Development and characterization of log periodic feedline based filter for water leakage detection in size invariant PVC pipes

IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Flow Measurement and Instrumentation Pub Date : 2024-06-24 DOI:10.1016/j.flowmeasinst.2024.102647
Amartya Paul, Gaurav Bhargava, Shubhankar Majumdar
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Abstract

In this proposed work, water leakage detection in Polyvinyl chloride (PVC) pipes has been investigated using a ring filter connected to log-periodic feedlines (LPF). The proposed filter has a well-structured ring design to adjust the PVC pipes and operates between 0.3 GHz & 0.7 GHz. Using a signal generator & analyzer, attenuation measurements are obtained to analyze the impact of water leakage. PVC pipes with varying diameters (3 inches, 2 inches, 1.5 inches, & 1 inch) are connected with water stoppers to control the water flow during experiments. The leak is contained within a plastic tub to make measurements easier. Results show a good connection between attenuation & water level for all pipe diameters, supporting the LPF-based ring filter’s effectiveness as a leakage detector. An analogous circuit model is created to evaluate the filter’s performance further. At the same time, the resonant parameters, such as Q-factors & resonant frequencies, are retrieved from S21 magnitude measurements in the operating frequency range. The proposed methodology is shown to be accurate & reliable, offering significant potential for water leakage detection in PVC pipe systems. By accurately detecting water leakage, this technology enables prompt repairs, reducing water loss & associated costs, enhancing water infrastructure, and promoting sustainable water management.

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开发和鉴定基于对数周期性馈线的过滤器,用于检测尺寸不变的 PVC 管道中的漏水情况
在这项提议的工作中,使用连接到对数周期馈线(LPF)的环形滤波器对聚氯乙烯(PVC)管道的漏水检测进行了研究。所提议的滤波器采用结构良好的环形设计,以调整 PVC 管道,工作频率为 0.3 GHz & 0.7 GHz。利用信号发生器和分析仪进行衰减测量,分析漏水的影响。不同直径(3 英寸、2 英寸、1.5 英寸和 1 英寸)的 PVC 管与止水带相连,以便在实验过程中控制水流。为了便于测量,漏水处被装在一个塑料盆中。结果表明,在所有直径的管道中,衰减与水位之间都有很好的联系,这支持了基于 LPF 的环形滤波器作为泄漏检测器的有效性。为了进一步评估滤波器的性能,我们创建了一个类似的电路模型。与此同时,通过测量工作频率范围内的 S21 幅值,可以获得谐振参数,如 Q 因子和谐振频率。所提出的方法准确可靠,为 PVC 管道系统的漏水检测提供了巨大潜力。通过准确检测漏水,该技术可以实现及时维修,减少水损失及相关成本,改善水基础设施,促进可持续水资源管理。
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来源期刊
Flow Measurement and Instrumentation
Flow Measurement and Instrumentation 工程技术-工程:机械
CiteScore
4.30
自引率
13.60%
发文量
123
审稿时长
6 months
期刊介绍: Flow Measurement and Instrumentation is dedicated to disseminating the latest research results on all aspects of flow measurement, in both closed conduits and open channels. The design of flow measurement systems involves a wide variety of multidisciplinary activities including modelling the flow sensor, the fluid flow and the sensor/fluid interactions through the use of computation techniques; the development of advanced transducer systems and their associated signal processing and the laboratory and field assessment of the overall system under ideal and disturbed conditions. FMI is the essential forum for critical information exchange, and contributions are particularly encouraged in the following areas of interest: Modelling: the application of mathematical and computational modelling to the interaction of fluid dynamics with flowmeters, including flowmeter behaviour, improved flowmeter design and installation problems. Application of CAD/CAE techniques to flowmeter modelling are eligible. Design and development: the detailed design of the flowmeter head and/or signal processing aspects of novel flowmeters. Emphasis is given to papers identifying new sensor configurations, multisensor flow measurement systems, non-intrusive flow metering techniques and the application of microelectronic techniques in smart or intelligent systems. Calibration techniques: including descriptions of new or existing calibration facilities and techniques, calibration data from different flowmeter types, and calibration intercomparison data from different laboratories. Installation effect data: dealing with the effects of non-ideal flow conditions on flowmeters. Papers combining a theoretical understanding of flowmeter behaviour with experimental work are particularly welcome.
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