scholarly journals IoT Based Forest Fire Detection System Using Raspberry PI and GSM

2021 ◽  
pp. 433-436
Author(s):  
Miss Aachal Ramteke ◽  
Prof. Rohini Pochhi ◽  
Prof Rahul Dhuture
Keyword(s):  
Forest Fire ◽  
Detection System ◽  
Fire Detection ◽  
Forest Monitoring ◽  
Raspberry Pi ◽  
Control Room ◽  
Large Area ◽  
Iot Platform ◽  
Software Sensors ◽  
Communication Facility

Internet of things (IoT) is the network of entities that consists of electronics, programmable software, sensors, and communication facility that enables these entities to gather and transfer data. Raspberry pi Microcontroller based IOT platform detects the forest fire as early as possible and takes speedy action before the fire spreads over large area. Sensors such as smoke sensors is connected with Raspberry Pi. GSM modem connected with Raspberry Pi alerts the forest monitoring control room.

scholarly journals An Iot Based Forest Fire Detection using Raspberry Pi

2019 ◽  
Vol 8 (4) ◽  
pp. 9126-9132
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Early Stage ◽  
Fire Detection ◽  
Base Station ◽  
Raspberry Pi ◽  
Alert Message ◽  
Forest Fire Detection ◽  
Monitoring Stations

As we all know forests are the main source of oxygen and its protection is essential to sustain the human and animal race. Since we all learnt about the necessity of air, yet we lack at taking measures to protect our mother forest. Forest Fires are the main reason for the deforestation and destruction of trees and wildlife. Forest Fires are due to these two ways either by man-made or naturally caused. In either way we have to pay for the loss occurred because we have left with only certain area for the forest. So, we have to take measures to prevent forest fire at its early stage. The main aim of our project is to design and implement an IoT based hardware module that could detect the fire and prevent it by alerting the monitoring stations with an alert message and also provides location to the nearest base station. An automatic message will be sent to the nearest base station in addition to these, it has a 360 degrees rotation camera which helps to provide continuous surveillance. We can rotate the camera in any direction from the base station itself. A buzzer that alarms when the incident is happening and a water motor, this water motor will be on automatically. We can also find location where the incident is taking place with the help of Wi-Fi module. This device helps in identifying the fire at its early stage and helps in the prevention of spread all over the forest.

scholarly journals Fire detection and notification using a Zigbee wireless sensor network

2021 ◽  
Vol I (I) ◽  
Author(s):  
Priyadharshini S
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Forest Fire ◽  
Forest Fires ◽  
Detection System ◽  
Fire Detection ◽  
Wireless Sensor ◽  
And Control ◽  
Forest Conditions

Forest fires are the most common threat in the woods. A combination of natural and human-made factors contributes to forest fires. Forest fires destroy trees, which are essential to produce oxygen, which we need to live. This new Zigbee-based wireless sensor network is being developed to overcome the limitations of existing technologies like the MODIS satellite-based detection system and a basic wireless sensor network. It's difficult to contain a forest fire that wasn't predicted or noticed in time. As a result, it's critical to catch a wildfire early enough before it spreads too far. Using a GSM device, the proposed method would gather data on forest conditions such as temperature, humidity, smoke, and flames, and deliver it to the appropriate authorities. There are three parts to the project's concept. Modules for sensors, gateways, and control centres make up the three sections. This project's main objective is to benefit others.

Fire Detection System using Raspberry Pi

2019 ◽  
Author(s):  
Muhammad Noman Aqeel Khan ◽  
Talha Tanveer ◽  
Kiran Khurshid ◽  
Hassan Zaki ◽  
Syed Sajjad Imam Zaidi
Keyword(s):  
Detection System ◽  
Fire Detection ◽  
Raspberry Pi ◽  
Fire Detection System

Field Experiment Testbed for Forest Fire Detection using Wireless Multimedia Sensor Network

2020 ◽  
Vol 10 (1) ◽  
pp. 3-14
Author(s):  
Houache Noureddine ◽  
Kechar Bouabdellah
Keyword(s):  
Field Experiment ◽  
Forest Fire ◽  
Field Experiments ◽  
Detection System ◽  
Low Cost ◽  
Fire Detection ◽  
False Alarms ◽  
Wireless Multimedia ◽  
Multimedia Sensor Networks ◽  
Forest Fire Detection

Forest fire disasters have arisen each year due to a number of factors. The main interest of the authorities is to fight against these fires as early as possible with a minimum of damage, by exploiting recent technologies suitable for this field. In this paper, we present the design and the implementation of a forest fire detection system based on the Wireless Multimedia Sensor Networks (WMSN) technology applied to our region (M'sila forest, Oran city - Algeria) using a field experiment testbed with low cost hardware and software. In our previous study, the designed system detects the fire using a mono modal approach (the sensed data was scalar in nature such as the temperature and humidity). In this work, we enhanced this system by collecting, in addition, richer information sources using cameras as data sources (by capturing images) to eliminate the false alarms which present the main weakness of the first system. We call this new system as Multimedia Forest Fire System (M2FS). Field experiments that we have carried out using the testbed under different scenarios by evaluating the image compression, time constraint and energy consumption, allowed us to validate our chosen technology (Arduino mote) for any application (scalar or multimedia), and also revealed the supremacy of the multimodal approach to mitigate efficiently false alarms.

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