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Wildfire Early Warning System Based on a Smart CO2 Sensors Network.

Alessio De Rango1, Luca Furnari1, Fabio Cortale1

  • 1Department of Environmental Engineering, University of Calabria, Rende, 87036 Cosenza, Italy.

Sensors (Basel, Switzerland)
|April 12, 2025
PubMed
Summary
This summary is machine-generated.

A new smart carbon dioxide (CO2) sensor network with Artificial Intelligence (AI) models significantly improves wildfire early detection. The AI-powered system activates more sensors faster than traditional methods, aiding firefighting efforts.

Keywords:
AutoEncodersCO2 sensorsLSTMearly warning systemwildfire detectionwireless sensors network

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Area of Science:

  • Environmental Science
  • Computer Science
  • Risk Management

Background:

  • Climate change intensifies wildfire risks, particularly in drought-prone regions like the Mediterranean.
  • Effective wildfire management necessitates advanced strategies and technological integration.
  • Early detection is critical for mitigating wildfire damage and supporting response operations.

Purpose of the Study:

  • To propose and evaluate a smart carbon dioxide (CO2) sensor network for wildfire early warning.
  • To develop and compare Artificial Intelligence (AI) models for enhanced fire detection using CO2 data.
  • To assess the system's effectiveness in real-world conditions and its support for firefighting.

Main Methods:

  • Deployment of a CO2 sensor network connected via a cloud platform for data management.
  • Development of three AI models: Autoencoders (AEs) and Long-Short-Term Memory (LSTM).
  • Comparison of AI models against a non-AI threshold-based model in a controlled wildfire experiment with 44 sensors.

Main Results:

  • AI models, particularly LSTM, extracted more valuable information from CO2 data compared to the non-AI model.
  • The AI system activated up to 56% more sensors in less time.
  • The system successfully tracked potential fire front propagation influenced by wind patterns.

Conclusions:

  • The proposed smart CO2 sensor network with AI significantly enhances early wildfire detection capabilities.
  • AI models improve the analysis of sensor data, leading to faster and more comprehensive alerts.
  • This technology offers a valuable tool for improving wildfire risk management and supporting firefighting operations.