Fire Accidents detection and Prevention in a Fireworks Industry Using IoT

Jayashri Murali, Newlin Rajkumar, Bhuvaneshwari P


Internet of Things is the vision towards future connecting the smart devices, sensors and actuators. These are the devices that directly exchange data between themselves with the help of internet and without human intervention. When we analysed about the fireworks accidents, they are being dealt with only human intervention. The detection and prevention of fire accidents is being done using colour pixel classification i.e., one of the image enhancement techniques. It does by capturing the image, analysing and making RGB to YCM conversions. Our research is to overcome the disadvantages like the lack of accuracy in the image enhancement technique. The main reason behind these accidents is due to GUN POWDER. The chemicals in the gun powder are not the only reason but also the temperature in the range of 35 -45 degrees which destroys the entire surrounding that area. So we have proposed a paper of detecting and preventing the fire accidents in advance by using IOT. We use temperature sensor, humidity sensor, sulphur sensor, flame detecting sensor, oxygen sensor, hydrogen sensor to detect the chemical misbalance and raise in temperature in the surrounding thereby sending a notification to the application and website being connected to the industry and also an alarm that alerts when a temperature or the poisonous gases goes beyond the given range. Therebyachieving 100% accuracy in our prediction.

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NurulShakiraBakri, Ramli Adnan, AbdMananSamad, FazlinaAhmatRuslan, “A Methodology for Fire Detection Using Colour Pixel Classification” 2018 IEEE 14th International Colloquium on Signal Processing & its Applications (CSPA 2018), 9 -10 March 2018

Dr. N. Rajathilagam,Dr. A. Azhagurajan,”Analysis of Accident Causes in Firework Industries by Factor Analyis Technic”, International Journal of Management and Social Sciences Research (IJMSSR) ISSN: 2319-4421 Volume 4, No. 3, March 2015

Annalisa Pironea, Maria R. Vallerotondaa, Paolo A. Bragatto “Lessons Learned From Recent Accidents In Fireworks Establishments”, Chemical Engineering Transactions Vol. 53, 2016 ISBN 978-88-95608-44-0; ISSN 2283-9216

Malykhina G.F., Guseva A.I., Militsyn A.V.,” Early Fire Prevention in Plant”, 2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).

Ping-He Huang ,Jing-Yong Su, Zhe-Ming Lu, Jeng-Shyang Pan,” A Fire-Alarming Method Based on Video Processing”, Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

R.Lenin Raja, P.Mariselvam, U.Manimegalai,”An Innovative Prevention System For Fireworks Raw Materials Through Modernized Sensor Technique”, International Journal Of Environmental Technologies,April 2015,Vol-01,Issue-02,pp.:1-8.

OxsyGiandi, RiyanartoSarno,” Prototype of Fire Symptom Detection System”, 2018 International Conference on Information and Communications Technology (ICOIACT).

S.R.Vijayalakshmi , S.Muruganand,”Internet of Things technology for fire monitoring system”, International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 p-ISSN: 2395-0072



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