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An Automated Cost-effective IoT-based Industrial Fire Prevention and Health Surveillance System | IEEE Conference Publication | IEEE Xplore

An Automated Cost-effective IoT-based Industrial Fire Prevention and Health Surveillance System


Abstract:

Bangladesh, a developing and overcrowded country, uses its overpopulation as a human resource to conquer poverty on its own. Despite that, the stakeholders sacrifice the ...Show More

Abstract:

Bangladesh, a developing and overcrowded country, uses its overpopulation as a human resource to conquer poverty on its own. Despite that, the stakeholders sacrifice the working environment of the workers. Bangladesh's industrial sectors have lately seen multiple fire breakouts in several cases, severely compromising worker safety. Moreover, due to the emission of toxic gasses, imbalanced air pressure, and high humidity and temperature, workers suffer from various respiratory and other diseases in Bangladesh. The study proposes to develop a low-cost automated IoT-based device that helps to prevent industrial fires and ensure a safe working environment for workers. The developed device employs multiple gas sensor nodes to detect flammable gasses, which aids in predicting any fire threats and automatically shuts down the gas and electricity supply to avoid fire occurrence and reduce any additional risks. It also notifies stakeholders about the hazards via emails/messages and notifications on a smartphone application and set off an alarm to alert workers to evacuate the workplace. Furthermore, if the gas sensors in the device fail to predict unexpected changes in gasses, PIR sensors are employed to detect any incidence of fire and set off an alarm, as well as provide notification to stakeholders to take safety measures. In addition, the device measures temperature, humidity, and barometric pressure and notify the stakeholders to take measures if the data from the sensors exceeds the safety parameters to ensure a safe environment for the workers.
Date of Conference: 03-05 September 2023
Date Added to IEEE Xplore: 02 January 2024
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Conference Location: Berlin, Germany

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