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Related Experiment Video

Updated: May 10, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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An Adaptive Grid Generation Approach to Pipeline Leakage Rapid Localization Based on Time Reversal.

Yu Wang1, Haoyang Chen1, Yang Yang1

  • 1The International School of Microelectronics, Dongguan University of Technology, Dongguan 523808, China.

Sensors (Basel, Switzerland)
|April 28, 2025
PubMed
Summary

A new time-reversal method improves gas pipeline leak localization by using adaptive grids. This approach significantly reduces computational costs and localization time while maintaining accuracy for efficient monitoring.

Keywords:
adaptive grid generationnegative pressure wavepipeline leakagetime reversal

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Area of Science:

  • Engineering
  • Signal Processing
  • Geophysics

Background:

  • Timely detection of gas pipeline leakage is critical to prevent casualties and property damage.
  • Conventional localization methods often incur high computational costs due to dense grid requirements.

Purpose of the Study:

  • To propose a computationally efficient time-reversal-based adaptive grid generation approach for pipeline leakage localization.
  • To enhance the efficiency of pipeline leakage monitoring systems.

Main Methods:

  • Introduced a resolution adjustment parameter for signal optimization.
  • Developed an adaptive grid generation method concentrating on leakage areas based on energy distribution.
  • Implemented a three-step process: signal adjustment, adaptive grid generation, and time-reversal localization.

Main Results:

  • Experimental validation on a 55.8 m PVC pipeline with piezoceramic transducers.
  • Achieved comparable localization accuracy to conventional methods.
  • Reduced grid count to 0.6% and localization time to 2.4% of conventional uniform grid methods.

Conclusions:

  • The proposed adaptive grid method offers a significant improvement in computational efficiency for pipeline leakage localization.
  • This approach provides an accurate and efficient solution for real-time pipeline monitoring and leak detection.