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Authors: Thadeu Brito 1 ; Ana Pereira 2 ; José Lima 3 ; João Castro 4 and António Valente 5

Affiliations: 1 Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Bragança, Portugal ; 2 Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Bragança, Portugal, Algoritmi Research Centre, University of Minho, Campus de Gualtar, Braga, Portugal ; 3 Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Bragança, Portugal, INESC TEC - INESC Technology and Science, Porto, Portugal ; 4 CIMO - Centro de Investigaç ão da Montanha, Instituto Politécnico de Bragança, Bragança, Portugal ; 5 INESC TEC - INESC Technology and Science, Porto, Portugal, Engineering Department, School of Sciences and Technology, UTAD, Vila Real, Portugal

ISBN: 978-989-758-396-4

ISSN: 2184-4372

Keyword(s): Wildfires, Regional Climate, Forest Fire Ignition, Ignition Detection.

Abstract: Forests have been harassed by fire in recent years. Whether by human action or for other reasons, the burned area has increased harming fauna and flora. It is fundamental to detect an ignition early in order to firefighters fight the fire minimizing the fire impacts. The proposed Forest Monitoring System aims to improve the nature monitoring and to enhance the existing surveillance systems. A set of innovative operations is proposed that will allow to identify a forest ignition and also will monitor the fauna. For that, a set of sensors are being developed and placed in the forest to transmit data and identify forest fire ignition. This paper addresses a methodology that identifies the optimal positions to place the developed sensors in order to minimize the fire hazard. Some preliminary results are shown by a stochastic algorithm that spread points to position the sensor modules in areas with a high risk of fire hazard.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Brito, T.; Pereira, A.; Lima, J.; Castro, J. and Valente, A. (2020). Optimal Sensors Positioning to Detect Forest Fire Ignitions. In Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - ND2A, ISBN 978-989-758-396-4; ISSN 2184-4372, pages 411-418. DOI: 10.5220/0009386404110418

@conference{nd2a20,
author={Thadeu Brito. and Ana Pereira. and José Lima. and João Castro. and António Valente.},
title={Optimal Sensors Positioning to Detect Forest Fire Ignitions},
booktitle={Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - ND2A,},
year={2020},
pages={411-418},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009386404110418},
isbn={978-989-758-396-4},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - ND2A,
TI - Optimal Sensors Positioning to Detect Forest Fire Ignitions
SN - 978-989-758-396-4
IS - 2184-4372
AU - Brito, T.
AU - Pereira, A.
AU - Lima, J.
AU - Castro, J.
AU - Valente, A.
PY - 2020
SP - 411
EP - 418
DO - 10.5220/0009386404110418

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