基于双传感器数据融合的水管泄漏检测方法.
Meijia He1, Juan Li1, Yiqian Liu1
1College of Communication Engineering, Jilin University, Changchun, China.
Water research
|October 2, 2025
概括
这项研究引入了一种改进的双传感器格拉米安角场 (IBGAF) 和双通道多尺度特征融合网络 (DMFFN),用于可靠的水管泄漏检测. 这种新方法通过融合互补的传感器数据来提高准确性,大大改善了管道运行状况评估.
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:
- 在供水管道泄漏检测中,单个传感器数据对管道状况的洞察力有限,导致高错误检测率.
- 管道运行状况的全面评估对于准确的泄漏程度确定至关重要.
研究的目的:
- 提出一种新的泄漏检测方法,利用来自两个传感器的互补信息来提高检测可靠性.
- 为了提高准确性和减少误报在识别供水管道泄漏.
主要方法:
- 开发了一种改进的双传感器格拉米安角场 (IBGAF),将两种传感器数据类型映射到球形坐标中,将信号信息编码到RGB频道中.
- 引入了一种双通道多尺度特征融合网络 (DMFFN),具有多尺度卷积架构和注意力机制,以有效地融合互补信号.
- 在DMFFN中实施了2D卷积并行特征融合机制,用于多尺度信息的自适应融合,减少网络复杂性.
主要成果:
- 拟议的IBGAF和DMFFN方法与单一类信号检测方法相比,显著提高了检测准确性.
- 实验结果证实了该方法的性能优于其他检测技术.
- 该方法准确地识别了四种不同的管道泄漏条件.
结论:
- IBGAF和DMFFN的整合为供水管道泄漏检测提供了一个强大的解决方案.
- 该方法有效地利用互补的传感器数据,从而提高了泄漏识别的可靠性和准确性.
- 这种方法代表了管道监测和维护技术的重大进步.
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