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Flow detection method based on sound transmission signal

A technology of acoustic emission signal and flow detection, which is applied in the direction of volume/mass flow, measurement flow/mass flow, liquid/fluid solid measurement and other directions generated by mechanical effects, and can solve signal distortion, inaccurate measured signal, and flow influence Issues that cannot be ignored

Active Publication Date: 2019-07-26
王涵青 +3
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

The insertion of the sensor will have a certain impact on the fluid flow, especially when the tube is small, the impact of the sensor probe on the flow cannot be ignored, the probe may become a new blunt body, and a new vortex street will be generated behind the probe, resulting in the measured signal being inconsistent. allow;
[0012] (2) The environmental requirements are relatively high. For relatively harsh factory environments, such as: high temperature, high pressure and other environments may cause signal distortion and large measurement errors

Method used

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  • Flow detection method based on sound transmission signal
  • Flow detection method based on sound transmission signal
  • Flow detection method based on sound transmission signal

Examples

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Embodiment Construction

[0043]In a plexiglass tube with a length of 6000mm and an inner diameter of 50mm, a wedge-shaped blunt body with a width of 15mm is set, and water is used as the medium. , 0.637m / s, 0.708m / s, 0.778m / s, 0.849m / s. Passive acoustic emission transducers are pasted at 50mm, 100mm, 150mm, 200mm, 250mm, 300mm, 350mm, 400mm, 450mm, 500mm, 550mm, and 600mm downstream of the blunt body. The sampling frequency is 16kHz, and each sampling time is 20s. device see figure 1 .

[0044] At different liquid velocities, the acoustic emission signals of water colliding with the wall are measured by several passive acoustic emission transducers at different positions on the pipeline wall to determine the frequency of the Karman vortex street and the evolution law of the vortex. The acoustic emission signal is subjected to fast Fourier transform to obtain a spectrogram, from which the signal frequency f can be obtained. The acoustic energy is distributed along the axial direction of the pipeline...

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Abstract

The invention discloses a flow detection method based on a sound transmission signal. The sound transmission signal in a pipeline is received, the received sound transmission signal is analyzed, and thus the flow of a fluid is detected. The method has the characteristics of high sensitivity, safety, environmental protection, simpleness, convenience, quickness and the like, the distribution frequency of a Carmen vortex street and the St dimensionless number of a pipeline system can be accurately determined, and great significance for development and application of a Carmen vortex street flow meter is achieved.

Description

technical field [0001] The invention relates to a flow detection method based on an acoustic emission signal, which can be used in a vortex flowmeter. [0002] technical background [0003] Karman vortex street is an important phenomenon in fluid mechanics. It is often encountered in nature. Under certain conditions, when the fluid bypasses some objects, the two sides of the object will periodically shed double lines with opposite rotation directions and regular arrangements. The vortex, after nonlinear action, forms a Karman vortex street. For example, water flowing through bridge piers, wind blowing through tall towers, chimneys, wires, etc. will form Karman vortex streets, so studying Karman vortex streets can help us avoid disadvantages. The frequency of vortex emission is an important parameter of Karman vortex street, which has important value for practical application. On the one hand, the Karman vortex street may have extremely adverse effects on the actual producti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01F1/32G01F15/06
CPCG01F1/3209G01F15/068
Inventor 王涵青叶涵辰郭燕妮林王旻
Owner 王涵青
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