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Advanced Open IoT Platform for Prevention and Early Detection of Forest Fires

  • Ivelin Andreev
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 747)

Abstract

The primary goal of the proposed architecture is to develop advanced architecture for early detection of forest fires that integrates sensor networks and mobile (drone) technologies for data collection and processing. Unmanned air vehicles (UAVs) will allow coverage of larger areas to raise the percentage of forest fires detections, monitor areas with high fire weather index and such already affected by forest fires. All information is forwarded and stored in cloud computing platform where near real-time processing and alerting is performed.

Keywords

Open platform Edge gateway Cognitive computing Forest fire 

Notes

Acknowledgements

A major part of the research work is performed in the scope of Horizon 2020 project Advanced Systems for Prevention and Early Detection of Forest Fires (ASPires), funded by European Civil Protection and Humanitarian Aid Operations 2016/PREV/03 (ASPIRES).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Interconsult Bulgaria Ltd.SofiaBulgaria

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