|本期目录/Table of Contents|

[1]吴正虎.一种地下给水管网泄漏位置识别的声发射检测仪的设计[J].工业仪表与自动化装置,2023,(04):71-76.[doi:10.19950/j.cnki.cn61-1121/th.2023.04.013]
　WU Zhenghu.Identification of leakage location of underground water supply network based on acoustic emission instrument[J].Industrial Instrumentation & Automation,2023,(04):71-76.[doi:10.19950/j.cnki.cn61-1121/th.2023.04.013]
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一种地下给水管网泄漏位置识别的声发射检测仪的设计

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2023年04期
页码:
71-76
栏目:
出版日期:
2023-08-15

文章信息/Info

Title:
Identification of leakage location of underground water supply network based on acoustic emission instrument
文章编号:
1000-0682（2023）03-0071-06
作者:
吴正虎
西宁市湟中区水利局，青海 西宁 811600
Author(s):
WU Zhenghu
Xi’ning Huangzhong District Water Conservancy Bureau ,Qinghai Xi’ning 811600
关键词:
地下给水管网; 泄漏位置识别; 噪声滤除; 声波信号采集; 时延估计
Keywords:
Underground water supply network;  Identification of leakage location;  Noise filtering;  Acoustic signal acquisition;  Time delay estimation
分类号:
TP273
DOI:
10.19950/j.cnki.cn61-1121/th.2023.04.013
文献标志码:
A
摘要:
快速准确地识别地下给水网泄漏位置，尤其是小孔径泄漏位置，是保障地下给水管网安全稳定运行的有效方式，该文基于声音采集和处理原理，设计了一种适用于地下给水管网泄漏位置识别的声发射检测仪器。该仪器基于STM32基于STM32的声波信号采集技术采集地下给水管道声波信号，并应用小波阈值法对所获声波信号实施合理噪声滤除，噪声滤除工作完成后，采用傅里叶变换的方式提取地下给水管道声波信号频域特征，并根据所获声波信号功率谱密度检测地下给水管网泄漏管道，最终利用时延估计法经过合理计算得到泄漏管道漏点具体位置，完成地下给水管网泄漏位置识别工作。实验结果表明：该声发射检测仪器可实现地下给水管网泄漏位置识别，具有较强的声波信号噪声滤除能力，能够较为准确地识别出地下给水管网泄漏位置。
Abstract:
Quickly and accurately identifying the leakage location of underground water supply networks, especially the small aperture leakage location, is an effective way to ensure the safe and stable operation of underground water supply networks. Based on the principles of sound acquisition and processing, this article designs an acoustic emission detection instrument suitable for identifying the leakage location of underground water supply networks. The instrument collects the acoustic signal of underground water supply pipeline based on STM32 and STM32 acoustic signal acquisition technology, and applies wavelet threshold method to implement reasonable noise filtering for the acquired acoustic signal. After the noise filtering is completed, the Fourier transform method is used to extract the frequency domain characteristics of the acoustic signal of underground water supply pipeline, and the leakage pipeline of underground water supply pipeline network is detected according to the power spectral density of the acquired acoustic signal, Finally, using the time delay estimation method, the specific location of the leakage point of the leaking pipeline was calculated reasonably, and the identification of the leakage location of the underground water supply network was completed. The experimental results show that the acoustic emission detection instrument can achieve the identification of leakage locations in underground water supply networks, with strong acoustic signal noise filtering ability, and can accurately identify the leakage locations of underground water supply networks.

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备注/Memo

备注/Memo:
收稿日期：2023-04-06

第一作者：
吴正虎（1974—），男，汉族，青海西宁人，高级职称，本科学历，主要研究方向为农村供水、农田节水灌溉、河沟道治理。
更新日期/Last Update: 1900-01-01