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Research Progress of Event Intelligent Perception Based on DAS.

Di Wu^1,2, Qing-Quan Liang^1,2, Bing-Xuan Hu³

¹School of Computer Electronic and Information, Guangxi University, Nanning 530004, China.

Sensors (Basel, Switzerland)

|August 28, 2025

Summary

This summary is machine-generated.

Intelligent event perception using distributed acoustic sensing (DAS) systems is reviewed, detailing methods and applications. This research offers a systematic reference for advancing DAS technology in smart cities.

Keywords:

deep learning distributed acoustic sensing (DAS)event intelligent perception machine learning

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Area of Science:

Signal Processing
Artificial Intelligence
Sensor Technology

Background:

Distributed Acoustic Sensing (DAS) systems offer a novel approach to environmental monitoring.
Intelligent event perception is crucial for unlocking the full potential of DAS.

Purpose of the Study:

To systematically review intelligent event perception in DAS systems.
To establish a theoretical framework for DAS evaluation.
To explore methodological innovations and applications.

Main Methods:

Review of DAS principles, architectures, and performance metrics.
Analysis of traditional and deep learning approaches for event perception.
Investigation of hybrid architectures and intelligent sensing strategies.

Main Results:

Delineation of methodological innovations in machine learning and deep learning for DAS.
Emphasis on hybrid architectures balancing efficiency and accuracy.
Demonstration of cross-domain adaptability in various applications.

Conclusions:

DAS technology shows transformative potential for smart city development.
Addressing challenges like data scarcity and noise is key for future research.
This review provides a systematic reference for advancing DAS theory and application.