Nati Marius, Despina-Stoian Cristina, Nastasiu Dragos, Stanescu Denis, Digulescu Angela, Ioana Cornel, Nanchen Vincent
Telecommunications Technology Department, Military Technical Academy "Ferdinand I", 050141 Bucharest, Romania.
Altrans Energies,38031 Grenoble, France.
Sensors (Basel). 2024 Aug 11;24(16):5182. doi: 10.3390/s24165182.
In modern industries, pipelines play a crucial role, both as an essential element in energy transportation (water, gas and electricity) and also in the distribution of these resources. The large size of piping infrastructures, their age and unpredictable external factors are the main difficulties in monitoring the piping system. In this context, the detection and the localization of leaks are challenging but essential, as leaks lead to substantial economic losses. Current methods have many limitations, involving invasive procedures, working only with short pipes or requiring a system shutdown. This paper presents a non-intrusive method based on acoustic signal processing. Leak detection is performed using matched filters, while localization is performed based on the phase diagram representation method and diagram-based entropy computation. Our continuous monitoring system was used for two months and a full comparison with the video inspection-based technique was conducted. The results indicate that this method has a high accuracy, regardless of the length of the pipe.
在现代工业中，管道起着至关重要的作用，既是能源输送（水、气和电）的关键要素，也是这些资源分配的关键要素。管道基础设施规模庞大、使用年限久且存在不可预测的外部因素，这些都是监测管道系统的主要困难。在此背景下，泄漏检测和定位具有挑战性但至关重要，因为泄漏会导致重大经济损失。当前方法存在诸多局限性，包括侵入性程序、仅适用于短管道或需要系统停机。本文提出一种基于声学信号处理的非侵入性方法。使用匹配滤波器进行泄漏检测，而基于相图表示法和基于图的熵计算进行定位。我们的连续监测系统使用了两个月，并与基于视频检测的技术进行了全面比较。结果表明，无论管道长度如何，该方法都具有很高的准确性。
