Multisensory Fire Detection and Alerting System Using Fuzzy Logic
Keywords:
Data Fusion, ?re Detection, Fuzzy Logic, Microcontroller-Based, Real-Time, Web-Based.Abstract
This paper presents the design of a fuzzy logic based multisensory ?re detection system and a web-based noti?cation system. Recently, most ?re detection systems working with the help of only smoke detectors. The problem is the lack of adequate alert and notifying mechanisms. A typical system relies on the physical presence of a human being to act on the alert. In developing countries, poor planning and addressing negatively affects the ?re and rescue crew’s response time. To address this problem, a fuzzy logic system was implemented using an Arduino development board with inputs from an MQ2 smoke sensor, a TMP102 temperature sensor, and a DFRobot ?ame sensor. The output of the detection system is sent over short message service (SMS) using a SIM900A global system for mobile communication (GSM) module to the web-based system and the house owner or caretaker in real-time. With access granted to the web-based system, the ?re and rescue crew also get noti?ed in real-time with location information. A comparison between the ef?ciency of the noti?cation system employed by standard ?re detectors and the multisensory remote-based noti?cation approach adopted in this paper showed signi?cant improvements in the form of timely detection, alerting, and response.
References
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