Diagnostic system for centrifugal pump flow components based on pressure pulsation intensity

Abstract

The present invention discloses a centrifugal pump flow component diagnostic system based on pressure pulsation intensity. The present invention relates to the technical field of centrifugal pump pressure pulsation intensity diagnosis, and solves the problem that the internal structure and fluid dynamic characteristics of the centrifugal pump lead to continuous changes in its operating conditions, making it difficult for traditional monitoring methods to accurately capture and analyze these changes. The lack of existing diagnostic capabilities limits the timely and effective maintenance of the centrifugal pump, thereby affecting its operating efficiency and life. The present invention significantly improves the diagnostic accuracy of abnormal operation of the centrifugal pump by installing pressure sensors at key positions of the centrifugal pump and accurately calculating the pressure pulsation intensity of each grid node to obtain a standard pressure pulsation intensity inside the centrifugal pump. It can monitor and analyze the pressure fluctuations of the centrifugal pump in real time, quickly and accurately identify abnormalities in operation, and improve diagnostic efficiency through reasonable analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of centrifugal pump pressure pulsation intensity diagnosis, in particular to a centrifugal pump flow component diagnosis system based on pressure pulsation intensity. Background Art

[0002] In the current development of centrifugal pump technology, diagnostic systems for flow-through components are key to improving pump efficiency and maintenance. Existing technologies include various sensors and monitoring devices for real-time monitoring of centrifugal pump operating conditions, such as temperature, vibration, flow rate, and pressure. The primary purpose of these monitoring systems is to detect abnormal operation of the centrifugal pump and provide guidance on necessary maintenance and repairs. For example, temperature and vibration sensors can detect early signs of mechanical failure, while flow rate and pressure sensors are used to assess pump efficiency and performance.

[0003] However, while existing technologies offer a certain degree of monitoring capability, in practice, they present significant limitations in diagnosing the complex and variability of centrifugal pump internal conditions, particularly flow-through components. The internal structure and fluid dynamics of a centrifugal pump result in constant changes in its operating conditions, making it difficult for traditional monitoring methods to accurately capture and analyze these changes. The inadequacy of existing diagnostic capabilities limits timely and effective maintenance of centrifugal pumps, thereby impacting their operating efficiency and lifespan. Therefore, there is an urgent need for an improved centrifugal pump flow-through component diagnostic system that can more accurately reflect the pump's internal conditions, particularly a highly sensitive diagnostic technology based on pressure pulsation intensity to improve maintenance efficiency and accuracy. Summary of the Invention

[0004] In view of the deficiencies in the prior art, the present invention provides a centrifugal pump flow component diagnosis system based on pressure pulsation intensity, which solves the problems in the background art.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a centrifugal pump flow component diagnosis system based on pressure pulsation intensity, comprising:

[0006] The acquisition module is used to evenly install several pressure sensors at the same position inside centrifugal pumps of the same specifications. The pressure sensors collect the pressure components of the centrifugal pumps during operation. Each location where a pressure sensor is installed is defined as a grid node. The grid node measures the pressure component at regular intervals and then sends it to the subsequent analysis and processing module.

[0007] An analysis and processing module is used to receive the pressure component of each grid node, calculate the average pressure component Pa and the periodic pressure component Pz at each grid node, and then calculate the pressure pulsation intensity CP of the grid node based on the average pressure component Pa and the periodic pressure component Pz; and then send the calculated pressure pulsation intensity CP of each network node to the subsequent data labeling module;

[0008] The data conicalization module is used to receive the pressure pulsation intensity CP calculated for each grid node, and obtain its discrete value by calculating the pressure pulsation intensity, and compare the discrete value with the preset deviation value, and finally obtain the pressure pulsation intensity of all remaining grid nodes participating in the calculation until the discrete value is less than or equal to the pressure pulsation intensity of the grid node within the preset deviation value, and calculate their average value to determine the pressure pulsation intensity inside the standard centrifugal pump;

[0009] The analysis and diagnosis module is used to collect the pressure pulsation intensity CPy inside a standard centrifugal pump in real time, draw a waveform diagram and compare it with the known normal operating waveform diagram, analyze and diagnose abnormal characteristics in the centrifugal pump, and mark the abnormal characteristics.

[0010] Preferably, the specific calculation method in the analysis and processing module is as follows:

[0011] The average pressure component of the grid node is calculated by the formula:

[0012]

[0013] The periodic pressure component of the grid node is calculated by the formula:

[0014] Pz(node,t)=P(node,t)-Pa(node)

[0015] Where N represents the number of pressure component samples in one calculation rotation cycle, t0 represents the starting time of the rotation cycle, P(node,t) represents the instantaneous pressure component measured at a grid node at a specific time t, and Δt is the time interval, that is, the time interval between two consecutive pressure component measurements.

[0016] Preferably, the specific formula for obtaining the pressure pulsation intensity Cp by the average pressure component Pa and the periodic pressure component Pz is:

[0017]

[0018] Where u represents the peripheral velocity of the impeller outlet in the centrifugal pump, and ρ represents the density of the fluid.

[0019] Preferably, the specific method for obtaining the standard pressure pulsation intensity inside the centrifugal pump is:

[0020] S1: For the pressure pulsation intensity CP of each grid node, first calculate the average pressure pulsation intensity CPb of all grid nodes, and then define the pressure pulsation intensity of each grid node as CPi (1≤i≤n), where n represents the total number of grid nodes;

[0021] S2: According to the formula Calculate the discrete values ​​L of the pressure pulsation intensity of n grid nodes, then compare the obtained discrete values ​​L. If L>Lx, it means that the discrete values ​​of the pressure pulsation intensity of all grid nodes are too large. Then, delete the corresponding CPi values ​​in descending order of |CPi-CPb| and calculate the discrete values ​​L of the remaining CPi values ​​accordingly until L≤Lx;

[0022] Among them, Lx is the preset deviation value, and the specific parameter value is set by professionals.

[0023] S3: Count the pressure pulsation intensities CPi of all remaining grid nodes participating in the calculation until the pressure pulsation intensities CPi of the grid nodes in L≤Lx, calculate their average value CPy, and mark it as the pressure pulsation intensity CPy inside the standard centrifugal pump.

[0024] Preferably, the specific method of analysis and diagnosis is:

[0025] AS1: The pressure pulsation intensity inside a standard centrifugal pump is collected in real time to generate a pressure pulsation waveform. In the real-time waveform, the horizontal axis usually represents time, and the vertical axis represents the pressure pulsation intensity.

[0026] AS2: Compare the observed waveform with the known normal operating waveform to find abnormal features in the real-time waveform;

[0027] AS3: Marks abnormal features generated by AS2.

[0028] Preferably, step AS2 includes:

[0029] AS21: Mark the peak value Ft in the known normal operating waveform, then record each peak value Fs (1≤s) of the waveform being generated, and compare Fs with [Ft-r, Ft+r]. If Fs is between [Ft-r, Ft+r], the centrifugal pump is operating normally. If Fs falls below [Ft-r, Ft+r] twice in a row, it indicates a sudden drop in the peak value, which is diagnosed as cavitation. This indicates that the pressure at the pump inlet has dropped to or below the vapor pressure of the liquid, causing bubble formation and collapse, which is then determined to be an abnormal characteristic. r is a preset value.

[0030] Preferably, after step AS21, the method further includes:

[0031] AS22: Calculate the difference He between the highest peak and the lowest valley in the waveform being generated, and simultaneously obtain the difference Hv between the highest peak and the lowest valley of the known normal operating waveform. Then, by installing a sound sensor, monitor the sound generated by the pump during operation. Use sound recognition technology and a pre-set recognition model to monitor whether the sound changes. When He>βHv and a change in the sound is detected, it is diagnosed as a mechanical problem inside the pump and then determined to be an abnormal characteristic. When He>βHv and no change in the sound is detected, it is diagnosed as improper operating conditions of the pump and then determined to be an abnormal characteristic, where β is a preset coefficient factor.

[0032] Preferably, it also includes an early warning module and a display terminal:

[0033] The early warning module is used to obtain the abnormal characteristics of the mark and generate early warning information to the display terminal.

[0034] The display terminal is used to display the operating status of the centrifugal pump and receive the warning information sent by the warning module in real time.

[0035] The present invention provides a centrifugal pump flow component diagnostic system based on pressure pulsation intensity. Compared with the prior art, it has the following advantages:

[0036] (1) The present invention significantly improves the diagnostic accuracy of abnormal operation of the centrifugal pump by installing pressure sensors at key positions of the centrifugal pump and accurately calculating the pressure pulsation intensity of each grid node to obtain the standard pressure pulsation intensity inside the centrifugal pump. The system can monitor and analyze the pressure fluctuations of the centrifugal pump in real time and quickly and accurately identify abnormalities in operation. Through reasonable analysis, it not only improves the diagnostic efficiency, but also reduces the additional maintenance costs and downtime caused by misdiagnosis, thereby ensuring the efficient and stable operation of the centrifugal pump.

[0037] (2) The present invention, through the analysis and diagnosis module, can not only monitor and diagnose the operating status of the centrifugal pump in real time, but also predict potential failure risks by analyzing the pressure pulsation data. By comparing the waveform of the real-time data with the known normal operating waveform, it can identify impending abnormal conditions, such as impeller wear, bearing problems, or improper operating conditions. This early warning capability allows maintenance personnel to take timely measures, such as adjusting operating parameters or performing necessary maintenance, to prevent the occurrence of failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The present invention will be further described below with reference to the accompanying drawings.

[0039] Figure 1 This is a framework diagram of a centrifugal pump flow component diagnostic system based on pressure pulsation intensity according to the present invention;

[0040] Figure 2This is a flow chart of the analysis and diagnosis module of the centrifugal pump flow component diagnosis system based on pressure pulsation intensity of the present invention. DETAILED DESCRIPTION

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0042] Example 1

[0043] See also Figures 1 to 2 , the present invention provides a centrifugal pump flow component diagnosis system based on pressure pulsation intensity, including;

[0044] The acquisition module is used to evenly install several pressure sensors at the same position inside centrifugal pumps of the same specifications. The pressure sensors collect the pressure components during the operation of the centrifugal pumps. Each location where a pressure sensor is installed is defined as a grid node. The grid node measures the pressure component once at a certain interval and then sends it to the subsequent analysis and processing module.

[0045] An analysis and processing module is used to receive the pressure component of each grid node, calculate the average pressure component Pa and the periodic pressure component Pz at each grid node, and then calculate the pressure pulsation intensity CP of the grid node based on the average pressure component Pa and the periodic pressure component Pz; and then send the calculated pressure pulsation intensity CP of each network node to the subsequent data labeling module;

[0046] The specific calculation method is as follows:

[0047] The average pressure component of the grid node is calculated by the formula:

[0048]

[0049] The periodic pressure component of the grid node is calculated by the formula:

[0050] Pz(node,t)=P(node,t)-Pa(node)

[0051] Where N represents the number of pressure component samples in a calculation rotation cycle, t0 represents the starting time of the rotation cycle, P(node,t) represents the instantaneous pressure component measured at a grid node at a specific time t, and Δt is the time interval, that is, the time interval between two consecutive pressure component measurements;

[0052] The specific formula for obtaining the pressure pulsation intensity Cp through the average pressure component Pa and the periodic pressure component Pz is:

[0053]

[0054] Where u represents the peripheral velocity of the impeller outlet in the centrifugal pump, and ρ represents the density of the fluid.

[0055] The data conicalization module is used to receive the pressure pulsation intensity CP calculated for each grid node, and obtain its discrete value by calculating the pressure pulsation intensity, and compare the discrete value with the preset deviation value, and finally obtain the pressure pulsation intensity of all remaining grid nodes participating in the calculation until the discrete value is less than or equal to the pressure pulsation intensity of the grid node within the preset deviation value, and calculate their average value to determine the pressure pulsation intensity inside the standard centrifugal pump;

[0056] The specific method of obtaining the standard pressure pulsation intensity inside the centrifugal pump is:

[0057] S1: For the pressure pulsation intensity CP of each grid node, first calculate the average pressure pulsation intensity CPb of all grid nodes, and then define the pressure pulsation intensity of each grid node as CPi (1≤i≤n), where n represents the total number of grid nodes;

[0058] S2: According to the formula Calculate the discrete values ​​L of the pressure pulsation intensity of n grid nodes, then compare the obtained discrete values ​​L. If L>Lx, it means that the discrete values ​​of the pressure pulsation intensity of all grid nodes are too large. Then, delete the corresponding CPi values ​​in descending order of |CPi-CPb| and calculate the discrete values ​​L of the remaining CPi values ​​accordingly until L≤Lx;

[0059] Among them, Lx is the preset deviation value, and the specific parameter value is set by professionals;

[0060] S3: Count the pressure pulsation intensities CPi of all remaining grid nodes participating in the calculation until the pressure pulsation intensities CPi of the grid nodes in L≤Lx, calculate their average value CPy, and mark it as the pressure pulsation intensity CPy inside the standard centrifugal pump.

[0061] The analysis and diagnosis module is used to collect the pressure pulsation intensity CPy inside the standard centrifugal pump in real time, draw a waveform graph and compare it with the known normal operation waveform graph, analyze and diagnose abnormal characteristics in the centrifugal pump, and mark the abnormal characteristics;

[0062] The specific methods of analysis and diagnosis are:

[0063] AS1: The pressure pulsation intensity inside a standard centrifugal pump is collected in real time to generate a pressure pulsation waveform. In the real-time waveform, the horizontal axis usually represents time, and the vertical axis represents the pressure pulsation intensity.

[0064] AS2: Compare the observed waveform with the known normal operating waveform to find abnormal features in the real-time waveform;

[0065] AS21: Mark the peak value Ft in the known normal operation waveform, then record each peak value Fs (1≤s) of the waveform being generated, and compare Fs with [Ft-r, Ft+r]. If Fs is between [Ft-r, Ft+r], the centrifugal pump is operating normally. If Fs falls below [Ft-r, Ft+r] twice consecutively, it indicates a sudden drop in the peak value. According to the principle that cavitation occurs, the pump inlet pressure drops below the vapor pressure of the fluid, causing the liquid to vaporize in these low-pressure areas and form bubbles. When these bubbles move with the fluid to the high-pressure area, they quickly collapse, producing strong local pressure fluctuations. This phenomenon is manifested as a sudden drop in the pressure peak in the pressure pulsation intensity waveform. When the bubbles collapse, the local pressure drops instantaneously, which is manifested as a sudden peak drop on the waveform. Based on this principle, cavitation is diagnosed, indicating that the pressure at the pump inlet has dropped to or below the vapor pressure of the liquid, causing bubble formation and collapse, which is then determined to be an abnormal characteristic. r is a preset value, and the specific parameters are set by professionals.

[0066] AS3: Marks abnormal features generated by AS2.

[0067] The early warning module is used to obtain the abnormal features of the mark and generate early warning information to the display terminal.

[0068] The display terminal is used to display the operating status of the centrifugal pump and receive the early warning information sent by the early warning module in real time.

[0069] Example 2

[0070] In the specific implementation process, this embodiment is based on the first embodiment and differs from the first embodiment in that the search for abnormal features in the real-time waveform further includes comparing the difference between the highest peak and the lowest valley in the waveform with the difference between the highest peak and the lowest valley in the known normal operating waveform to perform diagnosis:

[0071] AS22: Calculate the difference He between the highest peak and the lowest valley in the waveform being generated, and simultaneously obtain the difference Hv between the highest peak and the lowest valley of the known normal operating waveform. Then, by installing a sound sensor, monitor the sound generated by the pump during operation, and use sound recognition technology and a pre-set recognition model to monitor whether the sound changes. When He>βHv, and a change in the sound is detected, it is diagnosed as a mechanical problem inside the pump, such as impeller wear, damage, imbalance, or bearing problems, and then determined to be an abnormal feature. When He>βHv, and no change in the sound is detected, it is diagnosed as improper operating conditions of the pump, such as overload, too high or too low flow rate, resulting in reduced pump efficiency and increased energy consumption, and then determined to be an abnormal feature. β is a preset coefficient factor, and the specific parameters are set by professionals.

[0072] Example 3

[0073] The specific implementation process of this embodiment includes the entire implementation process of the above two groups of embodiments.

[0074] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0075] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A centrifugal pump flow component diagnostic system based on pressure pulsation intensity, characterized in that: include: The acquisition module is used to evenly install several pressure sensors at the same position inside centrifugal pumps of the same specifications. The pressure sensors collect the pressure components of the centrifugal pumps during operation. Each location where a pressure sensor is installed is defined as a grid node. The grid node measures the pressure component at regular intervals and then sends it to the subsequent analysis and processing module. An analysis and processing module is used to receive the pressure component of each grid node, calculate the average pressure component Pa and the periodic pressure component Pz at each grid node, and then calculate the pressure pulsation intensity CP of the grid node based on the average pressure component Pa and the periodic pressure component Pz; and then send the calculated pressure pulsation intensity CP of each network node to the subsequent data labeling module; The data standardization module is used to receive the pressure pulsation intensity CP calculated for each grid node and determine the pressure pulsation intensity inside the standard centrifugal pump; The specific method of obtaining the standard pressure pulsation intensity inside the centrifugal pump is: S1: For the pressure pulsation intensity CP of each grid node, first calculate the average pressure pulsation intensity CPb of all grid nodes, and then define the pressure pulsation intensity of each grid node as CPi , where n represents the total number of grid nodes; S2: According to the formula The discrete values ​​L of the pressure pulsation intensity of n grid nodes are calculated and then compared. If L>Lx, it means that the discrete values ​​of the pressure pulsation intensity of all grid nodes are too large. Then, the corresponding CPi values ​​are deleted in descending order according to |CPi-CPb| and the discrete values ​​L of the remaining CPi values ​​are calculated accordingly until ; Wherein, Lx is the preset deviation value; S3: Statistics until The pressure pulsation intensity CPi of all remaining grid nodes involved in the calculation is calculated to obtain their average value CPy, which is marked as the pressure pulsation intensity CPy inside the standard centrifugal pump; The analysis and diagnosis module is used to collect the pressure pulsation intensity CPy inside the standard centrifugal pump in real time and analyze and diagnose abnormal characteristics in the centrifugal pump; The specific methods of analysis and diagnosis are: AS1: The pressure pulsation intensity inside a standard centrifugal pump is collected in real time to generate a pressure pulsation waveform. In the real-time waveform, the horizontal axis represents time and the vertical axis represents pressure pulsation intensity. AS2: Compare the observed waveform with the known normal operating waveform to find abnormal features in the real-time waveform; AS3: Marks abnormal features generated by AS2; Step AS2 includes: AS22: Calculate the difference He between the highest peak and the lowest valley in the waveform being generated, and simultaneously obtain the difference Hv between the highest peak and the lowest valley of the known normal operating waveform. Then, by installing a sound sensor, monitor the sound generated by the pump during operation. Use sound recognition technology and a pre-set recognition model to monitor whether the sound changes. When He>βHv and a change in the sound is detected, it is diagnosed as a mechanical problem inside the pump and then determined to be an abnormal characteristic. When He>βHv and no change in the sound is detected, it is diagnosed as improper operating conditions of the pump and then determined to be an abnormal characteristic, where β is a preset coefficient factor.

2. The centrifugal pump flow component diagnosis system based on pressure pulsation intensity according to claim 1, characterized in that: The specific calculation method in the analysis and processing module is as follows: The average pressure component of the grid node is calculated by the formula: ; The periodic pressure component of the grid node is calculated by the formula: ; Where N represents the number of pressure component samples in a calculation rotation cycle, t0 represents the starting time of the rotation cycle, represents the instantaneous pressure component measured at a grid node at a specific time t, and Δt is the time interval, that is, the time interval between two consecutive pressure component measurements.

3. The centrifugal pump flow component diagnosis system based on pressure pulsation intensity according to claim 2, characterized in that: The specific formula for obtaining the pressure pulsation intensity CP through the average pressure component Pa and the periodic pressure component Pz is: ； Where u represents the peripheral velocity of the impeller outlet in the centrifugal pump, and ρ represents the density of the fluid.

4. The centrifugal pump flow component diagnosis system based on pressure pulsation intensity according to claim 1, characterized in that: Step AS2 also includes: AS21: Mark the peak value Ft in the known normal operating waveform, and then record each peak value Fs of the waveform being generated , compare Fs with [Ft-r, Ft+r]. If Fs is between [Ft-r, Ft+r], it indicates that the centrifugal pump is operating normally. When Fs is lower than Ft-r twice in a row, it indicates a sudden drop in the peak value, which is diagnosed as cavitation. It means that the pressure at the pump inlet drops to or below the vapor pressure of the liquid, causing bubbles to form and burst, and then it is judged as an abnormal feature, where r is a preset value.

5. The centrifugal pump flow component diagnosis system based on pressure pulsation intensity according to claim 1, characterized in that: It also includes an early warning module and a display terminal: The warning module is used to obtain the abnormal characteristics of the mark and generate warning information to the display terminal; The display terminal is used to display the operating status of the centrifugal pump and receive the warning information sent by the warning module in real time.

Images