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An integrated wireless deep-UV sensing system for intelligent early fire detection.

Taehyun Park1, Junhwa Oh2, Junhyung Cho3

  • 1Department of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea.

Science Advances
|May 27, 2026
PubMed
Summary

A new wireless deep-ultraviolet (DUV) sensing platform offers rapid fire detection. This flexible sensor provides reliable, energy-efficient monitoring for early-stage wildfire and industrial safety applications.

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Area of Science:

  • Materials Science
  • Sensor Technology
  • Environmental Monitoring

Background:

  • Uncontrolled fires pose significant global threats, causing ecological damage, loss of life, and economic disruption.
  • Current fire detection methods are inadequate for large-scale scenarios like wildfires and industrial fires, lacking rapid detection and reliability.
  • Effective systems need accurate, stable, and low-power detection for continuous remote deployment.

Purpose of the Study:

  • To develop a wireless and flexible deep-ultraviolet (DUV) sensing platform for rapid and reliable early-stage fire detection.
  • To address the limitations of conventional fire detection systems in harsh environments and remote locations.
  • To enhance fire monitoring capabilities beyond simple detection by classifying flame types and estimating distance.

Main Methods:

  • Integration of a zinc tin oxide nanocomposite photodetector with flexible circuitries, portable power, and Bluetooth communication.
  • Development of a sensor exhibiting selective solar-blind DUV response and stable performance under mechanical stress and extended cycling.
  • Application of data-driven analysis and machine learning models to response curves for flame classification and distance estimation.

Main Results:

  • The DUV sensing platform demonstrated selective solar-blind detection capabilities.
  • The sensor maintained high performance stability, with 92.5% retention after 100 bending cycles and 96.7% after 180 days.
  • Machine learning models successfully classified flame types and estimated relative flame distance, enhancing detection capabilities.

Conclusions:

  • The developed wireless and flexible DUV sensing platform offers a practical solution for reliable early-stage fire monitoring.
  • The system's energy efficiency and stability make it suitable for autonomous deployment in remote and harsh environments.
  • This integrated approach provides advanced fire monitoring, crucial for wildfire and industrial safety applications.