根据黑翼风算法,减少供水管道泄漏信号的噪音
Zhu Jiang1,2, Jiale Li1, Haiyan Ning1
1School of Energy and Power Engineering, Xihua University, Chengdu 610039, China.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
使用黑翼风算法 (BWK) 的新方法优化了管道监控的变化模式分解 (VMD). 这种方法显著改善了信号消噪,减少了泄漏检测系统中的错误报警.
科学领域:
- 工程 工程师 工程师 工程师
- 信号处理 信号处理
- 人工智能的人工智能
背景情况:
- 管道监控系统经常因压力波信号中的噪音而遭受错误报警和错过检测.
- 传感器收集的负压波信号特别容易受到显著的噪音干扰.
- 现有的无声化方法可能无法充分解决这些关键信号中噪声的复杂性.
研究的目的:
- 为管道监控提出一种新且有效的信号消噪方法.
- 通过减少压力信号中的噪声来提高泄漏检测的准确性.
- 通过尽量减少错误报警和错过检测,提高管道监控系统的可靠性.
主要方法:
- 使用黑翼风算法 (BWK) 优化变化模式分解 (VMD) 参数.
- 基于样本分析的有效模式组件的选.
- 波段值 (WT) 的应用,以减少二次噪声.
- 信号重建以实现最终的无声输出.
主要成果:
- 拟议的BWK-VMD-WT方法与传统的WT和经验模式分解 (EMD) 相比,显示出优异的降噪.
- 实现了最高的信号噪声比 (SNR) 14.2280 dB,超过了WT (12.6458 dB) 和EMD (5.5292 dB).
- 在模拟管道泄漏平台上的实验验证证证了该方法在现实场景中的有效性.
结论:
- 开发的方法提供了一个高精度和适应性解决方案,用于在管道监控中消除压力信号.
- 这种技术显著提高了城市供水系统中泄漏检测的准确性和可靠性.
- 该方法对于提高管道基础设施的安全性和效率具有相当大的工程应用价值.
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