Pipeline impact force observation-based intelligent measurement method for liquid flow

IF 2.3 3区工程技术 Q2 ENGINEERING, MECHANICAL Flow Measurement and Instrumentation Pub Date : 2024-09-21 DOI:10.1016/j.flowmeasinst.2024.102700

Qiguang Li , Xiru Zheng , Yu He , Fangmin Xu , Bingji Zeng , Bofang Duan , Yongkun Kuang , Zhihua Chen

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Abstract

This paper proposes an innovative measurement method that uses the impact force generated when the liquid flows through the pipe as an observation indicator, and successfully establishes a non-linear mapping relationship between the impact force sequence and the weight of the flowing liquid by training and learning the collected impact force sequence through the CLCD (CNN-LSTM-CNN-Double) network architecture. In response to the challenges such as the prevalent interference factors and inconsistent flow time lengths in the collected data, this paper introduces a new weight ratio algorithm, WRP (Weight-Ratio-Process), which effectively improves the robustness and accuracy of data processing. The experimental results show that the effective detection rate of the method reaches 90 % when the weighing error is set to ±5g on the constructed fluid impact force test platform. When the error range is relaxed to ±15g, the effective detection rate is increased to 98 %. This achievement demonstrates the broad application potential and practical value of the method in the field of fluid transport measurement.

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基于管道冲击力观测的液体流量智能测量方法

本文提出了一种以液体流经管道时产生的冲击力作为观测指标的创新测量方法，通过对采集到的冲击力序列进行CLCD（CNN-LSTM-CNN-Double）网络架构的训练和学习，成功建立了冲击力序列与流动液体重量之间的非线性映射关系。针对采集数据中普遍存在的干扰因素和流动时间长度不一致等难题，本文引入了一种新的权重比算法 WRP（Weight-Ratio-Process），有效提高了数据处理的鲁棒性和准确性。实验结果表明，在构建的流体冲击力测试平台上，当称重误差设置为±5g 时，该方法的有效检测率达到 90%。当误差范围放宽到 ±15g 时，有效检测率提高到 98%。这一成果表明该方法在流体输送测量领域具有广泛的应用潜力和实用价值。

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来源期刊

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.