Ironclad Analytics: Data Analysis Platform for Environmental Conditions in Sealed Military Machinery

Military vehicles often operate in challenging environments with limited ventilation, potentially exposing personnel to harmful airborne contaminants such as particulate matter (PM) and volatile organic compounds (VOCs). This study investigates the risks posed by PM and VOCs to operators of these vehicles, focusing on scenarios with low ventilation. Exposure to PM can lead to various respiratory and cardiovascular issues, while VOCs can cause eye and respiratory irritation, headaches, and even more severe health problems with prolonged exposure. This research assesses the adequacy of currently available personal protective equipment (PPE) in mitigating these risks across a range of military operational tasks. This study utilizes a purpose-built IoT device, incorporating sensor fusion and machine learning, to analyze the effectiveness of different PPE solutions, including respirators, filters, and protective clothing, in reducing exposure to PM and VOCs within military vehicles. The device, designed for onboard deployment, facilitates real-time data acquisition and analysis. Furthermore, the research explores alternative mitigation strategies, such as advanced air filtration systems and ventilation improvements, to minimize health risks and optimize operational efficiency. Machine learning algorithms are employed to analyze the collected data and identify optimal strategies for mitigating exposure to PM and VOCs in various operational scenarios. Within the context of the Brazilian military and its diverse fleet of vehicles, this research examines the specific challenges posed by PM and VOCs in military vehicles with low ventilation. This study aims to support the development and implementation of comprehensive strategies to protect the health of Brazilian military personnel and ensure operational readiness across the full spectrum of military operations. The findings will be valuable to military decision-makers, vehicle designers, and health and safety professionals responsible for safeguarding personnel in challenging operational environments.

Publication Details

Published
2025-07-13
DOI
https://doi.org/10.32865/2346/102837
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
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article

Ironclad Analytics: Data Analysis Platform for Environmental Conditions in Sealed Military Machinery

Air Quality Monitoring and Forecasting
article

Ironclad Analytics: Data Analysis Platform for Environmental Conditions in Sealed Military Machinery

article en

Abstract

Military vehicles often operate in challenging environments with limited ventilation, potentially exposing personnel to harmful airborne contaminants such as particulate matter (PM) and volatile organic compounds (VOCs). This study investigates the risks posed by PM and VOCs to operators of these vehicles, focusing on scenarios with low ventilation. Exposure to PM can lead to various respiratory and cardiovascular issues, while VOCs can cause eye and respiratory irritation, headaches, and even more severe health problems with prolonged exposure. This research assesses the adequacy of currently available personal protective equipment (PPE) in mitigating these risks across a range of military operational tasks. This study utilizes a purpose-built IoT device, incorporating sensor fusion and machine learning, to analyze the effectiveness of different PPE solutions, including respirators, filters, and protective clothing, in reducing exposure to PM and VOCs within military vehicles. The device, designed for onboard deployment, facilitates real-time data acquisition and analysis. Furthermore, the research explores alternative mitigation strategies, such as advanced air filtration systems and ventilation improvements, to minimize health risks and optimize operational efficiency. Machine learning algorithms are employed to analyze the collected data and identify optimal strategies for mitigating exposure to PM and VOCs in various operational scenarios. Within the context of the Brazilian military and its diverse fleet of vehicles, this research examines the specific challenges posed by PM and VOCs in military vehicles with low ventilation. This study aims to support the development and implementation of comprehensive strategies to protect the health of Brazilian military personnel and ensure operational readiness across the full spectrum of military operations. The findings will be valuable to military decision-makers, vehicle designers, and health and safety professionals responsible for safeguarding personnel in challenging operational environments.

Openalex Percentile: Top 48%
Air Quality Monitoring and Forecasting
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Ironclad Analytics: Data Analysis Platform for Environmental Conditions in Sealed Military Machinery · (2025) | TGRS Research Map | TGRS