A fluid analysis method for a high-speed three-dimensional flow centrifugal impeller

Abstract

The present invention relates to the field of fluid dynamics technology, and discloses a fluid analysis method for a high-speed three-dimensional flow centrifugal impeller, comprising: obtaining one or more target analysis model sets using the initial analysis model set, constructing an analysis condition node group set for testing the target analysis model based on the fluid analysis fitting unit, obtaining multiple standard analysis value sets using the analysis condition node group set, obtaining multiple target analysis curve segments based on the multiple standard analysis value sets, confirming the reception of a reference fluid instruction from a fluid information input unit, parsing the reference fluid instruction, obtaining reference fluid information, and using the reference fluid information, multiple target analysis curve segments, and a fluid analysis adjustment unit to confirm that the target analysis model is a preset target standard model, and then realizing fluid analysis of the centrifugal impeller. The main purpose of the present invention is to improve the accuracy of fluid analysis of a three-dimensional flow centrifugal impeller.

Description

Technical Field

[0001] The invention relates to a fluid analysis method for a high-speed three-dimensional flow centrifugal impeller, belonging to the technical field of fluid dynamics. Background Art

[0002] The quality and quality of the centrifugal impeller will directly affect the stability and practicality of the device or mechanism where the centrifugal impeller is located. Therefore, before using the device or mechanism where the centrifugal impeller is located, it is necessary to perform a simulated fluid analysis on the centrifugal impeller in order to ensure the stability and practicality of the centrifugal impeller.

[0003] At present, fluid analysis of centrifugal impellers mainly relies on traditional empirical formulas. However, traditional empirical formulas can only adapt to specific scenarios. In the actual application of impellers, there are various usage scenarios. Therefore, how to accurately realize fluid analysis of centrifugal impellers has become an urgent problem to be solved. Summary of the invention

[0004] The present invention provides a fluid analysis method, device and computer-readable storage medium for a high-speed three-dimensional flow centrifugal impeller, the main purpose of which is to improve the accuracy of fluid analysis on the three-dimensional flow centrifugal impeller.

[0005] To achieve the above object, the present invention provides a fluid analysis method for a high-speed three-dimensional flow centrifugal impeller, comprising:

[0006] Receiving a fluid analysis instruction, and confirming a fluid analysis environment based on the fluid analysis instruction, wherein the fluid analysis environment includes a fluid analysis system and an initial analysis model set, and the fluid analysis system includes: a fluid analysis fitting unit, a fluid information input unit, and a fluid analysis adjustment unit, wherein the initial analysis model set includes a plurality of initial analysis models, and the initial analysis models include: a three-dimensional flow centrifugal impeller and an impeller use model;

[0007] Using the initial analysis model set to obtain one or more target analysis model sets;

[0008] The following operations are performed for each of the one or more target analysis model sets:

[0009] The following operations are performed for each target analysis model in the target analysis model set:

[0010] Based on the fluid analysis fitting unit, an analysis condition node group set for testing a target analysis model is constructed, and a plurality of standard analysis value sets are obtained by using the analysis condition node group set, wherein the analysis condition node group set includes a plurality of analysis condition node groups, and the analysis condition node groups correspond to the standard analysis value sets one by one;

[0011] acquiring a plurality of target analysis curve segments based on the plurality of standard analysis value sets;

[0012] Confirm that a reference fluid instruction is received from a fluid information input unit, parse the reference fluid instruction, and obtain reference fluid information, wherein the reference fluid information includes: a reference fluid name, a reference fluid pressure, and a reference fluid type. After the reference fluid information, a plurality of target analysis curve segments, and a fluid analysis adjustment unit are used to confirm that the target analysis model is a preset target standard model, fluid analysis of the centrifugal impeller is performed.

[0013] Optionally, the acquiring one or more target analysis model sets by using the initial analysis model set includes:

[0014] Initial analysis models are sequentially extracted from the initial analysis model set, and the following operations are performed on the extracted initial analysis models:

[0015] A reference parameter set is obtained based on the extracted initial analysis model, wherein the reference parameter set includes: an impeller parameter set of a three-dimensional flow centrifugal impeller and a use parameter set of an impeller use model, wherein the impeller parameter set includes: number of blades, hub ratio, impeller diameter, impeller width, impeller thickness and impeller material;

[0016] The extracted initial analysis model is identified by using the reference parameter set to obtain an identified analysis model, and the identified analysis models are respectively summarized according to the reference parameter set to obtain one or more target analysis model sets.

[0017] Optionally, constructing an analysis condition node group set for testing a target analysis model set based on the fluid analysis fitting unit includes:

[0018] Confirming receipt of a fluid analysis instruction from a fluid analysis fitting unit, parsing the fluid analysis instruction, and obtaining a plurality of influencing factors, wherein the plurality of influencing factors include: an impeller speed gradient sequence, a fluid temperature range, a fluid name, a fluid type, and a fluid pressure range, wherein the impeller speed gradient sequence includes a plurality of impeller speed values, wherein the fluid type includes a gaseous fluid and a liquid fluid;

[0019] The fluid temperature range is extracted from the multiple influencing factors, and the following operations are performed on the extracted fluid temperature range:

[0020] Acquire a plurality of fluid temperature gradient values ​​based on the extracted fluid temperature range and a preset first division threshold;

[0021] The fluid pressure range is used to obtain multiple fluid pressure gradient values, and based on the impeller speed gradient sequence, multiple fluid temperature gradient values, multiple fluid pressure gradient values, fluid name and fluid type, the analysis condition node group is obtained in a combined manner, wherein the analysis condition node group is as follows:

[0022] ,

[0023] in, Represents the analysis condition node, Indicates the type of fluid Fluid type, when When 1 is taken, it means gaseous fluid. When the value is 2, it indicates liquid fluid. Indicates the name of the fluid, Indicates the first The impeller speed value, Indicates the first of multiple fluid temperature gradient values The fluid temperature gradient value, Indicates the first of multiple fluid pressure gradient values Fluid pressure gradient value;

[0024] The analysis condition node groups are aggregated to obtain an analysis condition node group set.

[0025] Optionally, the obtaining of multiple standard analysis value sets using the target analysis model set and the analysis condition node group set includes:

[0026] Extract analysis condition node groups from the analysis condition node group set in sequence, and perform the following operations on the extracted analysis condition node groups:

[0027] The target viscosity value and the reference viscosity value are obtained by using the extracted analysis condition node group;

[0028] Summarizing the target viscosity value and the reference viscosity value to obtain a plurality of temperature-viscosity analysis sets, wherein the temperature-viscosity analysis set includes: a target viscosity value set and a reference viscosity value set, wherein the target viscosity value set includes one or more first viscosity values ​​and the reference viscosity value set includes one or more second viscosity values, and the fluid temperature gradient values ​​corresponding to the analysis condition nodes in the plurality of analysis condition nodes corresponding to the temperature-viscosity analysis set are different, and the analysis condition nodes correspond to the target viscosity values ​​and the reference viscosity values ​​one by one;

[0029] For each of the multiple temperature-viscosity analysis sets, the following operations are performed:

[0030] Using the fluid temperature gradient value corresponding to the analysis condition node, a target first viscosity value and a target second viscosity value are retrieved from the temperature-viscosity analysis set, the fluid temperature gradient value is associated with the target first viscosity value and the target second viscosity value to obtain a temperature-viscosity node, and the temperature-viscosity nodes are summarized to obtain a temperature-viscosity node set;

[0031] Mapping the temperature-viscosity nodes in the temperature-viscosity node set to a pre-constructed temperature-viscosity coordinate system to obtain a target analysis node set, wherein the horizontal axis corresponding to the temperature-viscosity coordinate system is temperature, and the vertical axis is viscosity;

[0032] Obtaining a fitting model set for fitting the curve, wherein the fitting model set includes a plurality of fitting models;

[0033] The following operations are performed on the fitted models in the fitted model set:

[0034] Based on the fitting model and the target analysis node set, a first fitting curve and a second fitting curve are obtained, wherein the first fitting curve is a curve corresponding to the target viscosity value set, and the second fitting curve is a curve corresponding to the reference viscosity value set, and a fitting analysis node set is selected from the first fitting curve and the second fitting curve by using the fluid temperature gradient value corresponding to the analysis condition node, wherein the fitting analysis node set includes a plurality of fitting analysis nodes, and the fitting analysis nodes correspond one-to-one to the target first viscosity value and the target second viscosity value, wherein the fitting analysis nodes include fitting viscosity values ​​and fitting temperatures;

[0035] The standard analysis values ​​are calculated using pre-constructed evaluation relations, fitting analysis node sets, and temperature-viscosity analysis sets. The standard analysis values ​​are summarized according to the fluid temperature gradient values ​​corresponding to the analysis condition groups in the temperature-viscosity analysis set to obtain multiple standard analysis value sets.

[0036] Optionally, the step of obtaining a target viscosity value and a reference viscosity value by using the extracted analysis condition node group includes:

[0037] Acquire an analysis fluid and a viscosity test unit set for testing the viscosity of the fluid based on the analysis condition node group, wherein the viscosity test unit set includes a plurality of viscosity test units;

[0038] Extract viscosity test units from the viscosity test unit set in sequence, and perform the following operations on the extracted viscosity test units:

[0039] Based on the extracted viscosity test unit and the analysis fluid, an initial viscosity is obtained, the initial viscosity is summarized to obtain an initial viscosity set, and a reference viscosity value of the analysis fluid is obtained based on the analysis condition node group;

[0040] The initial viscosity set is used to obtain the initial viscosity mean and the initial viscosity variance, wherein the initial viscosity mean is the mean of the initial viscosities in the initial viscosity set, and the initial viscosity variance is the variance of the initial viscosities in the initial viscosity set. The viscosity evaluation value is calculated according to the initial viscosity mean, the reference viscosity value and the initial viscosity variance, and the calculation formula is as follows:

[0041] ,

[0042] in, Indicates the viscosity evaluation value, are all preset coefficients. represents the initial viscosity variance, represents the average initial viscosity, Indicates the reference viscosity value;

[0043] comparing the viscosity assessment value with a preset viscosity assessment threshold;

[0044] If the viscosity evaluation value is greater than the viscosity evaluation threshold, the initial viscosity set and the initial viscosity mean are used to obtain a screening viscosity set, wherein the screening viscosity set includes a plurality of screening viscosity values, and the screening viscosity values ​​correspond to the initial viscosities one by one, and the screening viscosity value is the absolute difference between the initial viscosity and the initial viscosity mean;

[0045] According to the order of the screening viscosity values ​​from large to small, a sorting operation is performed on the screening viscosity values ​​in the screening viscosity set to obtain a screening viscosity sequence;

[0046] The screening viscosity values ​​are sequentially eliminated from the screening viscosity sequence, and the number of the eliminated screening viscosity values ​​is recorded to obtain the elimination number, the initial viscosities corresponding to the retained screening viscosity values ​​in the screening viscosity sequence are summarized to obtain an updated viscosity value set, and an updated viscosity evaluation value is obtained by using the updated viscosity value set. If the updated viscosity evaluation value is less than or equal to the viscosity evaluation threshold or the elimination number reaches the preset elimination threshold, the updated viscosity value set is used to obtain a target viscosity value, wherein the target viscosity value is the mean of the initial viscosities in the updated viscosity value set; otherwise, the updated viscosity value set is used as the initial viscosity set, and the step of obtaining the initial viscosity mean and the initial viscosity variance by using the initial viscosity set is returned until the target viscosity value is obtained.

[0047] Optionally, the evaluation relationship is as follows:

[0048] ,

[0049] in, is the standard analysis value, Indicates the first The target first viscosity value corresponding to the fitting analysis node, Indicates the first The target second viscosity value corresponding to the fitting analysis node, and The corresponding fitting temperature and The corresponding fluid temperature gradient values ​​are equal. Indicates that the target viscosity value set corresponding to the temperature-viscosity analysis set has The fluid temperature gradient value, Indicates the first of multiple fluid temperature gradient values The fluid temperature gradient value, Indicates the first of multiple fluid temperature gradient values The fluid temperature gradient value.

[0050] Optionally, acquiring a plurality of target analysis curve segments based on the plurality of standard analysis value sets comprises:

[0051] Multiple fluid temperature ranges are obtained using multiple fluid temperature gradient values, and the following operations are performed on each of the multiple fluid temperature ranges:

[0052] Based on a preset second division threshold, a plurality of inspection temperature values ​​are extracted in the fluid temperature range, and one or more target inspection temperature values ​​are randomly extracted from the plurality of inspection temperature values ​​using a preset inspection value, wherein the number corresponding to the one or more target inspection temperature values ​​is equal to the inspection value, and a detection analysis value is obtained based on the one or more target inspection temperature values;

[0053] The comprehensive evaluation value is calculated based on the test analysis value and the standard analysis value. The calculation formula is as follows:

[0054] ,

[0055] in, Represents the comprehensive evaluation value, are all preset coefficients. Indicates the test analysis value;

[0056] Summarize the comprehensive evaluation values ​​to obtain a comprehensive evaluation value set

[0057] Performing a sorting operation on the comprehensive evaluation values ​​in the comprehensive evaluation value set in ascending order to obtain a comprehensive evaluation sequence;

[0058] The first fitting curve corresponding to the first comprehensive evaluation value in the comprehensive evaluation sequence is taken as the target analysis curve segment, and the target analysis curve segments are summarized to obtain multiple target analysis curve segments.

[0059] Optionally, before confirming that the target analysis model is a preset target standard model by using the reference fluid information, the plurality of target analysis curve segments, and the fluid analysis adjustment unit, the method includes:

[0060] A test flow sequence and a test flow rate sequence are obtained using a pre-built flow meter, a pre-built test parameter group and a target analysis model, wherein the test flow sequence includes a plurality of test flow values, the test flow rate sequence includes a plurality of test flow rate values, and the test flow rate values ​​correspond to the test flow values ​​one by one;

[0061] A first target viscosity is retrieved from a plurality of target analysis curve segments based on the test parameter group, and a correction coefficient is calculated according to the first target viscosity, a test flow rate sequence, a test flow rate sequence and a target viscosity value.

[0062] Optionally, the correction coefficient is calculated based on the first target viscosity, the test flow rate sequence, the test flow rate sequence and the target viscosity value, and the calculation formula is as follows:

[0063] ,

[0064] in, represents the correction factor, Indicates the preset coefficients, Indicates that there are a total of Test flow value, Indicates the first Test flow value, Indicates the first Test flow rate value, Indicates the reference temperature of the flow meter, represents the fluid temperature gradient value of the analyzed fluid, Indicates the reference pressure of the flow meter, represents the fluid pressure gradient value of the analyzed fluid, Indicates the test viscosity of the flow meter, represents the first target viscosity, They represent temperature coefficient, pressure coefficient and viscosity coefficient respectively.

[0065] Optionally, the step of using the reference fluid information, the plurality of target analysis curve segments, and the fluid analysis adjustment unit to confirm that the target analysis model is a preset target standard model includes:

[0066] Confirming receipt of an analysis adjustment instruction from a fluid analysis adjustment unit, parsing the analysis adjustment instruction to obtain an analysis detection frequency, using the analysis detection frequency, a target analysis model, a correction coefficient and a flow meter to obtain a monitoring pressure and a monitoring fluid temperature, and obtaining a monitoring pressure sequence based on the monitoring pressure, wherein the monitoring pressure sequence includes a plurality of monitoring pressures, and a storage quantity of the monitoring pressures in the monitoring pressure sequence is preset;

[0067] Retrieving a target analysis viscosity from a plurality of target analysis curve segments using the reference fluid information and monitoring the fluid temperature;

[0068] A theoretical analysis model is constructed based on a reference parameter set corresponding to the target analysis model, and an initial evaluation pressure value is obtained using the theoretical analysis model, reference fluid information, and target analysis viscosity;

[0069] Obtaining a target assessment pressure value according to the initial assessment pressure value and a preset assessment ratio, wherein the target assessment pressure value is the product of the initial assessment pressure value and the assessment ratio;

[0070] Based on the monitoring pressure sequence, a monitoring pressure mean and a monitoring pressure variance are obtained, wherein the monitoring pressure mean is the mean of multiple monitoring pressures in the monitoring pressure sequence. After confirming that the monitoring pressure mean is greater than or equal to the target evaluation pressure value and the monitoring pressure variance is less than or equal to a preset monitoring variance threshold, the target analysis model is confirmed to be the target standard model.

[0071] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0072] at least one processor; and,

[0073] a memory communicatively connected to the at least one processor; wherein,

[0074] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to implement the fluid analysis method of the high-speed three-dimensional flow centrifugal impeller described above.

[0075] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the fluid analysis method of the high-speed three-dimensional flow centrifugal impeller described above.

[0076] Compared with the problem described in the background technology, the present invention first uses the initial analysis model set to obtain one or more target analysis model sets. It can be seen that the present invention not only considers the differences between three-dimensional flow centrifugal impellers, but also considers the differences when the three-dimensional flow centrifugal impellers are used. Therefore, the initial sub-item model set is divided to obtain one or more target analysis model sets. Then, fluid analysis is performed on the target analysis model in each target analysis model set to improve the accuracy of the analysis of the three-dimensional flow centrifugal impeller. The present invention constructs an analysis condition node group set for testing the target analysis model based on the fluid analysis fitting unit, and uses the analysis condition node group set to obtain multiple standard analysis value sets, wherein the analysis condition node group set includes multiple analysis condition node groups, and the analysis condition node groups correspond one-to-one to the standard analysis value sets. Based on the multiple standard analysis value sets, multiple target analysis curve segments are obtained. It can be seen that the present invention takes into account different flows under different conditions. The viscosity of the fluid may be different, and thus, fitting a more accurate curve can improve the accuracy of analyzing the fluid under different working conditions and temperatures, confirming the reference fluid instruction received from the fluid information input unit, parsing the reference fluid instruction, and obtaining the reference fluid information, wherein the reference fluid information includes: reference fluid name, reference fluid pressure and reference fluid type, and using the reference fluid information, multiple target analysis curve segments, and the fluid analysis adjustment unit to confirm that the target analysis model is the preset target standard model, the fluid analysis of the centrifugal impeller is realized. It can be seen that the embodiment of the present invention also considers that the temperature of the fluid may change with the change of working time, working environment and other factors. Therefore, dynamically confirming that the target analysis model is the target standard model can improve the accuracy of analyzing the target analysis model. Therefore, the fluid analysis method, device, electronic device and computer-readable storage medium of the high-speed three-dimensional flow centrifugal impeller proposed in the present invention mainly aim to improve the accuracy of fluid analysis of the three-dimensional flow centrifugal impeller. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 A schematic flow chart of a fluid analysis method for a high-speed three-dimensional flow centrifugal impeller provided in one embodiment of the present invention;

[0078] Figure 2 A schematic diagram of the structure of an electronic device for implementing the fluid analysis method of the high-speed three-dimensional flow centrifugal impeller provided in one embodiment of the present invention.

[0079] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0080] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0081] The embodiment of the present application provides a fluid analysis method for a high-speed three-dimensional flow centrifugal impeller. The execution subject of the fluid analysis method for the high-speed three-dimensional flow centrifugal impeller includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the fluid analysis method for the high-speed three-dimensional flow centrifugal impeller can be executed by software or hardware installed in a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0082] Embodiment 1:

[0083] Reference Figure 1 FIG. 1 is a flow chart of a method for analyzing fluid of a high-speed three-dimensional flow centrifugal impeller according to an embodiment of the present invention. In this embodiment, the method for analyzing fluid of a high-speed three-dimensional flow centrifugal impeller includes:

[0084] S1. Receive a fluid analysis instruction, and confirm a fluid analysis environment based on the fluid analysis instruction, wherein the fluid analysis environment includes a fluid analysis system and an initial analysis model set, and the fluid analysis system includes: a fluid analysis fitting unit, a fluid information input unit, and a fluid analysis adjustment unit, wherein the initial analysis model set includes multiple initial analysis models, and the initial analysis models include: a three-dimensional flow centrifugal impeller and an impeller use model.

[0085] It should be explained that the fluid analysis instruction is an instruction issued by a person who performs fluid analysis on a three-dimensional flow centrifugal impeller, and the fluid analysis environment refers to the necessary environment for performing fluid analysis on a three-dimensional flow centrifugal impeller, wherein the fluid analysis environment includes a fluid analysis system and an initial analysis model set, and the fluid analysis system refers to software or a small program for implementing fluid analysis on a three-dimensional flow impeller, and the fluid analysis system includes: a fluid analysis fitting unit, a fluid information input unit, and a fluid analysis adjustment unit. For the application of specific units, please refer to the subsequent embodiments.

[0086] It should be understood that the initial analysis model refers to a mechanism or unit including a three-dimensional flow centrifugal impeller. For example, a hydraulic pump including a three-dimensional flow centrifugal impeller, in which the portion of the hydraulic pump excluding the three-dimensional flow centrifugal impeller is the impeller usage model. The three-dimensional flow centrifugal impeller refers to an impeller designed using the three-dimensional flow theory.

[0087] For example, Xiao Zhang, as a designer of a three-dimensional flow centrifugal impeller, issues the fluid analysis instruction and confirms the fluid analysis environment in order to determine whether the three-dimensional flow centrifugal impeller designed by Xiao Zhang can meet the needs of actual working conditions.

[0088] S2. Obtain one or more target analysis model sets using the initial analysis model set.

[0089] It is understandable that the step of obtaining one or more target analysis model sets by using the initial analysis model set includes:

[0090] Initial analysis models are sequentially extracted from the initial analysis model set, and the following operations are performed on the extracted initial analysis models:

[0091] A reference parameter set is obtained based on the extracted initial analysis model, wherein the reference parameter set includes: an impeller parameter set of a three-dimensional flow centrifugal impeller and a use parameter set of an impeller use model, wherein the impeller parameter set includes: number of blades, hub ratio, impeller diameter, impeller width, impeller thickness and impeller material;

[0092] The extracted initial analysis model is identified by using the reference parameter set to obtain an identified analysis model, and the identified analysis models are respectively summarized according to the reference parameter set to obtain one or more target analysis model sets.

[0093] It should be explained that the number of blades refers to the total number of blades on the impeller. The hub ratio refers to the ratio of the impeller hub diameter to the impeller outer diameter. The impeller diameter refers to the outer diameter of the impeller, that is, the distance from the outermost edge of the outer wheel to the center of the hub. The impeller width refers to the radial dimension of the impeller. The impeller thickness refers to the dimension of the impeller blades in the direction perpendicular to the rotation plane. The impeller material refers to the material used in the manufacture of the impeller. The use parameter set refers to the dimensional parameters of the mechanism or unit in which the three-dimensional flow centrifugal impeller is located. For example: when the three-dimensional flow centrifugal impeller is used in a hydraulic pump, the use parameter set includes but is not limited to: the length, width and height of the hydraulic pump.

[0094] Furthermore, the same three-dimensional flow centrifugal impeller is used in different environments or units, and the effects that can be achieved by the three-dimensional flow centrifugal impeller under the same working state are also different. Therefore, after the initial analysis model is identified by the reference parameter set, the initial analysis model that is respectively summarized and identified according to the reference parameter set can improve the accuracy of the analysis of the initial analysis model. For example: there are 4 initial analysis models in the initial analysis model set, and the impeller parameter sets corresponding to the first two initial analysis models are both the first impeller parameter sets, and the impeller parameter sets corresponding to the last two initial analysis models are both the second impeller parameter sets, and the use parameter sets corresponding to the first and third initial analysis models are both the first use parameter sets, and the use parameter sets corresponding to the second and fourth initial analysis models are both the second use parameter sets. Here, only the first initial analysis model is taken as an example: after the first initial analysis model is identified by the first impeller parameter set and the first use parameter set, the first initial analysis model can be identified as: the first impeller parameter set-the first use parameter set-the initial analysis model. The same effect can be achieved by using other technologies, which will not be repeated here. By summarizing the identified initial analysis models according to the reference parameter set, four target analysis model sets can be obtained, and each of the four target analysis model sets only includes one identified analysis model.

[0095] S3. Based on the fluid analysis fitting unit, an analysis condition node group set for testing the target analysis model is constructed, and a plurality of standard analysis value sets are obtained using the analysis condition node group set, wherein the analysis condition node group set includes a plurality of analysis condition node groups, and the analysis condition node groups correspond one-to-one to the standard analysis value sets.

[0096] It should be explained that the analysis condition node group set for testing the target analysis model set constructed based on the fluid analysis fitting unit includes:

[0097] Confirming receipt of a fluid analysis instruction from a fluid analysis fitting unit, parsing the fluid analysis instruction, and obtaining a plurality of influencing factors, wherein the plurality of influencing factors include: an impeller speed gradient sequence, a fluid temperature range, a fluid name, a fluid type, and a fluid pressure range, wherein the impeller speed gradient sequence includes a plurality of impeller speed values, wherein the fluid type includes a gaseous fluid and a liquid fluid;

[0098] The fluid temperature range is extracted from the multiple influencing factors, and the following operations are performed on the extracted fluid temperature range:

[0099] Acquire a plurality of fluid temperature gradient values ​​based on the extracted fluid temperature range and a preset first division threshold;

[0100] The fluid pressure range is used to obtain multiple fluid pressure gradient values, and based on the impeller speed gradient sequence, multiple fluid temperature gradient values, multiple fluid pressure gradient values, fluid name and fluid type, the analysis condition node group is obtained in a combined manner, wherein the analysis condition node group is as follows:

[0101] ,

[0102] in, Represents the analysis condition node, Indicates the type of fluid Fluid type, when When 1 is taken, it means gaseous fluid. When the value is 2, it indicates liquid fluid. Indicates the name of the fluid, Indicates the first The impeller speed value, Indicates the first of multiple fluid temperature gradient values The fluid temperature gradient value, Indicates the first of multiple fluid pressure gradient values Fluid pressure gradient value;

[0103] The analysis condition node groups are aggregated to obtain an analysis condition node group set.

[0104] It should be understood that the impeller speed value refers to the preset adjustable speed value of the impeller, for example, the impeller speed is regulated by a motor. The fluid temperature range refers to the temperature range in which the impeller can work. Optionally, the fluid temperature range is obtained by referring to the instruction manual provided by the impeller manufacturer. Gaseous fluid refers to a fluid in the physical form of gas. For example: air. Liquid fluid refers to a fluid in the physical form of liquid. For example: water, hydraulic oil and lubricating oil. The fluid pressure range refers to the pressure range in which the impeller can work, and the fluid pressure range is related to the fluid type. For example: when the fluid type is a gaseous fluid, the fluid pressure range is the atmospheric pressure in which the impeller can work, and when the fluid type is a liquid fluid, the fluid pressure range is the hydraulic or water pressure in which the impeller can work. Optionally, the fluid pressure range is obtained by referring to the instruction manual provided by the impeller manufacturer. Optionally, the fluid temperature range is divided by the average division method and the first division threshold to obtain multiple fluid temperature gradient values. Other technologies can achieve the same effect, which will not be repeated here. The method for obtaining multiple fluid pressure gradient values ​​is the same as the method for obtaining the multiple fluid temperature gradient values ​​and can achieve the same effect, which will not be repeated here. For example: the fluid temperature range is: 20 degrees Celsius to 40 degrees Celsius, the preset first division threshold is 3, and the fluid temperature range can be divided into 3 fluid temperature gradient values ​​by the average division method, and the 3 fluid temperature gradient values ​​are 20 degrees Celsius, 30 degrees Celsius and 40 degrees Celsius respectively.

[0105] Furthermore, the combination form can obtain the influence of a certain influencing factor on the impeller when other conditions remain unchanged and the influencing factor changes, thereby improving the intelligence of fluid analysis of the impeller. The fluid name refers to the name of the fluid when the fluid is transported or compressed by the three-dimensional flow impeller. For example: air, water and hydraulic oil.

[0106] It is understandable that the method of obtaining multiple standard analysis value sets by using the target analysis model set and the analysis condition node set includes:

[0107] Extract analysis condition node groups from the analysis condition node group set in sequence, and perform the following operations on the extracted analysis condition node groups:

[0108] The target viscosity value and the reference viscosity value are obtained by using the extracted analysis condition node group;

[0109] Summarizing the target viscosity value and the reference viscosity value to obtain a plurality of temperature-viscosity analysis sets, wherein the temperature-viscosity analysis set includes: a target viscosity value set and a reference viscosity value set, wherein the target viscosity value set includes one or more first viscosity values ​​and the reference viscosity value set includes one or more second viscosity values, and the fluid temperature gradient values ​​corresponding to the analysis condition nodes in the plurality of analysis condition nodes corresponding to the temperature-viscosity analysis set are different, and the analysis condition nodes correspond to the target viscosity values ​​and the reference viscosity values ​​one by one;

[0110] For each of the multiple temperature-viscosity analysis sets, the following operations are performed:

[0111] Using the fluid temperature gradient value corresponding to the analysis condition node group, a target first viscosity value and a target second viscosity value are retrieved in the temperature-viscosity analysis set, the fluid temperature gradient value is associated with the target first viscosity value and the target second viscosity value to obtain a temperature-viscosity node, and the temperature-viscosity nodes are summarized to obtain a temperature-viscosity node set;

[0112] Mapping the temperature-viscosity nodes in the temperature-viscosity node set to a pre-constructed temperature-viscosity coordinate system to obtain a target analysis node set, wherein the horizontal axis corresponding to the temperature-viscosity coordinate system is temperature, and the vertical axis is viscosity;

[0113] Obtaining a fitting model set for fitting the curve, wherein the fitting model set includes a plurality of fitting models;

[0114] The following operations are performed on the fitted models in the fitted model set:

[0115] Based on the fitting model and the target analysis node set, a first fitting curve and a second fitting curve are obtained, wherein the first fitting curve is a curve corresponding to the target viscosity value set, and the second fitting curve is a curve corresponding to the reference viscosity value set, and a fitting analysis node set is selected from the first fitting curve and the second fitting curve using the fluid temperature gradient value corresponding to the analysis condition node group, wherein the fitting analysis node set includes a plurality of fitting analysis nodes, and the fitting analysis nodes correspond one-to-one to the target first viscosity value and the target second viscosity value, wherein the fitting analysis nodes include fitting viscosity values ​​and fitting temperatures;

[0116] The standard analysis values ​​are calculated using pre-constructed evaluation relations, fitting analysis node sets, and temperature-viscosity analysis sets. The standard analysis values ​​are summarized according to the fluid temperature gradient values ​​corresponding to the analysis condition groups in the temperature-viscosity analysis set to obtain multiple standard analysis value sets.

[0117] It should be explained that the reference viscosity value refers to the theoretical viscosity value under the analysis condition node group, and the target viscosity value refers to the actual viscosity value under the analysis condition node group. Because the viscosity of the fluid is greatly affected by temperature and less affected by pressure, the embodiment of the present invention mainly analyzes the influence of temperature on the fluid. The temperature-viscosity analysis set refers to: the only other parameters in the analysis condition node group are the same, and there is only a set of target viscosity values ​​and reference viscosity values ​​with different temperatures. The target first viscosity value and the target second viscosity value are the actual viscosity value and the ideal viscosity value corresponding to the fluid temperature gradient value in the analysis condition node group, respectively. Optionally, a polynomial fitting method is used as the fitting model, that is, a curve for fitting multiple points is drawn in the form of a polynomial. The fitting analysis node set refers to: under the fluid temperature gradient value corresponding to the analysis condition node group, the viscosity value on the first fitting curve and the second fitting curve and the temperature value corresponding to the viscosity, here, the fitting viscosity value refers to the actual viscosity value, and the fitting temperature refers to the temperature of the fluid under actual conditions.

[0118] It should be understood that the method of obtaining the target viscosity value and the reference viscosity value by using the extracted analysis condition node group includes:

[0119] Acquire an analysis fluid and a viscosity test unit set for testing the viscosity of the fluid based on the analysis condition node group, wherein the viscosity test unit set includes a plurality of viscosity test units;

[0120] Extract viscosity test units from the viscosity test unit set in sequence, and perform the following operations on the extracted viscosity test units:

[0121] Based on the extracted viscosity test unit and the analysis fluid, an initial viscosity is obtained, the initial viscosity is summarized to obtain an initial viscosity set, and a reference viscosity value of the analysis fluid is obtained based on the analysis condition node group;

[0122] The initial viscosity set is used to obtain the initial viscosity mean and the initial viscosity variance, wherein the initial viscosity mean is the mean of the initial viscosities in the initial viscosity set, and the initial viscosity variance is the variance of the initial viscosities in the initial viscosity set. The viscosity evaluation value is calculated according to the initial viscosity mean, the reference viscosity value and the initial viscosity variance, and the calculation formula is as follows:

[0123] ,

[0124] in, Indicates the viscosity evaluation value, are all preset coefficients. represents the initial viscosity variance, represents the average initial viscosity, Indicates the reference viscosity value;

[0125] comparing the viscosity assessment value with a preset viscosity assessment threshold;

[0126] If the viscosity evaluation value is greater than the viscosity evaluation threshold, the initial viscosity set and the initial viscosity mean are used to obtain a screening viscosity set, wherein the screening viscosity set includes a plurality of screening viscosity values, and the screening viscosity values ​​correspond to the initial viscosities one by one, and the screening viscosity value is the absolute difference between the initial viscosity and the initial viscosity mean;

[0127] According to the order of the screening viscosity values ​​from large to small, a sorting operation is performed on the screening viscosity values ​​in the screening viscosity set to obtain a screening viscosity sequence;

[0128] The screening viscosity values ​​are sequentially eliminated from the screening viscosity sequence, and the number of the eliminated screening viscosity values ​​is recorded to obtain the elimination number, the initial viscosities corresponding to the retained screening viscosity values ​​in the screening viscosity sequence are summarized to obtain an updated viscosity value set, and an updated viscosity evaluation value is obtained by using the updated viscosity value set. If the updated viscosity evaluation value is less than or equal to the viscosity evaluation threshold or the elimination number reaches the preset elimination threshold, the updated viscosity value set is used to obtain a target viscosity value, wherein the target viscosity value is the mean of the initial viscosities in the updated viscosity value set; otherwise, the updated viscosity value set is used as the initial viscosity set, and the step of obtaining the initial viscosity mean and the initial viscosity variance by using the initial viscosity set is returned until the target viscosity value is obtained.

[0129] It should be explained that the viscosity testing unit refers to a unit used to perform viscosity testing on the analytical fluid. Optionally, the viscosity testing unit is a capillary viscometer, and other methods can achieve the same effect and will not be repeated here. The analytical fluid refers to the fluid under the analytical condition. For example: the device or mechanism corresponding to the ternary flow is used to transport the water resources of River A, and the sediment content in River A is relatively high. Therefore, under normal circumstances, the viscosity of the water in River A is higher than the viscosity of water under ideal conditions. The initial viscosity refers to the viscosity value obtained by performing a viscosity test on the analytical fluid using a viscosity testing unit. The reference viscosity value refers to the viscosity of the ideal fluid corresponding to the analytical condition node. Optionally, the reference viscosity value is obtained by referring to the viscosity manual. For example: the viscosity of water is 0.89 mPas at 25 degrees Celsius. Because the test mechanisms of different viscosity test units are different and there are errors in measuring and analyzing fluids, the purpose of obtaining the reference viscosity value here is to combine the reference viscosity value with the initial viscosity mean and initial viscosity variance corresponding to the initial viscosity set to eliminate the unreasonable initial viscosity in the initial viscosity set, so that the target viscosity value obtained by using the initial viscosity set after elimination can characterize the characteristics of the analyzed fluid, thereby improving the accuracy of the analysis of the three-dimensional flow impeller. The method for obtaining the updated viscosity evaluation value is the same as the method for obtaining the viscosity evaluation value and can achieve the same effect, which will not be repeated here.

[0130] For example, after the impeller speed value, fluid temperature gradient value and fluid pressure gradient value corresponding to the analysis fluid are confirmed, the reference viscosity value of the analysis fluid is 1, the initial viscosity concentration has initial viscosities of 0.9, 1.1, 1.2, 1.3, 1.8, 0.8 and 0.7, the initial viscosity mean is 1.14, and the initial viscosity variance is 0.12. is 2.5, is 0.6, the viscosity evaluation value is: 0.13, the preset viscosity evaluation threshold is 0.1, and the rejection threshold is 1. The screening viscosity sequence obtained by using the initial viscosity set is: 0.8, 0.3, 0.3, 0.2, 0.2, 0.1 and 0.1. After 0.8 is removed from the screening viscosity sequence, the number of removals reaches the preset rejection threshold. Then, the initial viscosity corresponding to the screening viscosity value is summarized to obtain an updated viscosity value set, wherein the updated viscosity value set includes: 0.9, 1.1, 1.2, 1.3, 0.8 and 0.7. The updated viscosity value set is used to obtain the updated viscosity evaluation value, and the updated viscosity evaluation value is compared with the viscosity evaluation threshold, and so on, until the target viscosity value is obtained.

[0131] Furthermore, the evaluation relationship is as follows:

[0132] ,

[0133] in, is the standard analysis value, Indicates the first The target first viscosity value corresponding to the fitting analysis node, Indicates the first The target second viscosity value corresponding to the fitting analysis node, and The corresponding fitting temperature and The corresponding fluid temperature gradient values ​​are equal. Indicates that the target viscosity value set corresponding to the temperature-viscosity analysis set has The fluid temperature gradient value, Indicates the first of multiple fluid temperature gradient values The fluid temperature gradient value, Indicates the first of multiple fluid temperature gradient values The fluid temperature gradient value.

[0134] It is understandable that, in general, the viscosity of the fluid decreases as the temperature increases. As the mechanism or machine in which the impeller is located operates, the increase in fluid temperature is inevitable, and in general, the lower the viscosity of the fluid, the easier it is for the fluid to form unstable turbulence. Therefore, in the evaluation relationship, the weight coefficient is set in combination with the fluid temperature gradient value, so that the higher the fluid temperature gradient value, the larger the corresponding coefficient can improve the accuracy of the fluid analysis.

[0135] S4. Acquire multiple target analysis curve segments based on the multiple standard analysis value sets.

[0136] It should be understood that the step of acquiring a plurality of target analysis curve segments based on the plurality of standard analysis value sets includes:

[0137] Multiple fluid temperature ranges are obtained using multiple fluid temperature gradient values, and the following operations are performed on each of the multiple fluid temperature ranges:

[0138] Based on a preset second division threshold, a plurality of inspection temperature values ​​are extracted in the fluid temperature range, and one or more target inspection temperature values ​​are randomly extracted from the plurality of inspection temperature values ​​using a preset inspection value, wherein the number corresponding to the one or more target inspection temperature values ​​is equal to the inspection value, and a detection analysis value is obtained based on the one or more target inspection temperature values;

[0139] The comprehensive evaluation value is calculated based on the test analysis value and the standard analysis value. The calculation formula is as follows:

[0140] ,

[0141] in, Represents the comprehensive evaluation value, are all preset coefficients. Indicates the test analysis value;

[0142] Summarizing the comprehensive evaluation values ​​to obtain a comprehensive evaluation value set;

[0143] Performing a sorting operation on the comprehensive evaluation values ​​in the comprehensive evaluation value set in ascending order to obtain a comprehensive evaluation sequence;

[0144] The first fitting curve corresponding to the first comprehensive evaluation value in the comprehensive evaluation sequence is taken as the target analysis curve segment, and the target analysis curve segments are summarized to obtain multiple target analysis curve segments.

[0145] It is understandable that the second division threshold is obtained in the same manner as the first division threshold, and can achieve the same effect, and the method of extracting multiple detection temperature values ​​in the fluid temperature range using the second division threshold is the same as the method of obtaining multiple fluid temperature gradient values ​​using the first division threshold, which will not be repeated here. The purpose of randomly extracting the target detection temperature value is to improve the accuracy of the fitting result, and then to improve the accuracy of retrieving viscosity in the target analysis curve segment. For the specific retrieval process or analysis process, please refer to the subsequent embodiments. The smaller the comprehensive evaluation value in the comprehensive evaluation sequence, the better the fitting effect of the curve.

[0146] S5. Confirm that a reference fluid instruction is received from a fluid information input unit, parse the reference fluid instruction, and obtain reference fluid information, wherein the reference fluid information includes: a reference fluid name, a reference fluid pressure, and a reference fluid type. After the reference fluid information, a plurality of target analysis curve segments, and a fluid analysis adjustment unit are used to confirm that the target analysis model is a preset target standard model, fluid analysis of the centrifugal impeller is performed.

[0147] It is understandable that before the reference fluid information, the plurality of target analysis curve segments, and the fluid analysis adjustment unit are used to confirm that the target analysis model is a preset target standard model, the following steps are included:

[0148] A test flow sequence and a test flow rate sequence are obtained using a pre-built flow meter, a pre-built test parameter group and a target analysis model, wherein the test flow sequence includes a plurality of test flow values, the test flow rate sequence includes a plurality of test flow rate values, and the test flow rate values ​​correspond to the test flow values ​​one by one;

[0149] A first target viscosity is retrieved from a plurality of target analysis curve segments based on the test parameter group, and a correction coefficient is calculated according to the first target viscosity, a test flow rate sequence, a test flow rate sequence and a target viscosity value.

[0150] It should be understood that a flow meter refers to an instrument capable of measuring liquid flow, and optionally, a turbine flow meter is used as the flow meter. The test flow rate value refers to the flow rate of the fluid used for testing, and the test flow value is the flow value of the fluid used for testing, and both the test flow value and the test flow rate value are known.

[0151] Furthermore, by calculating the correction coefficient, the measurement result can be made more accurate when the flow meter is used for measurement, thereby improving the accuracy of fluid analysis. Optionally, the test flow value and the test flow velocity value are obtained by setting or measuring.

[0152] It should be explained that the correction coefficient is calculated based on the first target viscosity, the test flow rate sequence, the test flow rate sequence and the target viscosity value, and the calculation formula is as follows:

[0153] ,

[0154] in, represents the correction factor, Indicates the preset coefficients, Indicates that there are a total of Test flow value, Indicates the first Test flow value, Indicates the first Test flow rate value, Indicates the reference temperature of the flow meter, represents the fluid temperature gradient value of the analyzed fluid, Indicates the reference pressure of the flow meter, represents the fluid pressure gradient value of the analyzed fluid, Indicates the test viscosity of the flow meter, represents the first target viscosity, They represent temperature coefficient, pressure coefficient and viscosity coefficient respectively.

[0155] It should be understood that the reference temperature, reference pressure, test viscosity, temperature coefficient, pressure coefficient and viscosity coefficient can all be found in the flow meter production manual. The reference temperature, reference pressure and test viscosity refer to the temperature, pressure and viscosity of the fluid used in the test process when the manufacturer tests the flow meter.

[0156] Further, the method of using the reference fluid information, the plurality of target analysis curve segments, and the fluid analysis adjustment unit to confirm that the target analysis model is a preset target standard model includes:

[0157] Confirming receipt of an analysis adjustment instruction from a fluid analysis adjustment unit, parsing the analysis adjustment instruction to obtain an analysis detection frequency, using the analysis detection frequency, a target analysis model, a correction coefficient and a flow meter to obtain a monitoring pressure and a monitoring fluid temperature, and obtaining a monitoring pressure sequence based on the monitoring pressure, wherein the monitoring pressure sequence includes a plurality of monitoring pressures, and a storage quantity of the monitoring pressures in the monitoring pressure sequence is preset;

[0158] Retrieving a target analysis viscosity from a plurality of target analysis curve segments using the reference fluid information and monitoring the fluid temperature;

[0159] A theoretical analysis model is constructed based on a reference parameter set corresponding to the target analysis model, and an initial evaluation pressure value is obtained using the theoretical analysis model, reference fluid information, and target analysis viscosity;

[0160] Obtaining a target assessment pressure value according to the initial assessment pressure value and a preset assessment ratio, wherein the target assessment pressure value is the product of the initial assessment pressure value and the assessment ratio;

[0161] Based on the monitoring pressure sequence, a monitoring pressure mean and a monitoring pressure variance are obtained, wherein the monitoring pressure mean is the mean of multiple monitoring pressures in the monitoring pressure sequence. After confirming that the monitoring pressure mean is greater than or equal to the target evaluation pressure value and the monitoring pressure variance is less than or equal to a preset monitoring variance threshold, the target analysis model is confirmed to be the target standard model.

[0162] It should be explained that the monitoring pressure refers to the pressure that the target analysis model can generate, and the monitoring fluid temperature refers to the temperature of the fluid under actual conditions when the target analysis model is tested. The storage quantity refers to the number of monitoring pressures in the monitoring pressure sequence. For example, when the storage quantity is 5, the monitoring pressure sequence includes 5 monitoring pressures. Retrieving the target analysis viscosity from multiple target analysis curve segments using the reference fluid information and the monitoring fluid temperature means retrieving the first analysis curve that meets the reference fluid information from multiple target analysis curves based on the reference fluid information and the monitoring fluid temperature, and retrieving the viscosity value that meets the temperature from the first analysis curve using the monitoring fluid temperature. The theoretical analysis model refers to a three-dimensional model under theory. Optionally, the theoretical analysis model is constructed using ANSYS Fluent software, and the same effect can be achieved using other technologies, which will not be repeated here. The initial evaluation pressure value refers to the pressure value that can be supplied by the theoretical analysis model.

[0163] Compared with the problem described in the background technology, the present invention first uses the initial analysis model set to obtain one or more target analysis model sets. It can be seen that the present invention not only considers the differences between three-dimensional flow centrifugal impellers, but also considers the differences when the three-dimensional flow centrifugal impellers are used. Therefore, the initial sub-item model set is divided to obtain one or more target analysis model sets. Then, fluid analysis is performed on the target analysis model in each target analysis model set to improve the accuracy of the analysis of the three-dimensional flow centrifugal impeller. The present invention constructs an analysis condition node group set for testing the target analysis model based on the fluid analysis fitting unit, and uses the analysis condition node group set to obtain multiple standard analysis value sets, wherein the analysis condition node group set includes multiple analysis condition node groups, and the analysis condition node groups correspond one-to-one to the standard analysis value sets. Based on the multiple standard analysis value sets, multiple target analysis curve segments are obtained. It can be seen that the present invention takes into account different flows under different conditions. The viscosity of the fluid may be different, and thus, fitting a more accurate curve can improve the accuracy of analyzing the fluid under different working conditions and temperatures, confirming the reference fluid instruction received from the fluid information input unit, parsing the reference fluid instruction, and obtaining the reference fluid information, wherein the reference fluid information includes: reference fluid name, reference fluid pressure and reference fluid type, and using the reference fluid information, multiple target analysis curve segments, and the fluid analysis adjustment unit to confirm that the target analysis model is the preset target standard model, the fluid analysis of the centrifugal impeller is realized. It can be seen that the embodiment of the present invention also considers that the temperature of the fluid may change with the change of working time, working environment and other factors. Therefore, dynamically confirming that the target analysis model is the target standard model can improve the accuracy of analyzing the target analysis model. Therefore, the fluid analysis method, device, electronic device and computer-readable storage medium of the high-speed three-dimensional flow centrifugal impeller proposed in the present invention mainly aim to improve the accuracy of fluid analysis of the three-dimensional flow centrifugal impeller.

[0164] Embodiment 2:

[0165] like Figure 2 , is a schematic diagram of the structure of an electronic device for implementing a fluid analysis method of a high-speed three-dimensional flow centrifugal impeller provided by an embodiment of the present invention.

[0166] The electronic device 1 may include a processor 10, a memory 11, a bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a fluid analysis program for a high-speed three-dimensional flow centrifugal impeller.

[0167] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. The memory 11 may be an internal storage unit of the electronic device 1 in some embodiments, such as a mobile hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), etc. equipped on the electronic device 1. Further, the memory 11 may also include both an internal storage unit of the electronic device 1 and an external storage device. The memory 11 may not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the fluid analysis program of the high-speed three-dimensional flow centrifugal impeller, but also be used to temporarily store data that has been output or is to be output.

[0168] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes various functions and processes data of the electronic device 1 by running or executing programs or modules (such as fluid analysis programs for high-speed three-dimensional flow centrifugal impellers, etc.) stored in the memory 11, and calling data stored in the memory 11.

[0169] The bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0170] Figure 2 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 2The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0171] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0172] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0173] Optionally, the electronic device 1 may further include a user interface, which may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device, etc. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0174] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0175] The fluid analysis program for a high-speed three-dimensional flow centrifugal impeller stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, the following can be achieved:

[0176] Receiving a fluid analysis instruction, and confirming a fluid analysis environment based on the fluid analysis instruction, wherein the fluid analysis environment includes a fluid analysis system and an initial analysis model set, and the fluid analysis system includes: a fluid analysis fitting unit, a fluid information input unit, and a fluid analysis adjustment unit, wherein the initial analysis model set includes a plurality of initial analysis models, and the initial analysis models include: a three-dimensional flow centrifugal impeller and an impeller use model;

[0177] Using the initial analysis model set to obtain one or more target analysis model sets;

[0178] The following operations are performed for each of the one or more target analysis model sets:

[0179] The following operations are performed for each target analysis model in the target analysis model set:

[0180] Based on the fluid analysis fitting unit, an analysis condition node group set for testing a target analysis model is constructed, and a plurality of standard analysis value sets are obtained by using the analysis condition node group set, wherein the analysis condition node group set includes a plurality of analysis condition node groups, and the analysis condition node groups correspond to the standard analysis value sets one by one;

[0181] acquiring a plurality of target analysis curve segments based on the plurality of standard analysis value sets;

[0182] Confirm that a reference fluid instruction is received from a fluid information input unit, parse the reference fluid instruction, and obtain reference fluid information, wherein the reference fluid information includes: a reference fluid name, a reference fluid pressure, and a reference fluid type. After the reference fluid information, a plurality of target analysis curve segments, and a fluid analysis adjustment unit are used to confirm that the target analysis model is a preset target standard model, fluid analysis of the centrifugal impeller is performed.

[0183] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figure 1 to Figure 2 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0184] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0185] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0186] Receiving a fluid analysis instruction, and confirming a fluid analysis environment based on the fluid analysis instruction, wherein the fluid analysis environment includes a fluid analysis system and an initial analysis model set, and the fluid analysis system includes: a fluid analysis fitting unit, a fluid information input unit, and a fluid analysis adjustment unit, wherein the initial analysis model set includes a plurality of initial analysis models, and the initial analysis models include: a three-dimensional flow centrifugal impeller and an impeller use model;

[0187] Using the initial analysis model set to obtain one or more target analysis model sets;

[0188] The following operations are performed for each of the one or more target analysis model sets:

[0189] The following operations are performed for each target analysis model in the target analysis model set:

[0190] Based on the fluid analysis fitting unit, an analysis condition node group set for testing a target analysis model is constructed, and a plurality of standard analysis value sets are obtained by using the analysis condition node group set, wherein the analysis condition node group set includes a plurality of analysis condition node groups, and the analysis condition node groups correspond to the standard analysis value sets one by one;

[0191] acquiring a plurality of target analysis curve segments based on the plurality of standard analysis value sets;

[0192] Confirm that a reference fluid instruction is received from a fluid information input unit, parse the reference fluid instruction, and obtain reference fluid information, wherein the reference fluid information includes: a reference fluid name, a reference fluid pressure, and a reference fluid type. After the reference fluid information, a plurality of target analysis curve segments, and a fluid analysis adjustment unit are used to confirm that the target analysis model is a preset target standard model, fluid analysis of the centrifugal impeller is performed.

[0193] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0194] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0195] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0196] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. 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 solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A fluid analysis method for a high-speed three-dimensional flow centrifugal impeller, characterized in that: The method comprises: Receiving a fluid analysis instruction, and confirming a fluid analysis environment based on the fluid analysis instruction, wherein the fluid analysis environment includes a fluid analysis system and an initial analysis model set, and the fluid analysis system includes: a fluid analysis fitting unit, a fluid information input unit, and a fluid analysis adjustment unit, wherein the initial analysis model set includes a plurality of initial analysis models, and the initial analysis models include: a three-dimensional flow centrifugal impeller and an impeller use model; Using the initial analysis model set to obtain one or more target analysis model sets; The following operations are performed for each of the one or more target analysis model sets: The following operations are performed for each target analysis model in the target analysis model set: Based on the fluid analysis fitting unit, an analysis condition node group set for testing a target analysis model is constructed, and a plurality of standard analysis value sets are obtained by using the analysis condition node group set, wherein the analysis condition node group set includes a plurality of analysis condition node groups, and the analysis condition node groups correspond to the standard analysis value sets one by one; acquiring a plurality of target analysis curve segments based on the plurality of standard analysis value sets; Confirm that a reference fluid instruction is received from a fluid information input unit, parse the reference fluid instruction, and obtain reference fluid information, wherein the reference fluid information includes: a reference fluid name, a reference fluid pressure, and a reference fluid type. After the reference fluid information, a plurality of target analysis curve segments, and a fluid analysis adjustment unit are used to confirm that the target analysis model is a preset target standard model, fluid analysis of the centrifugal impeller is performed.

2. The fluid analysis method of the high-speed three-dimensional flow centrifugal impeller according to claim 1, characterized in that: The step of using the initial analysis model set to obtain one or more target analysis model sets includes: Initial analysis models are sequentially extracted from the initial analysis model set, and the following operations are performed on the extracted initial analysis models: A reference parameter set is obtained based on the extracted initial analysis model, wherein the reference parameter set includes: an impeller parameter set of a three-dimensional flow centrifugal impeller and a use parameter set of an impeller use model, wherein the impeller parameter set includes: number of blades, hub ratio, impeller diameter, impeller width, impeller thickness and impeller material; The extracted initial analysis model is identified by using the reference parameter set to obtain an identified analysis model, and the identified analysis models are respectively summarized according to the reference parameter set to obtain one or more target analysis model sets.

3. The fluid analysis method of the high-speed three-dimensional flow centrifugal impeller according to claim 2, characterized in that: The method of constructing an analysis condition node group set for testing a target analysis model set based on the fluid analysis fitting unit includes: Confirming receipt of a fluid analysis instruction from a fluid analysis fitting unit, parsing the fluid analysis instruction, and obtaining a plurality of influencing factors, wherein the plurality of influencing factors include: an impeller speed gradient sequence, a fluid temperature range, a fluid name, a fluid type, and a fluid pressure range, wherein the impeller speed gradient sequence includes a plurality of impeller speed values, wherein the fluid type includes a gaseous fluid and a liquid fluid; The fluid temperature range is extracted from the multiple influencing factors, and the following operations are performed on the extracted fluid temperature range: Acquire a plurality of fluid temperature gradient values ​​based on the extracted fluid temperature range and a preset first division threshold; The fluid pressure range is used to obtain multiple fluid pressure gradient values, and based on the impeller speed gradient sequence, multiple fluid temperature gradient values, multiple fluid pressure gradient values, fluid name and fluid type, the analysis condition node group is obtained in a combined manner, wherein the analysis condition node group is as follows: ， in, Represents the analysis condition node, Indicates the type of fluid Fluid type, when When 1 is taken, it means gaseous fluid. When the value is 2, it indicates liquid fluid. Indicates the name of the fluid, Indicates the first The impeller speed value, Indicates the first of multiple fluid temperature gradient values The fluid temperature gradient value, Indicates the first of multiple fluid pressure gradient values Fluid pressure gradient value; The analysis condition node groups are aggregated to obtain an analysis condition node group set.

4. The fluid analysis method of a high-speed three-dimensional flow centrifugal impeller according to claim 3, characterized in that: The method of obtaining a plurality of standard analysis value sets by using the target analysis model set and the analysis condition node group set includes: Extract analysis condition node groups from the analysis condition node group set in sequence, and perform the following operations on the extracted analysis condition node groups: The target viscosity value and the reference viscosity value are obtained by using the extracted analysis condition node group; Summarizing the target viscosity value and the reference viscosity value to obtain a plurality of temperature-viscosity analysis sets, wherein the temperature-viscosity analysis set includes: a target viscosity value set and a reference viscosity value set, wherein the target viscosity value set includes one or more first viscosity values ​​and the reference viscosity value set includes one or more second viscosity values, and the fluid temperature gradient values ​​corresponding to the analysis condition nodes in the plurality of analysis condition nodes corresponding to the temperature-viscosity analysis set are different, and the analysis condition nodes correspond to the target viscosity values ​​and the reference viscosity values ​​one by one; For each of the multiple temperature-viscosity analysis sets, the following operations are performed: Using the fluid temperature gradient value corresponding to the analysis condition node group, a target first viscosity value and a target second viscosity value are retrieved in the temperature-viscosity analysis set, the fluid temperature gradient value is associated with the target first viscosity value and the target second viscosity value to obtain a temperature-viscosity node, and the temperature-viscosity nodes are summarized to obtain a temperature-viscosity node set; Mapping the temperature-viscosity nodes in the temperature-viscosity node set to a pre-constructed temperature-viscosity coordinate system to obtain a target analysis node set, wherein the horizontal axis corresponding to the temperature-viscosity coordinate system is temperature, and the vertical axis is viscosity; Obtaining a fitting model set for fitting the curve, wherein the fitting model set includes a plurality of fitting models; The following operations are performed on the fitted models in the fitted model set: Based on the fitting model and the target analysis node set, a first fitting curve and a second fitting curve are obtained, wherein the first fitting curve is a curve corresponding to the target viscosity value set, and the second fitting curve is a curve corresponding to the reference viscosity value set, and a fitting analysis node set is selected from the first fitting curve and the second fitting curve using the fluid temperature gradient value corresponding to the analysis condition node group, wherein the fitting analysis node set includes a plurality of fitting analysis nodes, and the fitting analysis nodes correspond one-to-one to the target first viscosity value and the target second viscosity value, wherein the fitting analysis nodes include fitting viscosity values ​​and fitting temperatures; The standard analysis values ​​are calculated using pre-constructed evaluation relations, fitting analysis node sets, and temperature-viscosity analysis sets. The standard analysis values ​​are summarized according to the fluid temperature gradient values ​​corresponding to the analysis condition groups in the temperature-viscosity analysis set to obtain multiple standard analysis value sets.

5. The fluid analysis method of a high-speed three-dimensional flow centrifugal impeller according to claim 4, characterized in that: The method of obtaining a target viscosity value and a reference viscosity value by using the extracted analysis condition node group includes: Acquire an analysis fluid and a viscosity test unit set for testing the viscosity of the fluid based on the analysis condition node group, wherein the viscosity test unit set includes a plurality of viscosity test units; Extract viscosity test units from the viscosity test unit set in sequence, and perform the following operations on the extracted viscosity test units: Based on the extracted viscosity test unit and the analysis fluid, an initial viscosity is obtained, the initial viscosity is summarized to obtain an initial viscosity set, and a reference viscosity value of the analysis fluid is obtained based on the analysis condition node group; The initial viscosity set is used to obtain the initial viscosity mean and the initial viscosity variance, wherein the initial viscosity mean is the mean of the initial viscosities in the initial viscosity set, and the initial viscosity variance is the variance of the initial viscosities in the initial viscosity set. The viscosity evaluation value is calculated according to the initial viscosity mean, the reference viscosity value and the initial viscosity variance, and the calculation formula is as follows: ， in, Indicates the viscosity evaluation value, are all preset coefficients. represents the initial viscosity variance, represents the average initial viscosity, Indicates the reference viscosity value; comparing the viscosity assessment value with a preset viscosity assessment threshold; If the viscosity evaluation value is greater than the viscosity evaluation threshold, the initial viscosity set and the initial viscosity mean are used to obtain a screening viscosity set, wherein the screening viscosity set includes a plurality of screening viscosity values, and the screening viscosity values ​​correspond to the initial viscosities one by one, and the screening viscosity value is the absolute difference between the initial viscosity and the initial viscosity mean; According to the order of the screening viscosity values ​​from large to small, a sorting operation is performed on the screening viscosity values ​​in the screening viscosity set to obtain a screening viscosity sequence; The screening viscosity values ​​are sequentially eliminated from the screening viscosity sequence, and the number of the eliminated screening viscosity values ​​is recorded to obtain the elimination number, the initial viscosities corresponding to the retained screening viscosity values ​​in the screening viscosity sequence are summarized to obtain an updated viscosity value set, and an updated viscosity evaluation value is obtained by using the updated viscosity value set. If the updated viscosity evaluation value is less than or equal to the viscosity evaluation threshold or the elimination number reaches the preset elimination threshold, the updated viscosity value set is used to obtain a target viscosity value, wherein the target viscosity value is the mean of the initial viscosities in the updated viscosity value set; otherwise, the updated viscosity value set is used as the initial viscosity set, and the step of obtaining the initial viscosity mean and the initial viscosity variance by using the initial viscosity set is returned until the target viscosity value is obtained.

6. The fluid analysis method of a high-speed three-dimensional flow centrifugal impeller according to claim 5, characterized in that: The evaluation relationship is as follows: ， in, is the standard analysis value, Indicates the first The target first viscosity value corresponding to the fitting analysis node, Indicates the first The target second viscosity value corresponding to the fitting analysis node, and The corresponding fitting temperature and The corresponding fluid temperature gradient values ​​are equal. Indicates that the target viscosity value set corresponding to the temperature-viscosity analysis set has The fluid temperature gradient value, Indicates the first of multiple fluid temperature gradient values The fluid temperature gradient value, Indicates the first of multiple fluid temperature gradient values The fluid temperature gradient value.

7. The fluid analysis method of a high-speed three-dimensional flow centrifugal impeller according to claim 6, characterized in that: The acquiring a plurality of target analysis curve segments based on the plurality of standard analysis value sets comprises: Multiple fluid temperature ranges are obtained using multiple fluid temperature gradient values, and the following operations are performed on each of the multiple fluid temperature ranges: Based on a preset second division threshold, a plurality of inspection temperature values ​​are extracted in the fluid temperature range, and one or more target inspection temperature values ​​are randomly extracted from the plurality of inspection temperature values ​​using a preset inspection value, wherein the number corresponding to the one or more target inspection temperature values ​​is equal to the inspection value, and a detection analysis value is obtained based on the one or more target inspection temperature values; The comprehensive evaluation value is calculated based on the test analysis value and the standard analysis value. The calculation formula is as follows: ， in, Represents the comprehensive evaluation value, are all preset coefficients. Indicates the test analysis value; Summarizing the comprehensive evaluation values ​​to obtain a comprehensive evaluation value set; Performing a sorting operation on the comprehensive evaluation values ​​in the comprehensive evaluation value set in ascending order to obtain a comprehensive evaluation sequence; The first fitting curve corresponding to the first comprehensive evaluation value in the comprehensive evaluation sequence is taken as the target analysis curve segment, and the target analysis curve segments are summarized to obtain multiple target analysis curve segments.

8. The fluid analysis method of a high-speed three-dimensional flow centrifugal impeller according to claim 7, characterized in that: Before the reference fluid information, the plurality of target analysis curve segments, and the fluid analysis adjustment unit are used to confirm that the target analysis model is a preset target standard model, the method includes: A test flow sequence and a test flow rate sequence are obtained using a pre-built flow meter, a pre-built test parameter group and a target analysis model, wherein the test flow sequence includes a plurality of test flow values, the test flow rate sequence includes a plurality of test flow rate values, and the test flow rate values ​​correspond to the test flow values ​​one by one; A first target viscosity is retrieved from a plurality of target analysis curve segments based on the test parameter group, and a correction coefficient is calculated according to the first target viscosity, a test flow rate sequence, a test flow rate sequence and a target viscosity value.

9. The fluid analysis method of a high-speed three-dimensional flow centrifugal impeller according to claim 8, characterized in that: The correction coefficient is calculated based on the first target viscosity, the test flow rate sequence, the test flow rate sequence and the target viscosity value, and the calculation formula is as follows: ， in, represents the correction factor, Indicates the preset coefficients, Indicates that there are a total of Test flow value, Indicates the first Test flow value, Indicates the first Test flow rate value, Indicates the reference temperature of the flow meter, represents the fluid temperature gradient value of the analyzed fluid, Indicates the reference pressure of the flow meter, represents the fluid pressure gradient value of the analyzed fluid, Indicates the test viscosity of the flow meter, represents the first target viscosity, They represent temperature coefficient, pressure coefficient and viscosity coefficient respectively.

10. The fluid analysis method of a high-speed three-dimensional flow centrifugal impeller according to claim 9, characterized in that: The method of using the reference fluid information, a plurality of target analysis curve segments, and a fluid analysis adjustment unit to confirm that the target analysis model is a preset target standard model includes: Confirming receipt of an analysis adjustment instruction from a fluid analysis adjustment unit, parsing the analysis adjustment instruction to obtain an analysis detection frequency, using the analysis detection frequency, a target analysis model, a correction coefficient and a flow meter to obtain a monitoring pressure and a monitoring fluid temperature, and obtaining a monitoring pressure sequence based on the monitoring pressure, wherein the monitoring pressure sequence includes a plurality of monitoring pressures, and a storage quantity of the monitoring pressures in the monitoring pressure sequence is preset; Retrieving a target analysis viscosity from a plurality of target analysis curve segments using the reference fluid information and monitoring the fluid temperature; A theoretical analysis model is constructed based on a reference parameter set corresponding to the target analysis model, and an initial evaluation pressure value is obtained using the theoretical analysis model, reference fluid information, and target analysis viscosity; Obtaining a target assessment pressure value according to the initial assessment pressure value and a preset assessment ratio, wherein the target assessment pressure value is the product of the initial assessment pressure value and the assessment ratio; Based on the monitoring pressure sequence, a monitoring pressure mean and a monitoring pressure variance are obtained, wherein the monitoring pressure mean is the mean of multiple monitoring pressures in the monitoring pressure sequence. After confirming that the monitoring pressure mean is greater than or equal to the target evaluation pressure value and the monitoring pressure variance is less than or equal to a preset monitoring variance threshold, the target analysis model is confirmed to be the target standard model.

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