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Intelligent diagnostic method for vortex shedding flowmeter

A vortex flowmeter and intelligent diagnosis technology, which is applied in the direction of testing/calibrating volume flow, liquid/fluid solid measurement, measuring devices, etc., can solve problems such as the disadvantages of vortex flowmeter diagnosis, and achieve lower professional quality requirements and good adaptability Sexuality, the effect of improving diagnostic efficiency

Active Publication Date: 2018-06-15
合肥科迈捷智能传感技术有限公司
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  • Summary
  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0003] When the vortex flowmeter fails, due to its special structure, it is difficult to find the cause of the problem, which leads to great disadvantages in the diagnosis of the vortex flowmeter

Method used

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  • Intelligent diagnostic method for vortex shedding flowmeter
  • Intelligent diagnostic method for vortex shedding flowmeter
  • Intelligent diagnostic method for vortex shedding flowmeter

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Embodiment Construction

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0033] Such as figure 1 As shown, the vortex flowmeter diagnostic system based on artificial intelligence is divided into device end, server and web end. The device end is the vortex flowmeter itself, which is used to respond to server requests and data responses. Interaction with information on the web side and data processing operations, the web side is used for information transmission of human-computer interaction.

[0034] When the vortex flowmeter fails duri...

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PUM

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Abstract

The invention discloses an intelligent diagnostic method for a vortex shedding flowmeter. The method comprises the following steps that parameter setting of the flowmeter is checked; sensor faults ofan instrument are checked; measuring abnormal caused by field conditions are checked. Accordingly, a man-machine interactive interface based on a Web side is intuitive and simple, and the cost broughtwhen maintainers check on site is avoided; a diagnosis and discrimination method based on a similarity algorithm has good adaptability, and the professional quality requirements for the maintainers can be lowered; according to an intelligent classifier judgment method introducing an AdaBoost algorithm, when enough training samples are accumulated, a classifier is is trained by the enough samples,field sensor data analysis does not adopt a similarity method, the diagnosis result is rapidly output by the classifier, and then the diagnosis efficiency is improved.

Description

technical field [0001] The invention belongs to the field of vortex flowmeters, in particular to an intelligent diagnosis method for vortex flowmeters. Background technique [0002] The vortex meter uses the principle of Karman vortex street to measure the flow rate. A bluff body is inserted vertically into the pipeline. As the fluid flows around the bluff, the phenomenon of vortex separation occurs, forming a regular vortex row. The rotation direction of the vortex on both sides is opposite. This kind of vortex is called Karman vortex street. According to the above principle, people have developed a vortex flowmeter. An instrument for measuring flow. [0003] When the vortex flowmeter fails, due to its special structure, it is difficult to find the cause of the problem, which leads to great disadvantages in the diagnosis of the vortex flowmeter. In order to solve the above problems, an intelligent diagnosis method of vortex flowmeter is proposed. Contents of the inventi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01F25/00
CPCG01F25/10
Inventor 顾宇叶寒生冯超周长林韩忠俊
Owner 合肥科迈捷智能传感技术有限公司
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