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Environment Monitoring Modules with Fire Detection Capability Based on IoT Methodology

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Science and Technologies for Smart Cities (SmartCity360° 2020)

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Abstract

Worldwide, forests have been devastated by fires in recent years. Whe- ther by human intervention or for other reasons, the history of burned areas is increasing year after year, degrading fauna and flora. For this reason, it is vital to detect an early ignition so that firefighters can act quickly, reducing the impacts caused by forest fires. The proposed system aims to improve the nature monitoring and to assist the existing surveillance systems through Wireless Sensor Network. The network formed by the set of sensors has the potential to identify forest ignitions and, consequently, alerts the authorities through LoRaWAN communication. This work presents a prototype based on low-cost technology, which can be used in areas that require a high density of modules. Tests with a Wireless Sensor Network made up of nine prototypes demonstrate its effectiveness and robustness in terms of data transmission and collection. In this way, it is possible to apply this approach in Portuguese forests with a high level of forest fire risk, transforming them into Forests 4.0 concept.

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Acknowledgements

This work has been supported by Fundação La Caixa and FCT—Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/5757/2020.

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Authors and Affiliations

  1. Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253, Bragança, Portugal

    Thadeu Brito, Beatriz Flamia Azevedo, Ana I. Pereira & José Lima

  2. Faculty of Engineering of University of Porto, Porto, Portugal

    Thadeu Brito & Paulo Costa

  3. Engineering Department, School of Sciences and Technology, UTAD, Vila Real, Portugal

    Antonio Valente

  4. INESC TEC - INESC Technology and Science, Porto, Portugal

    Antonio Valente, José Lima & Paulo Costa

  5. Algoritmi Research Centre, University of Minho, Campus de Gualtar, Braga, Portugal

    Ana I. Pereira

Authors
  1. Thadeu Brito
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  2. Beatriz Flamia Azevedo
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  3. Antonio Valente
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  4. Ana I. Pereira
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  5. José Lima
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  6. Paulo Costa
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Corresponding author

Correspondence to Thadeu Brito .

Editor information

Editors and Affiliations

  1. School of Technology and Management, Escola Superior de Tecnologia e Gestão, VIANA DO CASTELO, Portugal

    Sara Paiva

  2. Polytechnic Institute of Viana do Castel, Viana do Castelo, Portugal

    Sérgio Ivan Lopes

  3. SIC Laboratory, INSEEC U, ECE Paris Graduate School of Engineering, PARIS, France

    Rafik Zitouni

  4. Vaagdevi College of Engineering, Telangana, India

    Nishu Gupta

  5. University of Minho, Guimarães, Portugal

    Sérgio F. Lopes

  6. Nagoya University, Nagoya, Japan

    Takuro Yonezawa

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Brito, T., Azevedo, B.F., Valente, A., Pereira, A.I., Lima, J., Costa, P. (2021). Environment Monitoring Modules with Fire Detection Capability Based on IoT Methodology. In: Paiva, S., Lopes, S.I., Zitouni, R., Gupta, N., Lopes, S.F., Yonezawa, T. (eds) Science and Technologies for Smart Cities. SmartCity360° 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-030-76063-2_16

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  • DOI: https://doi.org/10.1007/978-3-030-76063-2_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-76062-5

  • Online ISBN: 978-3-030-76063-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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