scholarly journals Smart Forest Fire Identification and Notification System Using Iot Based Wireless Sensor Networks

Author(s):  
Santhiya M ◽  
Siva Rathnam M ◽  
Radha Krishnan T ◽  
Nishanth S

Wildlife and wildlife authorities face the problem of animal migration from woodland to residential areas in the present environment. Natural calamities triggered by nature, wind and dry undergrowth will destroy acres of land and consume everything in their way that causes significant harm to both natural and human capital. The proposed system to design an IoT-based system that will be able to detect the fire as soon as possible before the fire spreads over the wide area and prevent poaching. Raspberry interfacing with a temperature sensor, a smoke sensor, webcam and a buzzer. GSM gateway is used to conduct this project to provide the user with the final SMS via given number in simulation program. The temperature sensor used to indicate high and low temperatures, the PIR sensor designed to track human activity on the LCD display, the flame sensor used to signify the intensity of flames and the forest fire observed on the LCD display. Once large, image processing is used to determine the accuracy of the fire rate. Wireless Sensor Network (WSN) for data processing to be used as input data in our control system. WSN comprising of temperature sensor system and GPS module to sense forest fire by measuring the level and sending its position to the server utilizing GSM communication contact and GPS functionality. Raspberry Pi cluster, a complicated computation is broken into multiple parts using MPI, and each component runs on separate raspberry pi device. Such sections will be analysed in sequence and then MPI must merge the output and turn it over to the user, essentially they operate as individual units (but in tandem and together) to produce very quick results.

2017 ◽  
Vol 10 (3) ◽  
pp. 87-100
Author(s):  
Thamrin Thamrin ◽  
Delsina Faiza ◽  
Ilmiyati Rahmy Jasril

The aim of this research is to design and make stirring tool of corn grits with rotation speed of stirring based on temperature rise level detected by temperature sensor. Arduino Uno as reader of input data from temperature sensor and set output in the form of motor rotation stirrer, LCD display and buzzer. The benefits of this research in the field of application of electronics sensors in food processing, especially the effective and efficient corn grits processing. Both in terms of time, cost, energy and safety. Keywords: Designing, Stirring, Corn Grits, Arduino Uno, Sensor


2018 ◽  
Vol 7 (2.7) ◽  
pp. 124 ◽  
Author(s):  
M Trinath Basu ◽  
Ragipati Karthik ◽  
J Mahitha ◽  
V Lokesh Reddy

It has been found in a survey that 80% losses caused due to fire would have been kept away from if the fire was identified promptly. Node Mcu based IoT empowered fire indicator and observing framework is the answer for this issue.In this task, we have assembled fire finder utilizing Node Mcu which is interfaced with a temperature sensor, a smoke sensor and signal. The temperature sensor detects the warmth and smoke senssor detects any smoke produced because of consuming or fire. buzzer associated with Arduino gives us an alert sign. At whatever point fire activated, it consumes protests adjacent and produces smoke. A fire caution can likewise be activated because of little smoke from candlelight or oil lights utilized as a part of a family. Likewise, at whatever point warm force is high then additionally the alert goes on. Bell or alert is killed at whatever point the temperature goes to ordinary room temperature and smoke level decreases. We have additionally interfaced LCD show to the Node Mcu board.With the assistance of IoT innovation.Node MCU fire checking serves for mechanical need and also for family unit reason. At whatever point it recognizes fire or smoke then it immediately alarms the client about the fire through the ethernet module. For this reason, we are utilizing ESP8266 which is from Arduino IDE. Likewise, the Node Mcu interfacing with LCD show is done to show the status of the framework whether the Smoke and Overheat is identified or not. What's more, Node Mcu interfacing with Ethernet module is done as such that client become more acquainted with about the predominant condition message. It insinuate the client about the fire identification. This framework is extremely helpful at whatever point the client isn't in the closeness of control focus. At whatever point a fire happens, the framework naturally faculties and alarms the client by sending an alarm to an application introduced on user’s Android portable or page open through web.


2020 ◽  
Vol 7 (2) ◽  
pp. 109
Author(s):  
Abdul Zain ◽  
Rudi Hartono ◽  
Sri Handani W

Conflagration is an unpredictable tragedy. It may occur whether in the woodland areas or in the residential areas. Typically, it would only be recognized if indeed the flames spread and the smoke intensified. This study aims to detect fires using the MQ-2 smoke sensor, DS18b20 temperature sensor, and fire sensor. Using Arduino Uno as the controller, this system’s output is in the form of an alarm buzzer, Short Message Service (SMS) information using SIM800L, and an automatic fire pump. This system operates to detect the temperature shifts, the smoke concentration and the existence of a fire point which triggers an alarm in the form of a siren if two out of the three sensors are activated. It, then, sends information by Short Message Service (SMS) and automatically triggers the pump as the result. The fire sensor can detect hotspots with a maximum distance of 80 cm and the DS18b20 temperature sensor has an average reading error of 0.27 ° C with a maximum reading error of 0.5 ° C. The MQ-2 smoke sensor can detect smoke where the change in smoke concentration is directly proportional to the sensor output voltage. There are three conditions to determine fire conditions, namely the temperature sensor reads more than equal to 55 ° C and the fire sensor is active, or the temperature sensor reads more than equal to 55 ° C and the smoke sensor reads more than equal to 1000 ppm, or the fire sensor is active and smoke sensor reads greater than equal to 1000 ppm.


2014 ◽  
Vol 49 (8) ◽  
pp. 1682-1693 ◽  
Author(s):  
Seokhyeon Jeong ◽  
Zhiyoong Foo ◽  
Yoonmyung Lee ◽  
Jae-Yoon Sim ◽  
David Blaauw ◽  
...  

2018 ◽  
Vol 10 (10) ◽  
pp. 102 ◽  
Author(s):  
Yi-Han Xu ◽  
Qiu-Ya Sun ◽  
Yu-Tong Xiao

Forest fires are a fatal threat to environmental degradation. Wireless sensor networks (WSNs) are regarded as a promising candidate for forest fire monitoring and detection since they enable real-time monitoring and early detection of fire threats in an efficient way. However, compared to conventional surveillance systems, WSNs operate under a set of unique resource constraints, including limitations with respect to transmission range, energy supply and computational capability. Considering that long transmission distance is inevitable in harsh geographical features such as woodland and shrubland, energy-efficient designs of WSNs are crucial for effective forest fire monitoring and detection systems. In this paper, we propose a novel framework that harnesses the benefits of WSNs for forest fire monitoring and detection. The framework employs random deployment, clustered hierarchy network architecture and environmentally aware protocols. The goal is to accurately detect a fire threat as early as possible while maintaining a reasonable energy consumption level. ns-2-based simulation validates that the proposed framework outperforms the conventional schemes in terms of detection delay and energy consumption.


2014 ◽  
Vol 548-549 ◽  
pp. 744-747
Author(s):  
Chen Jie Qi ◽  
Hong Wei Wang

In this thesis, we take STM32F103R8T6 as main chip, SH79F32 as auxiliary chip, the temperature sensor of DS18B20 as collection tools, wireless transceiver based on nRF905 as communication tool, and reach the function of wireless sensor networks. Through Altium Designer Release 10 to conduct schematic design and draw PCB, and then solder circuit boards, use the software of Keil to design process, to realize wireless sensor communication between different microcontrollers, after that ,complete the design and production of wireless sensor communications platforms.


2013 ◽  
Vol 433-435 ◽  
pp. 1563-1566
Author(s):  
Jian Lin Zhang

An intelligent thermometer system design is presented in this paper. There are temperature sensor module, data collection module, data processing module, keyboard number tube module, voice module and LCD display module in this system. Due to excellent performance of temperature sensor, temperature sensor is used in system to obtain the temperature, transform the voltage, amplify OP precisely, and get 12 bits accuracy of samples. In order to make the system interface friendly, embedded software is developed to realize such functions as alarm temperature settings, LED screen display, audio playback and so on.


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