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Microwave-based system for non-destructive monitoring water pipe networks using support vector machine

机译：支持向量机的微波无损监测水管网系统

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摘要

Water is the most valuable natural resource. To preserve this good, several water monitoring systems for pipe networks have been proposed. However, there is a lack of research on the development of high-frequency electromagnetic sensors for this task. This study proposes a non-destructive technique to locate carrying water polyvinyl chloride pipes using a microstrip patch antenna. An experimental apparatus was mounted and the resonant frequency and Q factor of the antenna were measured for different relative positions between the sensor and the pipe filled with water. To detect the pipe position, experimental data were trained and tested by applying an approach based on support vector machines. The best results were from using a simple linear kernel, which allowed 100% accuracy using a 30% fraction of data used for holdout validation.
机译：水是最宝贵的自然资源。为了保持这种良好状态，已经提出了几种用于管网的水监控系统。但是，对于用于该任务的高频电磁传感器的开发缺乏研究。这项研究提出了一种使用微带贴片天线来定位载水聚氯乙烯管道的非破坏性技术。安装了一个实验设备，并针对传感器和充满水的管道之间的不同相对位置，测量了天线的谐振频率和Q因子。为了检测管道位置，通过应用基于支持向量机的方法来训练和测试实验数据。最好的结果来自使用简单的线性核，使用30％的保留验证数据可实现100％的准确性。

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