Wang Yu, Chen Haoyang, Yang Yang, Zhou Haoyu, Zhang Guangmin, Ren Bin, Yuan Yufei
The International School of Microelectronics, Dongguan University of Technology, Dongguan 523808, China.
State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 611731, China.
Sensors (Basel). 2025 Mar 12;25(6):1753. doi: 10.3390/s25061753.
Gas pipeline leakage will result in casualties and property losses if not detected in time. Conventional leakage localization methods usually rely on dense grid distribution, leading to high computational costs. This study proposes a time-reversal-based adaptive grid generation approach to enhance computational efficiency in pipeline leakage localization. The method introduces a resolution adjustment parameter to optimize captured signals, allowing for adaptive grid concentration in leakage areas based on energy distribution. Based on this principle, three steps-including signal adjustment computation, adaptive grid generation computation, and conventional TR localization computation based on the adaptive grids-are introduced. Then, an experimental study is conducted on a 55.8 m PVC pipeline with piezoceramic transducers, capturing negative pressure wave signals from four leakage points. The results demonstrate that the proposed approach maintains comparable localization accuracy while reducing the number of grids and localization time to only 0.6% and 2.4% of those required by conventional uniform grid methods, respectively. The findings demonstrate that the proposed method offers a computationally efficient and accurate solution for real-time pipeline leakage monitoring.
燃气管道泄漏若不及时检测，将导致人员伤亡和财产损失。传统的泄漏定位方法通常依赖于密集网格分布，导致计算成本高昂。本研究提出一种基于时间反转的自适应网格生成方法，以提高管道泄漏定位的计算效率。该方法引入分辨率调整参数来优化捕获信号，从而能够基于能量分布在泄漏区域进行自适应网格聚集。基于这一原理，介绍了三个步骤——信号调整计算、自适应网格生成计算以及基于自适应网格的传统时间反转定位计算。然后，在一条55.8米长的聚氯乙烯管道上使用压电陶瓷传感器进行了实验研究，捕获了来自四个泄漏点的负压波信号。结果表明，所提出的方法在保持相当定位精度的同时，将网格数量和定位时间分别减少至传统均匀网格方法所需的0.6%和2.4%。研究结果表明，所提出的方法为实时管道泄漏监测提供了一种计算高效且准确的解决方案。
