Automatic Forest Fire Detection and Suppression Smart Grid System
DOI:
https://doi.org/10.32628/IJSRST2183158Keywords:
Forest fire, Detection, suppression, Sensor networkAbstract
Over the past years, a radical change in Earth’s temperature has been recorded. It has caused global warming and severe changes in climatic conditions. Naturally, this has resulted in many natural disasters. Forest fire is one such calamity that harms the environment to a great extent. The traditional methods of controlling and suppressing the fires are ineffective as the fires spread too rapidly if it is not contained at the initial stage. Hence this paper proposes a system that aims to automatically detect forest fires and suppress them. This system will suppress and contain the forest fires long enough for the firefighters to arrive.
References
- "BBC," 13 January 2020. [Online]. Available: https://www.bbc.com/news/world-australia-50951043.
- Z. Yingli, X. Lingqin and Y. Tingting, "Monitoring System for Forest Fire Based on Wireless," Proceedings of the 10th World Congress on Intelligent Control and Automation, no. 6, 2012.
- H. Dang-Ngoc and H. Nguyen-Trung, "Aerial Forest Fire Surveillance - Evaluation of Forest Fire Detection Model using Aerial Videos," in 2019 International Conference on Advanced Technologies for Communications (ATC), 2019.
- T. Divya, M. Vijayalakshmi and S. Anupama Kumar, "Speculation of Forest Fire Using Spatial and Video Data," in 2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE), 2019.
- G. Demin, L. Haifeng, J. Anna and W. Guoxin, "A forest fire prediction system based on rechargeable wireless sensor networks," in 2014 4th IEEE International Conference on Network Infrastructure and Digital Content, 2014.
- L. Guang-Hui, Z. Jun and W. Zhi, "Research on Forest Fire Detection Based on Wireless Sensor Network," in 2006 6th World Congress on Intelligent Control and Automation, 2006.
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