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基于EEMD滤波的燃气管网泄漏点次声波定位方法

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在发生泄漏后,由于燃气管网信号微弱,经常会淹没在嘈杂的环境内,无法准确定位.为了提高定位精度,基于集合经验模态分析(EEMD)滤波设计燃气管网泄漏点次声波定位方法.计算所有分量的距离,获取泄漏点次声波信号的采样过零率,对其进行傅里叶的分帧转换,将时间序列分解为若干个分量,基于EEMD去噪方法提取燃气管网泄漏点数据特征.基于处理后的数据定位燃气管网泄漏点,设置此时信号频率的限制条件,根据不同的燃气管网材料建立泄漏点次声波定位误差最小化模型,设计次声波定位算法,得到燃气管网泄漏点次声波定位结果.由实验数据可知,在钢管、PE管、PVC管3种管道材质下,燃气管网泄漏点次声波定位误差的减小值分别为10%、8%、7%,可见该定位方法能够得到较好的定位结果.
An Infrasound Wave Location Method for Leakage Point of Gas Pipe Network Based on EEMD Filtering
If the gas pipe network leaks,due to weak signal,it is often submerged in noisy environment and unable to locat ac-curately.In order to improve the location accuracy,an infrasound wave location method of gas pipe network leakage point is de-signed based on ensemble empirical mode decomposition(EEMD)filtering.The distance of all components is calculated to ob-tain the sampling zero crossing rate of the infrasound wave signal at the leakage point,and transform it into Fourier frames to decompose the time series into several components.The features of the leakage point data of the gas pipe network are extracted based on the EEMD denoising method.Based on the processed data,the leakage point of the gas pipe network can be located,the limiting conditions of the signal frequency can be set at this time,the infrasound location wave error minimization model of the leakage point is established according to different gas pipe network materials.This paper designs the infrasonic wave algo-rithm,and obtains the infrasound location results of the leakage point of the gas pipe network.From the experimental data,under the three materials of steel pipe,PE pipe and PVC pipe,the reduction values of infrasound wave location error of gas pipe network leakage point are 10%,8%and 7%,respectively,which shows that this location method can obtain better loca-tion results.

gas pipe networkgas leakage pointEEMD filterinfrasound wave location technologydata feature extraction

郑泽明、曾繁科

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广州市城市管理质量监测与应急保障中心(广州市燃气事务中心),广东,广州 510507

燃气管网 燃气泄漏点 EEMD滤波器 次声波定位技术 数据特征提取

2024

微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
年,卷(期):2024.40(12)