Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
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---|---|---|
Article Number | 01109 | |
Number of page(s) | 17 | |
DOI | https://doi.org/10.1051/matecconf/202439201109 | |
Published online | 18 March 2024 |
An Efficient IoT-Based Novel Approach for Fire Detection Through Esp 32 Microcontroller in Forest Areas
1 Department of AI&ML, KG Reddy College of Engineering and Technology, Moinabad, Hyderabad, Telangana - 501504
2 Department of Information Technology, GRIET, Hyderabad, Telangana, India.
* Corresponding author: subbu.kgrcet@gmail.com
Forest fires have become a major threat these days. The hazard posed by forest fires has increased globally. It has a detrimental effect on both human and forest ecosystems. Forest fires can be due to natural changes such as changes in the climate and the Greenhouse effect is due to human activities. Human activities are the major reason for forest fires interestingly. It is important to spot the fires early to reduce the major destruction and loss. In this project, we have proposed a system and methodology which is a wireless sensor network to identify forest fires in early stage. Our project will help to detect the fire in the early stage by using the sensor and intimate through a buzzer and a message to the administration of the forest, therefore the immediate necessary actions can be taken in time and can stop the fire. Administrative officers are constantly monitored. This system has many benefits and protects the environment, forest survivors, infrastructure, lives, and ecosystem. Saving our environment is a major thing in this developing country and world. Forest fire is a biggest natural and man-made calamity int he world. It’s a environment tragedy. Once the fire is not detected and it spreads over a huge area destroying everything, such destruction should be avoided and should save our forest habitats effort of this project is to create and implement a IoT based system that can sense and detect forest fires in early and notify to the responsible officials.
Key words: ESP-32 Board / MQ6 Gas Sensor / DHT11 Temperature Sensor / Buzzer / GPS module / Google Firebase / Kodular Mobile App
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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