负压波方法的遗传算法优化,用于长途管道中可靠的实时泄漏检测
Ali Sharifi1, Seyyed Faramarz Ranjbar2, Seyed Amirreza Mousavi Alamdardehi3
1Faculty of Mechanical Engineering, University of Tabriz, Tabriz, Iran. dr.alisharifi1@proton.me.
Scientific reports
|October 17, 2025
概括
一种新的基因算法 (GA) 方法通过优化负压波 (NPW) 参数来显著改善管道泄漏检测. 这种方法提高了关键基础设施安全的准确性和速度.
科学领域:
- 管道工程 管道工程 管道工程
- 信号处理 信号处理
- 优化算法 优化算法
背景情况:
- 在长途管道中精确的泄漏检测对于环境和经济安全至关重要.
- 传统的负压波 (NPW) 方法由于波速错误,传感器噪声和流量变化而面临限制.
研究的目的:
- 开发和验证一种混合方法,将遗传算法 (GA) 与NPW技术相结合,用于增强管道泄漏检测.
- 为了提高原油输送管道中泄漏局部化的准确性和速度.
主要方法:
- 使用基因算法 (GA) 来动态优化NPW参数 (波速,流体速度,泄漏位置),使用实时传感器数据.
- 拟议的GA-NPW方法是使用在175公里长的原油管道上进行十次现场泄漏测试的数据进行测试的.
主要成果:
- 用GA增强的NPW方法将平均泄漏定位误差从11% (NPW) 和18% (HGI) 降低到5%.
- 泄漏检测时间从30-40秒缩短到大约10秒.
- 该系统展示了在关键基础设施中实时泄漏检测的稳定性和可扩展性.
结论:
- GA-NPW框架为长途管道的实时泄漏检测提供了一个实用且可扩展的解决方案.
- 优化的方法在准确性和检测速度方面明显优于传统技术.
- 与SCADA平台的无集成使管道运营商能够进行自动警报和快速决策.
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