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GSM Module based Multisensors Integrated Electronic System for Fire Detection

Preeti ., Sanjay S. Rathore, Jitender Kumar, Krishan Kumar, Raunaq .

Abstract


Forest fires often occur in wild areas due to human activities of negligence and changes in the environment. They wreak havoc on the environment and may even kill humans and wildlife. Therefore, forest fires should be detected in advance to prevent serious damage. There are many systems available such as Satellite Systems, CCD CAMERA, wireless system and Bluetooth technology. Perhaps these systems provide a complete picture of the world but after a long scan. For example, a satellite surveillance system, has a long scanning period and limited image quality due to saturated pixel dots. Another issue is that cloud layers may obscure photos during the scanning process, and real-time quantitative quantification of fire parameters is extremely challenging.

Compared with conventional forest fire detection methods, a wireless sensor network system has been proposed in the present article. Wireless sensor networks are used for a variety of applications such as accommodation monitoring, automation, agriculture, and safety. This article introduces the design of the system for detecting temperature and humidity and smoke to prevent a catastrophe (forest fire) that can lead to the loss of a significant number of natural cords. In this work, a number of tests have been performed to ensure the effectiveness of the program.


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References


A. A. A. Alkhatib, “A Review on Forest Fire Detection Techniques,” International Journal of Distributed Sensor Networks, vol. 10, no. 3, p. 597368, Jan. 2014, doi: https://doi.org/10.1155/2014/597368.

M. Krishnamoorthy, M. Asif, P. P. Kumar, R. S. S. Nuvvula, B. Khan, and I. Colak, “A Design and Development of the Smart Forest Alert Monitoring System Using IoT,” Journal of Sensors, vol. 2023, p. e8063524, Feb. 2023, doi: https://doi.org/10.1155/2023/8063524.

M. A. Ramteke, Prof. R. Pochhi, and P. R. Dhuture, “IoT Based Forest Fire Detection System Using Raspberry PI and GSM,” International Journal of Advanced Research in Science, Communication and Technology, pp. 433–436, May 2021, doi: https://doi.org/10.48175/ijarsct-1219.

U. Arun Ganesh, M. Suresh Anand, S. Arun, M. Dinesh, P. Gunaseelan, and R. Karthik, “Forest Fire Detection Using Optimized Solar - Powered Zigbee Wireless Sensor Networks,” Jan. 2013.

B. Sun, L. Osborne, Y. Xiao, and S. Guizani, “Intrusion detection techniques in mobile ad hoc and wireless sensor networks,” IEEE Wireless Communications, vol. 14, no. 5, pp. 56–63, Oct. 2007, doi: https://doi.org/10.1109/mwc.2007.4396943.

D. Kinaneva, G. Hristov, J. Raychev, and P. Zahariev, “Early Forest Fire Detection Using Drones and Artificial Intelligence,” IEEE Xplore, May 01, 2019. https://ieeexplore.ieee.org/abstract/document/8756696.

Z. Husin and E. Nur Aziz, “Development of Flood and Rainfall Detection Prototype Based on Arduino Uno and GSM,” JURNAL TIARSIE, vol. 14, Jan. 2018, doi: https://doi.org/10.32816/tiarsie.v14i1.20.


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