns in industrial technological processes, their management requires, in addition to plant mai...

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Veröffentlicht in:MATEC web of conferences 2022, Vol.373, p.41
Hauptverfasser: Toth, Lorand, Găman, George Artur, Pupăzan, Daniel, Irimia, Alin, Kovacs, Izabella
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Sprache:eng
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Zusammenfassung:The previous events in the industry reflect the need to take action to stop or at least slow down the development of damage and to prevent or reduce, as far as possible, their extent. In the case of breakdowns in industrial technological processes, their management requires, in addition to plant maintenance personnel properly trained for such situations, the participation of specialized personnel for interventions in hazardous environments. To form an image, the intervention is described as a set of actions in the facilities of a technological flow in which an event out of technological control was triggered, which aims to stop the negative consequences. The systemic approach of the correlation of hazardous substances in connection with the hazardous environment, of the relationships between the hazardous environment, constructions, technological installations and personnel as well as the identification of the effects of hazardous environments allows the crystallization of a relational analysis of hazardous environments. In this context, rescuers involved in the liquidation of damage must have a high degree of practical and physical training. During the training / interventions, rescuers have the opportunity to constantly monitor their physiological parameters through wearables. This paper aims to identify quantifiable biometric parameters for rescue and rescue personnel in the context of relational analysis of hazardous environments.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/202237300041