Intelligent Pipeline Leak Detection and Analysis System

Huiwen Lin, Hezhi Lin, X. Fang, Mingkang Wang, Lianfeng Huang
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引用次数: 10

Abstract

Urban water supply pipe network leakage accident is a joint problem that exists among the water supply industries all over the world. The leakage in the pipe network not only causes waste of water resources and energy, but also brings water supply security risks to the entire pipe network. Therefore, monitoring the leakage in the water supply system is an important component of water work nowadays. This paper presents an intelligent pipeline leak detection and analysis system. The proposed system collects pipe flow data with an ultrasonic flowmeter. This system uses NB-IoT for data transmission and One-Class-SVM’s outlier detection method for leakage judgment. It also gives a rough position of leakage. Compared with the traditional leakage detection method, the proposed system has many advantages such as simple equipment, convenient operation and access without breaking the original pipe section. Besides, the proposed system provides a friendly web interface and Android App interface, allowing users to observe real-time pipe flow data. It also has an alarm so that users will know whether there has leakage.
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智能管道泄漏检测与分析系统
城市供水管网泄漏事故是世界各地供水行业共同存在的问题。管网渗漏不仅造成水资源和能源的浪费,而且给整个管网带来供水安全隐患。因此,供水系统的泄漏监测是当今供水工作的重要组成部分。介绍了一种智能管道泄漏检测与分析系统。该系统利用超声波流量计采集管道流量数据。该系统采用NB-IoT进行数据传输,采用One-Class-SVM的离群检测方法进行泄漏判断。它也给出了泄漏的大致位置。与传统的泄漏检测方法相比,该系统具有设备简单、操作方便、不破坏原有管段等优点。此外,系统提供了友好的web界面和Android App界面,用户可以实时观察管道流量数据。它还具有报警功能,以便用户知道是否有泄漏。
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