A Fire Detection System Using Multi-Sensor Networks Based on Fuzzy Logic in Indoor Scenarios

Author(s):  
Fathur Zaini Rachman ◽  
Gamantyo Hendrantoro ◽  
Wirawan
2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Deden Ardiansyah ◽  
Anjyaz Anjani

Automation system in its function to helps and makes human life easier has experienced a significant growth in recent years, for example in security field. Low security level such as no fire detection system is one of the factors which is supporting the possibilities of fire accidents to happen. This system detects the possibilities fire using fuzzy logic. This system uses microcontroller Arduino Uno as control unit, flame sensor to check infrared ray from the fire, DHT11 temperature sensor to monitor the temperature in the room, and GSM shield to send SMS. Sensors will detect fire in the room and send the collected information to be processed by Arduino Uno by implementing fuzzy logic. SMS-Based Indoor Fire Detection System Models Using Fuzzy Logic has many benefits in the development of room safety systems from fire hazards. The design of this system is simple but can be widely applied to further research development.


2013 ◽  
Vol 300-301 ◽  
pp. 523-526
Author(s):  
Wen Tsai Sung ◽  
Jui Ho Chen

Wireless Sensor Networks have recently been used for environmental monitoring and real time event detection because of their low implementation costs and distributed sensing and processing capabilities. Event detection is a critical issue in wireless sensor networks. Fire detection is used as an example in our event detection system. Algorithms are required to detect fire sensors and measure the environmental parameters (temperature, humidity, light intensity, and Carbon Monoxide) to determine if a fire is present or not. It is urgent to research fire detection techniques that are efficient, convenient and practical. Although there are several works on fire detection using WSNs, sufficient attention has rarely been paid to using fuzzy logic methods. We present a novel approach based on fuzzy logic for multi-sensors data fusion in a wireless sensor network system with a node-sink mobile network structure to detect fire. Through simulation results, it is shown that the proposed innovative fuzzy logic algorithm can improve the reliability and accuracy of sensed information and reduce the rate of false alarm.


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