基于多元信号衰减模型的燃气管网泄漏点精确定位方法

A precise leakage location method for gas pipeline networks based on a multi-source signal attenuation model

  • 摘要: 针对现有燃气管网泄漏定位技术精度低、工况适应性差、微小泄漏识别能力不足的问题,提出一种基于多元信号衰减模型的燃气管网泄漏点精确定位方法。该方法通过三角覆盖原则布置监测节点,同步采集压力波、声波与光纤振动信号并进行针对性去噪;构建关联燃气黏度、密度、管径及声波主频的单一信号衰减子模型,结合信息熵动态权重融合为统一衰减模型;采用梯度下降法求解泄漏点坐标,通过闭环验证机制优化衰减系数。实验验证表明,该方法定位误差≤ 5 m,可识别 < 0. 1 m3/h的微小泄漏,适配中、低、高压管网及天然气、液化气等多类型燃气,在信噪比(Signal-to-Noise Ratio,SNR)为10 dB强干扰环境下仍保持高稳定性,运维成本较现有技术降低20%以上。该方法为燃气管网日常运维与应急处置提供了可靠技术支撑。

     

    Abstract: To overcome the limitations of existing gas pipeline leakage location technologies-such as low accuracy, poor adaptability to operating conditions, and insufficient capability to detect micro-leakages-this study proposes a precise leakage location method based on a multi-source signal attenuation model. In this method, monitoring nodes are arranged using the triangular coverage principle to synchronously collect pressure wave, acoustic wave, and optical fiber vibration signals, followed by targeted denoising. Separate signal attenuation sub-models, incorporating factors like gas viscosity, density, pipe diameter, and main acoustic frequency, are fused into a unified attenuation model using dynamic weights determined by information entropy. The gradient descent algorithm calculates the leakage point coordinates, while attenuation coefficients are optimized through a closed-loop verification mechanism. Experimental results indicate that the method limits the location error to under 5 m and detects micro-leakages below 0.1 m3/h. It applies to medium-, low-, and high-pressure pipelines transporting gases such as natural gas and LPG, maintaining high stability even under intense interference with a 10 dB signal-to-noise ratio(SNR). Operation and maintenance costs are reduced by over 20% compared to existing technologies. This method offers reliable technical support for daily operation and emergency response in gas pipeline networks.

     

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