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A smart fire detection system using iot technology with automatic water sprinkler

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 11 No. 4 (2021)

DOI
10.11591/ijece.v11i4.pp2994-3002
ISSN
2722-2578, 2088-8708
Published
2021-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

House combustion is one of the main concerns for builders, designers, and property residents. Singular sensors were used for a long time in the event of detection of a fire, but these sensors can not measure the amount of fire to alert the emergency response units. To address this problem, this study aims to implement a smart fire detection system that would not only detect the fire using integrated sensors but also alert property owners, emergency services, and local police stations to protect lives and valuable assets simultaneously. The proposed model in this paper employs different integrated detectors, such as heat, smoke, and flame. The signals from those detectors go through the system algorithm to check the fire's potentiality and then broadcast the predicted result to various parties using GSM modem associated with the system. To get real-life data without putting human lives in danger, an IoT technology has been implemented to provide the fire department with the necessary data. Finally, the main feature of the proposed system is to minimize false alarms, which, in turn, makes this system more reliable. The experimental results showed the superiority of our model in terms of affordability, effectiveness, and responsiveness as the system uses the Ubidots platform, which makes the data exchange faster and reliable.

Collaboration network of the authors

11 authors · 23 co-authorship links · 17 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Asia Pacific University of Technology & Innovation
  • Universiti Teknologi Petronas
  • University of Jeddah
  • Prince Sultan University
  • Universiti Sains Malaysia
  • INTI International University
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Abdullah HamasAsia Pacific University of Technology & Innovation2
Putra SumariUniversiti Sains Malaysia1
Choo Wou OnnINTI International University1
Rao Faizan AliUniversiti Teknologi Petronas1
Ahmed AlmaghthawiUniversity of Jeddah1
Shakirah Mohd TaibUniversiti Teknologi Petronas1
Amal AlghamdiUniversity of Jeddah1
Ebrahim A. A. GhalebUniversiti Teknologi Petronas1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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