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Investigation of IoT Devices for Fire Alarm Detection Systems Using Raspberry Pi

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Proceedings of the 6th Asia Pacific Conference on Manufacturing Systems and 4th International Manufacturing Engineering Conference (iMEC-APCOMS 2022)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

This study investigated the design of a fire alarm detection system based on the Internet of Things (IoT) and the potency of an alarm system with the IoT in reducing time taken for system to alert the user. The design utilizes a system prototype with wireless access in an open-source physical computing platform based on Raspberry Pi technology using a personal computer that provides the communication and user interface for both the control system and the fire alarm systems. This includes wireless connectivity between sensors and apps for monitoring and control. The sensors using to measure the related parameters that is temperature, presence of gas and humidity of the area. The Raspberry Pi is programmed to turn on the buzzer when the temperature and smoke reach a threshold value. This system equipped with WiFi module built in the Raspberry Pi will send the notification to the user via Blynk apps. The trial findings demonstrated the Raspberry Pi's affordability, effectiveness, and responsiveness in reducing the time it takes for the system to alert the user.

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Acknowledgements

Authors would like to thank Ministry of Higher Education Malaysia and Universiti Malaysia Pahang for funding under grant PDU223204.

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Authors and Affiliations

  1. College of Engineering, Universiti Malaysia Pahang, 26600, Pekan, Pahang, Malaysia

    Nik Nurjihan Nisrina Nik Zaid & Norazlianie Sazali

Authors
  1. Nik Nurjihan Nisrina Nik Zaid
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  2. Norazlianie Sazali
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Corresponding author

Correspondence to Norazlianie Sazali .

Editor information

Editors and Affiliations

  1. Universitas Sebelas Maret, Surakarta, Indonesia

    Cucuk Nur Rosyidi

  2. Universitas Sebelas Maret, Surakarta, Indonesia

    Pringgo Widyo Laksono

  3. Universitas Sebelas Maret, surakarta, Indonesia

    Wakhid Ahmad Jauhari

  4. Universitas Sebelas Maret, Surakarta, Indonesia

    Muhammad Hisjam

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zaid, N.N.N.N., Sazali, N. (2023). Investigation of IoT Devices for Fire Alarm Detection Systems Using Raspberry Pi. In: Rosyidi, C.N., Laksono, P.W., Jauhari, W.A., Hisjam, M. (eds) Proceedings of the 6th Asia Pacific Conference on Manufacturing Systems and 4th International Manufacturing Engineering Conference. iMEC-APCOMS 2022. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-1245-2_12

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  • DOI: https://doi.org/10.1007/978-981-99-1245-2_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1244-5

  • Online ISBN: 978-981-99-1245-2

  • eBook Packages: EngineeringEngineering (R0)

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