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Ceramic pump turbine life detection system and method

A detection system and ceramic pump technology, applied in neural learning methods, computer-aided design, geometric CAD, etc., can solve the problem of no ceramic pump turbine service life prediction method, etc., and achieve the effect of avoiding damage

Active Publication Date: 2022-05-27
扬州中卓泵业有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Liquid pumps are used in many industries, and metal pumps made of metal parts, and when this traditional metal pump pumps highly corrosive and abrasive liquids, the internal components are severely corrosive and abrasive. damage, such as turbines; with the continuous development of industry, ceramic pumps are mostly used when pumping highly corrosive and abrasive liquids. During the process, it is still necessary to overhaul or replace the turbine of the ceramic pump to prevent the damage of the turbine from causing damage to production; when overhauling the turbine of the ceramic pump, its service life must be known, and it should be regularly overhauled according to the length of its service life; There is no prediction method for the service life of the ceramic pump turbine in the existing technology

Method used

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  • Ceramic pump turbine life detection system and method
  • Ceramic pump turbine life detection system and method
  • Ceramic pump turbine life detection system and method

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Embodiment 1

[0027] The main application scenarios of the present invention are: in the actual use process of the ceramic pump, the data during its operation is collected, and the service life of the turbine of the ceramic pump is obtained through the neural network.

[0028] This embodiment provides a system embodiment, a ceramic pump turbine life detection system, please refer to figure 1 , which shows a block diagram of a ceramic turbine life detection system provided by an embodiment of the present invention, and the system includes the following modules:

[0029] The ceramic pump working data acquisition module is used to obtain the water inlet velocity sequence, the outlet velocity sequence, the turbine rotational speed sequence and the pressure sequence composed of the impact force of the outlet liquid on the pipe corner when the ceramic pump is actually working.

[0030] First, set the sampling frequency, preferably the sampling frequency in this embodiment is 20HZ, and install flo...

Embodiment 2

[0063]This embodiment provides a method embodiment. A method for detecting the life of a ceramic pump turbine, the method comprising the following steps:

[0064] Step 1: Obtain the pressure sequence composed of the water inlet velocity sequence, the water outlet velocity sequence, the turbine rotational speed sequence and the impact force of the water outlet liquid on the corner of the pipe when the ceramic pump is actually working;

[0065] Step 2: The ratio of the corresponding elements of the outlet flow velocity sequence and the inlet velocity sequence constitutes a working efficiency sequence; the working efficiency sequence, the turbine rotational speed sequence and the pressure sequence are respectively divided with a preset duration to obtain the working efficiency subsequence, turbine rotational speed subsequence and Pressure subsequence; obtain the stability index of the subsequence based on the variance and mean of the work efficiency subsequence and the mean of th...

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Abstract

The invention relates to the technical field of turbine service life detection, in particular to a ceramic pump turbine service life detection system and method. The system comprises a ceramic pump working data acquisition module used for acquiring a water inlet flow speed sequence, a water outlet flow speed sequence, a turbine rotating speed sequence and a pressure sequence; the ceramic pump working data processing module is used for obtaining the stability index of the working efficiency sub-sequence, turbine loss evaluation and the working state of the ceramic pump; the turbine life prediction module establishes a prediction neural network based on a computer system of a biological model, and completes network training by using a loss function; and the service life of the ceramic pump turbine is obtained by predicting the neural network. The invention provides a system for detecting the service life of a ceramic pump turbine, which is substantially a computer system based on a biological model, can avoid the damage to production caused by the damage of the turbine, and can provide reference for maintenance personnel to maintain the turbine.

Description

technical field [0001] The invention relates to the technical field of turbine life detection, in particular to a ceramic pump turbine life detection system and method. Background technique [0002] Liquid pumps are used in many industries, and metal pumps are composed of metal parts. When this traditional metal pump pumps strong corrosive and abrasive liquids, the internal components are severely corrosive and abrasive. damage, such as turbines; with the continuous development of the industry, ceramic pumps are mostly used when pumping strong corrosive and abrasive liquids. Although the components in ceramic pumps have strong corrosion resistance and wear resistance, they are used in industrial production. During the process, the turbine of the ceramic pump still needs to be repaired or replaced to prevent the damage of the turbine from causing damage to production; when the turbine of the ceramic pump is repaired, its service life must be known, and it should be repaired r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/17G06N3/04G06N3/08
CPCG06F30/17G06N3/04G06N3/08G06F2119/04Y02E10/20
Inventor 徐方园
Owner 扬州中卓泵业有限公司