Quick verification method for variable flow air inlet channel wind tunnel test data

Abstract

The invention discloses a quick verification method for variable-flow air inlet channel wind tunnel test data, relates to the field of pressure sensors, aims to solve the problems that a traditional accounting method is low in efficiency, poor in accuracy and not beneficial to high-quality operation of an air inlet channel wind tunnel test, and comprises the following steps of measuring point grouping and sorting, feature value extraction, feature value matrix processing and validity verification. Firstly, measuring points are classified, grouped and sequenced according to the positions of the stable / dynamic measuring points on a measuring section, a flow meter and the inner surface of a pipeline; then, according to the groups of the measuring points, directly extracting or indirectly calculating to obtain characteristic values capable of representing the states of the measuring points; then, the characteristic values of the measuring point groups under different air inlet flows are superposed and arranged according to the sequence of the air inlet flows from small to large to form a characteristic value matrix, and finally, the reasonability of the characteristic value matrix is judged by taking an aerodynamic theory rule that the characteristic values change along with the flows as a criterion. The rapid verification method for the variable-flow air inlet channel wind tunnel test data has a good application prospect in the aerospace field.

Description

Technical Field

[0001] The invention relates to the field of pressure sensors, and in particular to a method for quickly verifying variable flow inlet wind tunnel test data. Background Art

[0002] The inlet wind tunnel test is an important research method to obtain the inlet performance. The inlet wind tunnel test belongs to the category of pressure measurement test. During the test, steady-state pressure measuring tube blockage, dynamic sensor damage and other situations may occur at any time, resulting in abnormal pressure data measured at the measuring point, which in turn affects the calculation of the inlet aerodynamic performance. Therefore, it is necessary to verify the data after each vehicle test. In the variable flow inlet wind tunnel test, affected by the number of measuring points and flow points, each vehicle test will generate a large amount of pressure data. In this regard, the traditional data verification method is to manually compare the pressure data at some flow points, but this method has the problems of low efficiency and poor accuracy, which is not conducive to the high-quality conduct of the inlet wind tunnel test. Therefore, it is necessary to develop a rapid verification method for variable flow inlet wind tunnel test data. Summary of the invention

[0003] In order to solve the problem that the traditional calculation method is inefficient and inaccurate, which is not conducive to the high-quality performance of the inlet wind tunnel test, the present invention provides a method for quickly verifying the variable flow inlet wind tunnel test data, comprising the following steps: Step 1: Group and sort the measuring points. The measuring point groups include: measuring section steady-state total pressure measuring point group, measuring section steady-state static pressure measuring point group, measuring section dynamic pressure measuring point group, flow meter steady-state total pressure measuring point group, flow meter steady-state static pressure measuring point group, inner surface steady-state measuring point group and inner surface dynamic measuring point group; Step 2: Extracting characteristic values, extracting different characteristic values ​​according to the measuring point groups to characterize the working status of the measuring points; The original pressure values ​​are selected as characteristic values ​​for the measuring section steady-state total pressure measuring point group, the measuring section steady-state static pressure measuring point group, the flow meter steady-state total pressure measuring point group, the flow meter steady-state static pressure measuring point group and the inner surface steady-state measuring point group; The dynamic pressure measuring point group of the measuring section selects the ratio of the root mean square value of the dynamic pressure array to the average value of the steady-state total pressure of the measuring section, i.e., the turbulence degree, as the characteristic value; The dynamic measurement point group on the inner surface selects the mean value of the dynamic pressure array as the eigenvalue; Step 3: Matrix the eigenvalues. The eigenvalues ​​of the same measurement point group at different flow points are superimposed and arranged in the order of flow from small to large to form an eigenvalue matrix. Step 4: Validation: To determine the rationality of the eigenvalue matrix based on whether the eigenvalue changes with flow rate conform to the aerodynamic theory.

[0004] Further, the rationality of the eigenvalue matrix is ​​judged as follows: If the matrix of the measuring point group of the steady-state total pressure in the measuring section is reasonable, it should meet the objectivity and difference criteria; If the matrix of the steady-state static pressure measuring point group of the measuring section is reasonable, it should meet the criteria of objectivity, difference, monotony and uniformity; If the matrix of the dynamic pressure measuring point group of the measuring section is reasonable, it should meet the criteria of objectivity, difference, monotony and uniformity; If the flow meter steady-state total pressure measurement point group matrix or the flow meter steady-state static pressure measurement point group matrix is ​​reasonable, it should meet the objectivity, difference, monotonous decrease, and uniformity criteria; If the inner surface steady-state measurement point group matrix or the inner surface dynamic measurement point group matrix is ​​reasonable, it should meet the objectivity and difference criteria.

[0005] Furthermore, the objectivity is achieved through: ; Judgement, among which, is the difference between the theoretical upper limit of the eigenvalue and any eigenvalue, is the theoretical upper limit of the eigenvalue, is any eigenvalue in the eigenvalue matrix; The differences are: ; Judgement, among which, is the difference between two adjacent columns of the eigenvalue matrix, is the eigenvalue matrix x+1n Column eigenvalues; The monotonically decreasing property is achieved by: ; Judgement, among which, is the eigenvalue matrix m The mean of the row eigenvalues, is the difference between the means of the eigenvalues ​​of two adjacent rows in the eigenvalue matrix.

[0006] The monotonically increasing property is achieved by: ; judge; The uniformity criterion is: ; Judgement, among which, is the maximum value of the mth row in the eigenvalue matrix, is the eigenvalue matrix m The minimum value of the row, is the eigenvalue matrix m Row unevenness, To set the threshold.

[0007] Furthermore, the set threshold is specifically: For the steady-state static pressure measurement point group matrix of the measuring section, α≤0.05; for the steady-state total pressure point group matrix of the flowmeter and the steady-state static pressure measurement point group matrix of the flowmeter, α≤0.03; for the dynamic pressure measurement point group matrix of the measuring section, α≤1.0.

[0008] The present invention also provides an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes the above-mentioned method for rapid verification of variable flow inlet wind tunnel test data.

[0009] The present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method for quickly verifying the variable flow inlet duct wind tunnel test data is implemented.

[0010] The beneficial effects of the present invention are as follows: first, the method groups and sorts the measuring points according to their locations, and superimposes and arranges the eigenvalues ​​of the measuring points in order of flow from small to large to form an eigenvalue matrix. The obtained eigenvalue matrix has no restriction on the number of rows and columns, and the method is applicable; second, the method selects reasonable eigenvalues ​​and eigenvalue matrix criteria based on the pressure data characteristics measured by the measuring point group and in combination with aerodynamic theory, and the method is accurate; third, the implementation steps proposed by the method have clear mathematical logic and clear theoretical criteria, and can realize rapid verification of inlet wind tunnel test data through computer programming, and the method is efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 This is a flow chart of a method for rapid verification of variable flow inlet wind tunnel test data; Figure 2 It is a schematic diagram of the measurement point locations in the measurement section; Figure 3 This is a schematic diagram of the location of the intake duct measurement points; Figure 4 This is a schematic diagram of the flow meter measurement point location; Figure 5 Schematic diagram of the flow meter, measuring section and air inlet connection.

[0012] In the figure, 1—measuring section 2—measuring section total pressure rake 3—measuring section steady-state total pressure measuring point 4—measuring section dynamic pressure measuring point 5—measuring section steady-state static pressure measuring point 6—intake duct 7—intake duct inner surface steady-state measuring point 8—intake duct inner surface dynamic pressure measuring point 9—intake duct inner surface steady-state measuring point profile 10—flowmeter 11—flowmeter steady-state total pressure measuring point 12—flowmeter static pressure measuring point. DETAILED DESCRIPTION

[0013] In order to make the technical solutions and advantages of the embodiments of the present invention more clearly understood, the exemplary embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than an exhaustive list of all the embodiments. It should be noted that the embodiments of the present invention and the features in the embodiments can be combined with each other without conflict.

[0014] Embodiment 1, combination Figure 1 This embodiment is described. To solve the problem that the traditional calculation method is inefficient and inaccurate, which is not conducive to the high-quality performance of the inlet wind tunnel test, the present invention provides a method for quickly verifying variable flow inlet wind tunnel test data, including the following steps: Step 1: Group and sort the measuring points. The measuring point groups include: measuring section steady-state total pressure measuring point group, measuring section steady-state static pressure measuring point group, measuring section dynamic pressure measuring point group, flow meter steady-state total pressure measuring point group, flow meter steady-state static pressure measuring point group, inner surface steady-state measuring point group and inner surface dynamic measuring point group; Step 2: Extracting characteristic values, extracting different characteristic values ​​according to the measuring point groups to characterize the working status of the measuring points; The original pressure values ​​are selected as characteristic values ​​for the measuring section steady-state total pressure measuring point group, the measuring section steady-state static pressure measuring point group, the flow meter steady-state total pressure measuring point group, the flow meter steady-state static pressure measuring point group and the inner surface steady-state measuring point group; The dynamic pressure measuring point group of the measuring section selects the ratio of the root mean square value of the dynamic pressure array to the average value of the steady-state total pressure of the measuring section, i.e., the turbulence degree, as the characteristic value; The dynamic measurement point group on the inner surface selects the mean value of the dynamic pressure array as the eigenvalue; Step 3: Matrix the eigenvalues. The eigenvalues ​​of the same measurement point group at different flow points are superimposed and arranged in the order of flow from small to large to form an eigenvalue matrix. Step 4: Validation: To determine the rationality of the eigenvalue matrix based on whether the eigenvalue changes with flow rate conform to the aerodynamic theory.

[0015] Specific, combined Figure 2-Figure 5 It can be seen that the aerodynamic characteristics of the inlet duct are calculated by collecting pressure data at different flow rates through the measuring section 4, flowmeter 1, and measuring point 9 on the inner surface. i Total pressure rake 5, each total pressure rake 5 has j There are 6 steady-state total pressure measuring points, named P ij ,have k There are 8 steady-state static pressure measurement points, named J k , m Dynamic pressure measurement point 7, named DT m ; Flow meter 1 has aThere is a steady-state total pressure measuring point 2, named LP a , b There is a steady-state static pressure measurement point 3, named LJ b The inner surface of the air inlet has x There are 12 steady-state pressure profiles, each with y 1 ,y 2 …y y There are 10 steady-state measurement points, named Y xy ,have n There are 11 dynamic measurement points, named DT n The measurement points are grouped and sorted according to the following rules ( i + x +5) measurement point groups.

[0016] Table 1 Sequence of measuring points for steady-state total pressure in measuring section

[0017] Table 2 Sequence of measuring points for steady-state static pressure in measuring section

[0018] Table 3 Dynamic pressure measurement point group sequence of measurement section

[0019] Table 4 Flow meter steady state total pressure measurement point group sequence

[0020] Table 5 Flow meter steady state static pressure measurement point group sequence

[0021] Table 6 Sequence of steady-state measuring points on the inner surface

[0022] Table 7 Inner surface dynamic measurement point group sequence

[0023] The eigenvalue matrix has the following form: Table 8 Eigenvalue matrix

[0024] in, W m The test flow points are arranged in ascending order. m Traffic points; X n is the nth measuring point of a measuring point group; Tz mn For the test mUnder the flow points, the first n The characteristic value of each measuring point.

[0025] The rationality of the eigenvalue matrix is ​​determined as follows: If the matrix of the measuring point group of the steady-state total pressure in the measuring section is reasonable, it should meet the objectivity and difference criteria; If the matrix of the steady-state static pressure measuring point group of the measuring section is reasonable, it should meet the criteria of objectivity, difference, monotony and uniformity; If the matrix of the dynamic pressure measuring point group of the measuring section is reasonable, it should meet the criteria of objectivity, difference, monotony and uniformity; If the flow meter steady-state total pressure measurement point group matrix or the flow meter steady-state static pressure measurement point group matrix is ​​reasonable, it should meet the objectivity, difference, monotonous decrease, and uniformity criteria; If the inner surface steady-state measurement point group matrix or the inner surface dynamic measurement point group matrix is ​​reasonable, it should meet the objectivity and difference criteria.

[0026] Said objectivity is achieved through: ; Judgement, among which, is the difference between the theoretical upper limit of the eigenvalue and any eigenvalue, is the theoretical upper limit of the eigenvalue, is any eigenvalue in the eigenvalue matrix; Specifically, any eigenvalue in the eigenvalue matrix Should be less than When the eigenvalue is the original pressure value or the mean of the pressure array, Take the total pressure of the wind tunnel; when the characteristic value is turbulence, Take 0.1.

[0027] The differences are: ; Judgement, among which, is the difference between two adjacent columns of the eigenvalue matrix, is the eigenvalue matrix x+1n Column eigenvalues; The monotonically decreasing property is achieved by: ; Judgement, among which, is the eigenvalue matrix m The mean of the row eigenvalues, is the difference between the means of the eigenvalues ​​of two adjacent rows in the eigenvalue matrix.

[0028] The monotonically increasing property is achieved by: ; judge; The uniformity criterion is: ; Judgement, among which, is the maximum value of the mth row in the eigenvalue matrix, is the eigenvalue matrix m The minimum value of the row, is the eigenvalue matrix m Row unevenness, To set the threshold.

[0029] The setting threshold is specifically: For the steady-state static pressure measurement point group matrix of the measuring section, α≤0.05; for the steady-state total pressure point group matrix of the flowmeter and the steady-state static pressure measurement point group matrix of the flowmeter, α≤0.03; for the dynamic pressure measurement point group matrix of the measuring section, α≤1.0.

[0030] Embodiment 2: The electronic device of the present invention may include a processor and a memory, such as a single chip microcomputer including a central processing unit, etc. Furthermore, the processor is used to implement the steps of the above-mentioned variable flow inlet wind tunnel test data rapid verification method when executing the computer program stored in the memory.

[0031] Embodiment 3: The computer-readable storage medium of the present invention may be any form of storage medium that can be read by a processor of a computer device, including but not limited to non-volatile memory, volatile memory, ferroelectric memory, etc. A computer program is stored on the computer-readable storage medium. When the processor of the computer device reads and executes the computer program stored in the memory, the steps of the above-mentioned method for rapid verification of variable flow inlet wind tunnel test data can be implemented.

Claims

1. A method for quickly verifying variable flow inlet wind tunnel test data, characterized in that: The following steps are involved: Step 1: Group and sort the measuring points. The measuring point groups include: measuring section steady-state total pressure measuring point group, measuring section steady-state static pressure measuring point group, measuring section dynamic pressure measuring point group, flow meter steady-state total pressure measuring point group, flow meter steady-state static pressure measuring point group, inner surface steady-state measuring point group and inner surface dynamic measuring point group; Step 2: Extracting characteristic values, extracting different characteristic values ​​according to the measuring point groups to characterize the working status of the measuring points; The original pressure values ​​are selected as characteristic values ​​for the measuring section steady-state total pressure measuring point group, the measuring section steady-state static pressure measuring point group, the flow meter steady-state total pressure measuring point group, the flow meter steady-state static pressure measuring point group and the inner surface steady-state measuring point group; The dynamic pressure measuring point group of the measuring section selects the ratio of the root mean square value of the dynamic pressure array to the average value of the steady-state total pressure of the measuring section, i.e., the turbulence degree, as the characteristic value; The dynamic measurement point group on the inner surface selects the mean value of the dynamic pressure array as the eigenvalue; Step 3: Matrix the eigenvalues. The eigenvalues ​​of the same measurement point group at different flow points are superimposed and arranged in the order of flow from small to large to form an eigenvalue matrix. Step 4: Validation: To determine the rationality of the eigenvalue matrix based on whether the eigenvalue changes with flow rate conform to the aerodynamic theory.

2. A method for quickly verifying variable flow inlet wind tunnel test data according to claim 1, characterized in that: The rationality of the eigenvalue matrix is ​​determined as follows: If the matrix of the measuring point group of the steady-state total pressure in the measuring section is reasonable, it should meet the objectivity and difference criteria; If the matrix of the steady-state static pressure measuring point group of the measuring section is reasonable, it should meet the criteria of objectivity, difference, monotony and uniformity; If the matrix of the dynamic pressure measuring point group of the measuring section is reasonable, it should meet the criteria of objectivity, difference, monotony and uniformity; If the flow meter steady-state total pressure measurement point group matrix or the flow meter steady-state static pressure measurement point group matrix is ​​reasonable, it should meet the objectivity, difference, monotonous decrease, and uniformity criteria; If the inner surface steady-state measurement point group matrix or the inner surface dynamic measurement point group matrix is ​​reasonable, it should meet the objectivity and difference criteria.

3. A method for quickly verifying variable flow inlet wind tunnel test data according to claim 2, characterized in that: Said objectivity is achieved through: ； Judgement, among which, is the difference between the theoretical upper limit of the eigenvalue and any eigenvalue, is the theoretical upper limit of the eigenvalue, is any eigenvalue in the eigenvalue matrix; The differences are: ； Judgement, among which, is the difference between two adjacent columns of the eigenvalue matrix, is the eigenvalue matrix x+1n Column eigenvalues; The monotonically decreasing property is achieved by: ； Judgement, among which, is the eigenvalue matrix m The mean of the row eigenvalues, is the difference between the means of the eigenvalues ​​of two adjacent rows in the eigenvalue matrix; The monotonically increasing property is achieved by: ； judge; The uniformity criterion is: ； Judgement, among which, is the eigenvalue matrix m The maximum value of the row, is the eigenvalue matrix m The minimum value of the row, is the eigenvalue matrix m Row unevenness, To set the threshold.

4. A method for quickly verifying variable flow inlet wind tunnel test data according to claim 3, characterized in that: The setting threshold is specifically: For the steady-state static pressure measurement point group matrix of the measuring section, α≤0.05; for the steady-state total pressure point group matrix of the flowmeter and the steady-state static pressure measurement point group matrix of the flowmeter, α≤0.03; for the dynamic pressure measurement point group matrix of the measuring section, α≤1.

0.

5. An electronic device, characterized in that The method comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method for rapidly verifying variable flow inlet wind tunnel test data as described in any one of claims 1 to 4 when executing the computer program.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for quickly verifying the variable flow inlet wind tunnel test data according to any one of claims 1 to 4 is implemented.

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