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Journal of Innovation in Computer Science and Engineering
Year : 2021, Volume : 11, Issue : 1
First page : ( 33) Last page : ( 37)
Print ISSN : 2278-0947. Online ISSN : 2455-3506.

Forest fire detection using internet of things

Sreeja G1*, Kumar B Sampath1**, Kalyan D1***, Nimish M1****

1Department of Computer Science and Engineering, Anurag Group of Institutions, Hyderabad, India

*E-mail: sreejacse@cysr.ac.in

**17h61a05j7@cvsr.ac.in

***17h61a05k3@cvsr.ac.in

****17h61a05m7@cvsr.ac.in

Online published on 04 December, 2021.

Abstract

Forest Fire Accidents are main reasons for destruction of wealth of the forest. A Forest fire cause serious threat to the environment, disturbs the forest wealth, and imposes a natural disaster. The response time of emergency teams greatly affects the consequences and losses caused by them, so by implementing this forest fire detection using IoT systems can be considered a main objective for protectingthe environment. In this proposed system, the real-time monitoring of certain environmental parameters may make the forest fire prevention, detection, and fighting more efficient and cause less damage to forest wealth. Ecosystem of the forest is under high risk. The delay in reaching of the emergency services to the fire accident location may damage eco-system of the project. The proposed system detects the fire using the fire detection sensors like temperature sensor, infrared sensor, smoke sensor and the exact location of the fire in the forest which is obtained by GPS module is send to the emergency team using GSM module. This proposed IOT based forest fires detection system helps to reduce the damage to the forest due to fire. This design focuses on providing basic information on the fire accident site to the emergency contacts. As a results of the sudden help, precious forest wealth may get saved. This design detects fire accidents in less time and sends this information to the specified authorities. On account of a fire accident, with help of employed sensors the system detects an emergency and fetches the location details immediately

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Keywords

Arduino, GSM Module, GPS Module, Infrared Sensor, LM35 Sensor, Q-2 Gas Sensor, Buzzer.

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