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The increasing attention to environmental risks, particularly wildfires, impacting our planet annually underscores the urgent need for effective mitigation and extinguishing strategies. Over time, various solutions have been proposed, yet none have fully resolved the issue. In response, we propose an innovative approach leveraging electronic noses, LoRa network, neural networks, and cloud computing within a cutting-edge Social Internet of Things (SIoT) platform called Lysis. This method aims to significantly reduce response times for fire containment and suppression efforts.

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A Prototype for Fire Detection Based on Social Internet of Things

  • 会议论文

  • 发表日期：

    2025年

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  • Francesco Carta,
  • Daniele Loru,
  • Martina Putzu,
  • Mariella Sole,
  • Angelo Ledda,
  • Andrea G. Piras,
  • Alessio Chirigu,
  • Daniele Giusto,
  • Matteo Anedda

摘要

The increasing attention to environmental risks, particularly wildfires, impacting our planet annually underscores the urgent need for effective mitigation and extinguishing strategies. Over time, various solutions have been proposed, yet none have fully resolved the issue. In response, we propose an innovative approach leveraging electronic noses, LoRa network, neural networks, and cloud computing within a cutting-edge Social Internet of Things (SIoT) platform called Lysis. This method aims to significantly reduce response times for fire containment and suppression efforts.