Industrial Internet of Things (IIOT) for Fire Risk Assessment Based on Electronic Sensor

Authors Rishi Dewan1, Prince Mishra2, Ranjeet Brajpuriya1
Affiliations

1University of Petroleum & Energy Studies, Via Prem Nagar, Dehradun 248001, Uttrakhand, India

2HSE Specialist – Momentum India Pvt. Ltd, Noida, U.P. India

Е-mail rishidewan@rediffmail.com
Issue Volume 14, Year 2022, Number 3
Dates Received 24 March 2022; revised manuscript received 26 June 2022; published online 30 June 2022
Citation Rishi Dewan, Prince Mishra, et al., J. Nano- Electron. Phys. 14 No 3, 03029 (2022)
DOI https://doi.org/10.21272/jnep.14(3).03029
PACS Number(s) 01.50.hv, 07.05.Tp
Keywords FRA (55) , GPS, Industry 4.0, Sensors (3) .
Annotation

Industry 4.0 means that devices are controlled with embedded computing. This cyber physical system enables us to utilize the Internet of things (IoT) infrastructure for human and industrial plant safety. The implementation of these automatic fire fighting systems is focused on the findings conducted during Fire Risk Assessment (FRA) for clients and vendors. The major contributor for deaths in a fire accident is due to excessive smoke inhalation. So, an early detection of fire is crucial in fire detection systems. The conventional fire detection system is unable to tell the exact location of the fire. In the proposed work, an IoT based fire safety system has been developed to overcome problems found during fire risk assessment. The implemented system consists of three major parts: a processing unit, surveillance, and a detector. The detector unit is an integration of carbon monoxide sensor, humidity sensor, buzzer, temperature sensor, ionization smoke detector with ESP32. In case of a fire breakout, the system will immediately sound the alarm, and the Global Positioning System (GPS) with the coordinates and floor plan of the accommodation will be send to the firefighting team and the authorities. The floor plan is developed in such a way that it tracks the exact location of the fire. A qualitative method has been used to determine the desired features integrated in the system and determine the level of usability for the improvement, if any, such as focused group discussions, safety audits and standards implementation. This work has mitigated fire risks on this kind of catastrophic event.

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