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引用次数: 0
摘要
本课题主要研究利用Arduino Nano 33 BLE Sense Rev2板开发超声波检漏系统。该研究旨在创造一种紧凑且经济高效的解决方案,用于识别高压管道中的泄漏。我们开发了一种算法来实现无损记录(没有缓冲区溢出或丢失样本)和处理机载微电子机械系统(MEMS)麦克风捕获的声音数据。关键的信号处理技术,包括实现无限脉冲响应(IIR)高通滤波器和均方根(RMS)计算,用于检测与泄漏相关的超声波频率。我们在一个加压管道装置上测试了该系统,证明了它能够在20厘米的有效范围内通过一个明显的26 kHz超声波峰值准确识别泄漏。
Development and testing of a low-cost ultrasonic leak detector
This study focuses on the development of an ultrasonic leak detection system utilizing the Arduino Nano 33 BLE Sense Rev2 board. The research aimed to create a compact and cost-effective solution for identifying leaks in high-pressure pipes. We developed algorithms to enable lossless recording (without buffer overflow or dropped samples) and processing of sound data captured by the onboard Micro Electronic Mechanical Systems (MEMS) microphone. Key signal processing techniques, including the implementation of an Infinite Impulse Response (IIR) high-pass filter and Root-Mean-Square (RMS) calculation, are employed to detect ultrasonic frequencies associated with leaks. We tested the system on a pressurized pipe setup, demonstrating its ability to accurately identify leaks via a distinct 26 kHz ultrasonic peak within an effective range of 20 cm.
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.