基于声学传感器的管道泄漏的恒定错误报警率检测
Guorui An1, Zuheng Huang1, Yanbing Li2
1School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Scientific reports
|August 29, 2023
概括
本研究引入了一种改进的恒定虚假报警率 (CFAR) 检测算法,用于使用声信号自动实时检测管道泄漏. 该方法有效地识别高精度和低错误报警率的泄漏,提高管道安全.
科学领域:
- 工程 工程师 工程师 工程师
- 信号处理 信号处理
- 石油工程是石油工程中的一个.
背景情况:
- 管道泄漏在石油和天然气运输过程中构成重大风险.
- 手动检测方法不方便,不足以实时监控.
- 声信号分析为检测管道完整性问题提供了一个有希望的途径.
研究的目的:
- 开发一个自动和实时的管道泄漏检测算法.
- 适应雷达目标探测理论,特别是恒定错误报警率 (CFAR) 技术,用于声管道监控.
- 提高检测准确度,减少管道泄漏事件中的错误报警.
主要方法:
- 声信号的预处理以消除噪音并增强相关特征.
- 实施了改进的恒定虚假报警率 (CFAR) 检测算法.
- 适应性值设置用于自动检测泄漏事件.
- 使用真实管道上的模拟泄漏试验进行验证,不同的泄漏孔直径为5毫米,7毫米,10毫米).
主要成果:
- 拟议的方法实现了高检测准确率:84.6% (5毫米),97.7% (7毫米) 和98% (10毫米).
- 在不同的泄漏大小中,总体检测准确度达到94.1%.
- 错误报警率特别低:3.3% (5毫米),0.7% (7毫米) 和0% (10毫米),总比率为1.2%.
结论:
- 改进的基于CFAR的算法在自动管道泄漏检测方面表现出显著的有效性.
- 该方法提供可靠的实时监控功能,对于防止管道故障造成严重后果至关重要.
- 实验验证证证实了算法的稳定性和在现实场景中的适用性.
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