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Implementation of a Fire Prevention System using IoT and IFTTT

Published:15 October 2021Publication History

ABSTRACT

The fire prevention system applying IoT provides security and well-being to people. This system develops a unique model applying low-cost technology; furthermore, the use and interaction of this system with the user, through a web platform, are easy. The model was carried out by analyzing the different devices on the market that have the characteristic of sending and receiving data in the cloud. The ESP8266 device was used in this project, as it has all the necessary features at a reduced price. This device receives information from the sensors so that the development board sends an SMS through the IFTTT application, which takes 2 seconds to reach the user's cell phone and the fire department, providing them with the link to the web platform that shows the real data. The system performed successfully against testing in a real environment.

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References

  1. Jimin Son, Sungwoo Jo, Sun-Kyu Jung, and Hyun-Tak Kim. 2019. Ultralow Power Wireless-Fire-Alarm-System using a VO 2-Based Metal-Insulator-Transition Device. In2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). IEEE, 1–2.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Ke ChangYun and Ai ChangWen. 2019. Design of Safety System for Kitchen Based on NB-IOT. In2019 3rd International Conference on Robotics andAutomation Sciences (ICRAS). IEEE, 74–78.Google ScholarGoogle Scholar
  3. Satyendra K Vishwakarma, Prashant Upadhyaya, Babita Kumari, and Arun Kumar Mishra. 2019. Smart energy efficient home automation systemusing iot. In2019 4th international conference on internet of things: Smart innovation and usages (IoT-SIU). IEEE, 1–4.Google ScholarGoogle Scholar
  4. Asma Mahgoub, Nourhan Tarrad, Rana Elsherif, Loay Ismail, and Abdulla Al-Ali. 2020. Fire Alarm System for Smart Cities Using Edge Computing.In2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT). IEEE, 597–602.Google ScholarGoogle Scholar
  5. Ahmed Imteaj, Tanveer Rahman, Muhammad Kamrul Hossain, Mohammed Shamsul Alam, and Saad Ahmad Rahat. 2017. An IoT based fire alarmingand authentication system for workhouse using Raspberry Pi 3. In2017 International conference on electrical, computer and communication engineering(ECCE). IEEE, 899–904.Google ScholarGoogle Scholar
  6. Haichen Hu and Yinghao Li. 2020. Remote status monitoring based on ESP8266 connected IoT cloud platform. InIOP Conference Series: Earth andEnvironmental Science, Vol. 461. IOP Publishing, 012022.Google ScholarGoogle ScholarCross RefCross Ref
  7. Annisa Sarah, Theresia Ghozali, Geraldo Giano, Melisa Mulyadi, Sandra Octaviani, and Alfin Hikmaturokhman. 2020. Learning IoT: Basic Experimentsof Home Automation using ESP8266, Arduino and XBee. In2020 IEEE International Conference on Smart Internet of Things (SmartIoT). IEEE, 290–294.Google ScholarGoogle Scholar
  8. B Prabha. 2019. An IoT Based Efficient Fire Supervision Monitoring and Alerting System. In2019 Third International conference on I-SMAC (IoT inSocial, Mobile, Analytics and Cloud)(I-SMAC). IEEE, 414–419.Google ScholarGoogle Scholar
  9. FO Ovalles, AE Bolivar, and AJ Rodriguez. 2018. Use of an embedded system with wifi technology for domotic control of conventional environments.InJournal of Physics: Conference Series, Vol. 1126. IOP Publishing, 012070.Google ScholarGoogle Scholar
  10. Gianluca Barbon, Michael Margolis, Filippo Palumbo, Franco Raimondi, and Nick Weldin. 2016. Taking Arduino to the Internet of Things: The ASIPprogramming model.Computer Communications89 (2016), 128–140.Google ScholarGoogle Scholar
  11. Sahithi Tummalapalli and Venkata Rao Machavarapu. 2016. Managing mysql cluster data using cloudera impala.Procedia Computer Science85(2016), 463–474.Google ScholarGoogle Scholar
  12. Barnana Baruah and Subhasish Dhal. 2018. A two-factor authentication scheme against FDM attack in IFTTT based Smart Home System.Computers& Security77 (2018), 21–35.Google ScholarGoogle Scholar

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  • Published in

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    RSAE '21: Proceedings of the 2021 3rd International Conference on Robotics Systems and Automation Engineering
    May 2021
    76 pages
    ISBN:9781450388467
    DOI:10.1145/3475851

    Copyright © 2021 ACM

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    • Published: 15 October 2021

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