Abstract
The time lag between the identification and the initiation of the actuation protocol is more in conventional fire combat system. This in turn increases the response time resulting in financial loss as well as injuries to human beings. In this paper an efficient method of fire combat is proposed to eliminate resource loss. This system extinguishes fire before it reaches its destructive level. It eliminates all the flaws of the conventional fire extinguishers and improves the damage limitation by raising an alarm. Further by applying HAAR cascade classifier machine learning algorithm, accuracy of 70-75 % is achieved to detect fire. It also provides minimum latency and optimal response in detecting fires and differentiating them from false triggers. It is observed that the response time of proposed fire combat system is 2-4 seconds. The automatic mode is reliable in the presence of multiple units that are deployed in the same area of interest. The system is able to cover the entire hemispheric 3D volume of the room as per the industrial and domestic safety standards.
Highlights
Fire breakouts cause a lot of damage to life and property
Water sprinklers are used for combating fire breakouts
On the other hand, resolving such methods leads to off target deployment of water. This demands that the response time of conventional fire combat system needs to be reduced as it does not provide immediate assistance in critical situations [1,2]
Summary
Fire breakouts cause a lot of damage to life and property. The conventional methods for fire detection and extinguishing make use of gas sensors and temperature sensors. Smoke detection and temperature variation sensing form the basis of these techniques. These systems offer more latency in detecting fire and more damage. Water sprinklers are used for combating fire breakouts. The drawback of using sprinklers is that they deploy water-jets throughout the given room and fail to combat fires that are localized to a certain area of the room. On the other hand, resolving such methods leads to off target deployment of water. This demands that the response time of conventional fire combat system needs to be reduced as it does not provide immediate assistance in critical situations [1,2]
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More From: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
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