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An Analysis on the Performance of a Mobile Platform with Gas Sensors for Real Time Victim Localization.

ABSTRACT: This work concerns the performance analysis of the sensors contained in a victim detection system. The system is a mobile platform with gas sensors utilized for real time victim localization in urban environments after a disaster has caused the entrapment of people in partially collapsed building structures. The operating principle of the platform is the sampling of air from potential survival spaces (voids) and the measurement of the sampled air's temperature and concentration of CO₂ and O₂. Humans in a survival space are modelled as sources of CO₂ and heat and sinks of O₂. The physical openings of a survival space are modelled as sources of fresh air and sinks of the internal air. These sources and sinks dynamically affect the monitored properties of the air inside a survival space. In this paper, the effects of fresh air sources and internal air sinks are first examined in relation to local weather conditions. Then, the effect of human sources of CO₂ and sinks of O₂ in the space are examined. A model is formulated in order to reliably estimate the concentration of CO₂ and O₂ as a function of time for given reasonable entrapment scenarios. The input parameters are the local weather conditions, the openings of the survival space, and the number and type of entrapped humans. Three different tests successfully verified the presented theoretical estimations. A detection system with gas sensors of specified or measured capabilities, by utilizing this model and based on the expected concentrations, may inform the operator of the minimum required presence of humans in a survival space that can be detected after "some time".

SUBMITTER: Anyfantis A

PROVIDER: S-EPMC7999499 | biostudies-literature |

REPOSITORIES: biostudies-literature

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An Analysis on the Performance of a Mobile Platform with Gas Sensors for Real Time Victim Localization.

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