A prototype fire detection implemented using the Internet of Things and fuzzy logic

Listyorini, Tri and Rahim, Robbi (2018) A prototype fire detection implemented using the Internet of Things and fuzzy logic. World Transactions on Engineering and Technology Education, 16 (1). pp. 42-46. ISSN 1446-2257

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Dangerous fires often occur because slow fire spots have the potential to become big fires that are difficult to extinguish. An example of this danger are peatlands in Riau, Indonesia. These dangerous conditions can be ameliorated by first detecting them. A device was developed that can detect fire hotspots by using the Internet of Things (IoT) and fuzzy logic. This early prototype fire detection tool could identify hotspots in the peatlands by using fire sensors, temperature sensors, servo motors, buzzers and surveillance cameras controlled by a WEMOS ESP8266 microcontroller and by applying the fuzzy logic method to analyse the intensity of the detected flames. Based on an experiment using the prototype, fire detection devices with an IoT connection can speed up the monitoring of fire hotspots, and the use of fuzzy logic can minimise false warnings from fire detection devices. The prototype could be used as a medium of learning for high school students majoring in computer engineering and networking.

Item Type: Article
Subjects: Teknologi > Teknik elektro, Teknik Nukllir > Elektronika > Teknik komputer. Perangkat keras komputer
Ilmu Murni > Matematika > Komputer elektronik. Ilmu komputer
Ilmu Murni > Matematika > Perangkat lunak (software) komputer
Program Studi: Fakultas Teknik > S1 Teknik Informatika
Depositing User: mrs Tri Listyorini
Date Deposited: 13 May 2019 05:39
Last Modified: 13 May 2019 05:39
URI: http://eprints.umk.ac.id/id/eprint/10344

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