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Termite Detection Techniques in Embankment Maintenance: Methods and Trends
Xiaoke Li1, Xiaofei Zhang1, Shengwen Dong2
1Henan Key Lab of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light Industry, Zhengzhou 450002, China.
Sensors (Basel, Switzerland)
|July 30, 2025
Summary
This review evaluates termite detection methods for embankment maintenance. Integrated multi-sensor systems and AI show promise for enhanced accuracy and automation in preventing structural damage.
Area of Science:
- Geotechnical Engineering
- Environmental Science
- Pest Management
Background:
- Termites threaten embankment structural integrity through nesting and tunneling, causing voids and potential failure.
- Effective termite detection is crucial for proactive embankment maintenance and risk mitigation.
Purpose of the Study:
- To systematically classify and evaluate current termite detection techniques for embankments.
- To identify emerging solutions for improved detection accuracy and automation.
Main Methods:
- Review and analysis of physical sensing technologies (e.g., GPR, acoustic detection, electrical resistivity imaging).
- Evaluation of biological characteristic-based methods (e.g., electronic noses, sniffer dogs, UAV imaging).
- Assessment of integrated multi-sensor frameworks and artificial intelligence algorithms.
Main Results:
- Physical sensing offers non-invasive subsurface anomaly localization.
- Biological methods detect volatile compounds and surface activity.
- Integrated systems and AI enhance detection accuracy, adaptability, and automation.
Conclusions:
- Future termite detection relies on interdisciplinary integration and intelligent monitoring.
- Advanced systems support early warning, rapid response, and long-term structural resilience.
- This work provides a foundation for improved termite management and embankment safety.
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